A 10-second limit per decision; every row re-scored
From v1.7.0 a decision that takes longer than 10 seconds counts as a wrong answer and as zero calibration for that item. Every row of the previous board is re-scored from its recorded per-decision times; no model was run again for the re-scored rows. The values of the previous release stay visible next to the new ones. 26 rows were measured for the first time under the rule (new in v1.7.0) and carry no previous values. 4 earlier CPU rows were measured again on the same items on a GPU; the GPU row replaces the CPU row in full (scores and times) and the CPU values stay visible as its previous values.
Aggregate results JSON · SHA-256 8c808411bb622bd9cae4c56421bd7b52b304f6a03549e92183e68c9e44984416 · Previous v1.6.43
What changed in v1.7.0
Method v1.7: from v1.7.0 a decision that takes longer than 10 seconds (the measured time, strictly more than 10.000 s) counts as a wrong answer and as zero calibration for that item (each item type's calibration is multiplied by the share of its decisions answered within 10 s). Every row is re-scored from its recorded per-decision times: Intelligence, Calibration, Capability, the composites and their intervals are recomputed with the same frozen scorer plus the rule; the Speed axis now uses all decisions given (it replaces the 124-item subset of v1.6). Cost, tokens, the draws, the raw outputs and the field median are unchanged; no model was run again for the re-scored rows. Every re-scored row shows its v1.6 values next to the new ones.
Time limit on measured time: the limit uses the measured latency, not the displayed estimate (x2 + 0.15 s for self-hosted rows), so a self-hosted row can show an adjusted p95 above 10 s with no decision over the limit. In total 1,455 decisions across 59 rows are over the limit.
Re-measure pending: 5 rows (chon-1.0-e4b, nev-2b, modernbert-jev-v2, mghafiri-qwen3.5-0.8b-decision-model, reflex-instinct-0.6b) recorded their per-decision times on a loaded CPU host, so they cannot be scored under the time limit and no estimate is published. They stay on the board with their v1.6 values, labelled as v1.6, unranked, until they are measured again.
Re-measured in v1.7.0: 4 rows that were pending (loaded CPU host) were measured again on the same items on a dedicated GPU. Each GPU row replaces the earlier CPU row in full, scores and times; GPU times are never combined with CPU scores, and the CPU values stay visible as the row's v1.6 values. pjev-2b (Kailune AI, frozen MiniCPM5-2B + merged LoRA r64, letter-logit readout, T=1 stub) (pjev-2b): no decision took longer than 10 seconds; re-measured on the same items, second and last use of these weights on the draw. PurpleMIST-Mini-1.0 (Olaverse) (purplemist-mini-1.0): no decision took longer than 10 seconds; re-measured on the same items, second and last use of these weights on the draw. Vega-U (Qwen3.5-4B reader) (vega-u-qwen3.5-4b): 15 of its 1,500 decisions took longer than 10 seconds; re-measured on the same items, second and last use of these weights on the draw. Verdin-4B (Victor Bennett, Qwen3.5-4B + merged LoRA r16 + pointer head) (verdin-4b): no decision took longer than 10 seconds; re-measured on the same items, second and last use of these weights on the draw.
Open/sealed gap penalty: the public-versus-sealed gap penalty is computed from the row's own results, so a decision that now fails can slightly reduce that penalty and raise Intelligence a little. This affects 1 row in this release (shisa-de-1 (shisa-ai, Gemma-4-26B-A4B): +0.006 Intelligence points); it is a side effect of the existing penalty, not a change to it.
Dated carry: 14 rows measured before v1.6 (v1.5 method) are carried as published and not re-scored.
Equated API rows: the pool re-runs behind the A4 and A5 equating offsets are scored under the same rule, so the offsets moved with them. These rows keep the 2-decimal precision of their earlier publication.
New in v1.7.0: 26 rows measured for the first time under the 10 s rule. AJev lm6q (Gemma 4 31B) (ajev-gemma4-31b-lm6q): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. Aleria Judge 1.1.1 (ALERIA-ML, inference technique on stock Gemma 4 31B, author server, self-hosted) (aleria-judge-1.1.1): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; 15 of its 1,500 decisions took longer than 10 seconds and are scored by the rule. Its mandatory disclosure and licence note are shown on the row. Arcbright Elf 1 31B (arcbright-elf-1-31b): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. Bobcat 1.3 (Gemma 4 31B) (bobcat-1.3): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; 15 of its 1,500 decisions took longer than 10 seconds and are scored by the rule. Its mandatory disclosure and licence note are shown on the row. DecisionNode Edge 0.9.2 (decisionnode-edge-0.9.2): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. DecisionNode Edge Mini 0.9.2 (decisionnode-edge-mini-0.9.2): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. baselabs elephant-1 (9B) (elephant-1): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. Fastino GLiDE 1.2 (open weights, self-hosted) (fastino-glide-1.2-open): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. Jeffan-31b-1710 (jeffan-31b-1710): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; 15 of its 1,500 decisions took longer than 10 seconds and are scored by the rule. Its mandatory disclosure and licence note are shown on the row. Jeffan-4B-2010 (jeffan-4b-2010): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. Jez-large-1.0.0 (pragmaticfrontier, Gemma-4-E4B label-logit decision model, author server, self-hosted) (jez-large-1.0.0): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. Jez-small-1.0.0 (pragmaticfrontier, Qwen3.5-0.8B label-logit decision model, author server, self-hosted) (jez-small-1.0.0): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. KnowLine 31B-Gen1 (knowline-31b-gen1): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; 15 of its 1,500 decisions took longer than 10 seconds and are scored by the rule. Its mandatory disclosure and licence note are shown on the row. KnowLine 35B-A3B-Gen1.5 (knowline-35b-a3b-gen1.5): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. FrontiersMind Lumma-fev-27B (lumma-fev-27b): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. baselabs mammoth-1 (27B) (mammoth-1): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. Nimble-v4-max (open weights, self-hosted) (nimble-v4-max-open): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; 1 of its 1,500 decision took longer than 10 seconds and is scored by the rule. Its mandatory disclosure and licence note are shown on the row. Seb-9B-v2 (ironbcc, Qwen3.5-9B fine-tune, one forward pass, stock vLLM, self-hosted) (seb-9b-v2): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. Super Decider (singularity-super-decider): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; 11 of its 1,500 decisions took longer than 10 seconds and are scored by the rule. Its mandatory disclosure and licence note are shown on the row. Super Decider (thinking) (singularity-super-decider-thinking): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; 4 of its 1,500 decisions took longer than 10 seconds and are scored by the rule. Its mandatory disclosure and licence note are shown on the row. Standard One 3B SH v4 (Standard Thinking) (standard_one_3b_sh_v4): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. Tern-35B-A3B (matthewagi, Qwen3.6 35B-A3B MoE decision model, author server, self-hosted) (tern-35b-a3b): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. Vera Large (vera-large): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. vLLM-SR d3-mini (vllm-sr-d3-mini): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; 15 of its 1,500 decisions took longer than 10 seconds and are scored by the rule. Its mandatory disclosure and licence note are shown on the row. Wald 26B-A4B (Gemma 4 26B-A4B) (wald-26b-a4b): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row. Xevn-4B (xevn-4b): measured for the first time under the 10 s rule, so it has no v1.6 values and no old-versus-new comparison; no decision took longer than 10 seconds. Its mandatory disclosure and licence note are shown on the row.
Board effect: the 10 s rule (method v1.7) re-scored every row; the merged-board top fives before/after v1.7.0 were compared over all 36 mixed, open-weights and API variants (including cost caps of 7x and 10x the reference cost, each also with no latency cap). The reference cost is that of Jev 1.13.0, USD 0.0323 per 1,000 decisions, and the official cap is 2x that. Together with 4 release-board lists, 37 of 40 top-five lists change. Top-five changes caused by: the 10 s rule (method v1.7) and the new rows arcbright-elf-1-31b, fastino-glide-1.2-open, knowline-31b-gen1, mammoth-1, singularity-super-decider, singularity-super-decider-thinking (measured for the first time in v1.7.0); entering a top five: arcbright-elf-1-31b, fastino-glide-1.2-open, kettei-fat, knowline-31b-gen1, mammoth-1, singularity-super-decider, singularity-super-decider-thinking; leaving a top five: chon-1.0-12b, drex-max, fastino-glide-api, h2o-lightning-31b, liquid-d1-ultra, nimble-v4-max, qwen3.8-27b, subq-snap-1.1, subq-snap-preview, vllm-sr-d3, vllm-sr-d3-turbo.
Publication of v1.7.0: Florian selected "Publish (recommended)" on Telegram card #18506 (2026-10-24T14:13:05Z), the top-five preview card with preview PNG sha256 b082a945643c70be13f1628cfb9a908f4d11f1acdc72e33b2785ffecad617d2e. Florian top-five preview approval: Telegram card #18506; selected "Publish (recommended)" (2026-10-24T14:13:05Z); preview PNG SHA-256 b082a945643c70be13f1628cfb9a908f4d11f1acdc72e33b2785ffecad617d2e.
Old and new values, every row (250 re-scored · 26 new in v1.7.0 · 4 re-measured on a GPU · 5 re-measure pending · 14 carried)
Old = v1.6.43 (method v1.6, no time limit). New = v1.7.0 (method v1.7). A decision that takes longer than 10 seconds (measured time) counts as a wrong answer and as zero calibration for that item: each type's calibration is multiplied by the share of its decisions answered within 10 s. The limit uses the measured time (raw). The displayed adjusted time for self-hosted rows (2 × + 0.15 s) is an assumption and is not used for the limit. Rows marked “re-measure pending under the 10 s rule” keep only their v1.6 values; they have no v1.7 value and no v1.7 rank. Carried rows were “measured before the 10 s rule (v1.5 method), not re-scored”.
| System | Method | A v1.6.43 | A v1.7.0 | Δ A | Capability v1.6.43 | Capability v1.7.0 | Rank old → new | Speed v1.6.43 | Speed v1.7.0 | p50 / p95 (measured) | Over 10 s | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Super Decider | v1.7 · 10 s rule | — | 78.48 | — | — | 84.87 | — → 1 | — | 85.3 | 0.246 / 1.197 s | 11 of 1500 | new in v1.7.0 (no v1.6 value) |
| kettei-fat (Sqwish) | v1.7 · 10 s rule | 77.74 | 77.69 | -0.05 | 86.31 | 86.31 | 1 → 2 | 93.2 | 92.9 | 0.202 / 0.253 s | 0 of 1500 | re-scored |
| Fastino GLiDE (hosted API, 22 Oct 2026) | v1.7 · 10 s rule | 76.61 | 76.44 | -0.17 | 84.70 | 84.46 | 2 → 3 | 87.3 | 87.0 | 0.357 / 0.558 s | 2 of 1497 | re-scored |
| Torchcast Decision 4B (v1.3) | v1.7 · 10 s rule | 76.19 | 76.16 | -0.03 | 77.50 | 77.50 | 3 → 4 | 92.6 | 92.4 | 0.034 / 0.056 s | 0 of 1500 | re-scored |
| d1-ultra (Liquid AI) | v1.7 · 10 s rule | 76.06 | 76.05 | -0.01 | 80.48 | 80.48 | 4 → 5 | 89.0 | 88.9 | 0.231 / 0.553 s | 0 of 1500 | re-scored |
| SubQ Snap 1.1 (SubQ) | v1.7 · 10 s rule | 75.75 | 75.74 | -0.01 | 81.91 | 81.91 | 5 → 6 | 84.9 | 84.9 | 0.469 / 0.690 s | 0 of 1500 | re-scored |
| Drex Max (Nace AI) | v1.7 · 10 s rule | 75.41 | 75.38 | -0.03 | 84.23 | 84.23 | 7 → 7 | 89.8 | 89.6 | 0.254 / 0.428 s | 0 of 1500 | re-scored |
| Bespoke Nimble-v4-max (Bespoke Labs) | v1.7 · 10 s rule | 75.44 | 74.82 | -0.62 | 79.72 | 79.72 | 6 → 8 | 91.5 | 87.9 | 0.257 / 0.626 s | 0 of 1500 | re-scored |
| Super Decider (thinking) | v1.7 · 10 s rule | — | 74.54 | — | — | 85.85 | — → 9 | — | 79.8 | 0.888 / 1.171 s | 4 of 1500 | new in v1.7.0 (no v1.6 value) |
| SubQ Snap (preview, SubQ) | v1.7 · 10 s rule | 74.39 | 74.38 | -0.01 | 81.47 | 81.47 | 8 → 10 | 86.4 | 86.4 | 0.466 / 0.496 s | 0 of 1500 | re-scored |
| H2O-Lightning-4B v1.1 (H2O.ai, Qwen3.5-4B fine-tune, stock vLLM + open shim) | v1.7 · 10 s rule | 73.82 | 73.78 | -0.04 | 75.00 | 75.00 | 10 → 11 | 92.6 | 92.4 | 0.031 / 0.061 s | 0 of 1500 | re-scored |
| Sage 1.3.0 (Levanto Labs) | v1.7 · 10 s rule | 74.05 | 73.73 | -0.32 | 78.60 | 78.60 | 9 → 12 | 93.6 | 91.6 | 0.171 / 0.405 s | 0 of 1500 | re-scored |
| kettei-chub (Sqwish) | v1.7 · 10 s rule | 73.48 | 73.45 | -0.03 | 73.14 | 73.14 | 11 → 13 | 95.1 | 94.9 | 0.168 / 0.193 s | 0 of 1500 | re-scored |
| H2O-Lightning-31B v1.0.7 (H2O.ai, Gemma-4-31B-it fine-tune, vLLM + h2oai overlay, one-engine FP8 profile, self-hosted) | v1.7 · 10 s rule | 73.44 | 73.07 | -0.37 | 85.17 | 84.34 | 12 → 14 | 89.8 | 89.5 | 0.065 / 0.126 s | 15 of 1500 | re-scored |
| Torchcast Decision 4B (v1.2) | v1.7 · 10 s rule | 73.03 | 73.00 | -0.04 | 72.61 | 72.61 | 14 → 15 | 91.1 | 90.9 | 0.063 / 0.073 s | 0 of 1500 | re-scored |
| d1 (Liquid AI) | v1.7 · 10 s rule | 73.05 | 72.82 | -0.23 | 74.42 | 74.42 | 13 → 16 | 89.2 | 87.9 | 0.269 / 0.609 s | 0 of 1500 | re-scored |
| Mercury Decide (Inception; System One decisions API, served free on OpenRouter as inception/mercury-decide:free) | v1.7 · 10 s rule | 72.37 | 72.25 | -0.12 | 73.63 | 73.63 | 15 → 17 | 85.5 | 84.8 | 0.344 / 0.959 s | 0 of 1500 | re-scored |
| decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) | v1.7 · 10 s rule | 71.69 | 71.68 | -0.01 | 79.57 | 79.57 | 16 → 18 | 91.2 | 91.1 | 0.047 / 0.083 s | 0 of 1500 | re-scored |
| basal-omni-1.0-ultra (Remek Kinas, Gemma-4-31B-it + merged LoRA, typed-decision readout, self-hosted) | v1.7 · 10 s rule | 71.69 | 71.45 | -0.24 | 82.54 | 82.13 | 17 → 19 | 87.3 | 86.6 | 0.108 / 0.222 s | 15 of 1500 | re-scored |
| Jev 1.13.0 (TypeSafe AI) | v1.7 · 10 s rule | 71.49 | 71.45 | -0.04 | 77.13 | 77.13 | 18 → 20 | 91.5 | 91.2 | 0.243 / 0.311 s | 0 of 1500 | re-scored |
| Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits) | v1.7 · 10 s rule | 71.39 | 71.30 | -0.09 | 81.69 | 81.69 | 19 → 21 | 86.9 | 86.4 | 0.122 / 0.218 s | 0 of 1500 | re-scored |
| Celeris-1 Decision (Celeris) | v1.7 · 10 s rule | 70.97 | 70.96 | -0.01 | 73.62 | 73.62 | 20 → 22 | 87.0 | 86.9 | 0.433 / 0.469 s | 0 of 1500 | re-scored |
| Torchcast Decision 4B (v1.1) | v1.7 · 10 s rule | 70.68 | 70.67 | -0.01 | 68.66 | 68.66 | 23 → 23 | 93.6 | 93.5 | 0.022 / 0.039 s | 0 of 1500 | re-scored |
| Myles-G 31B (Launchables) | v1.7 · 10 s rule | 70.68 | 70.57 | -0.11 | 78.82 | 78.82 | 24 → 24 | 86.6 | 85.9 | 0.445 / 0.571 s | 0 of 1500 | re-scored |
| Arcbright Elf 1 31B | v1.7 · 10 s rule | — | 70.51 | — | — | 81.79 | — → 25 | — | 89.9 | 0.062 / 0.114 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| decider-12b v2 (Mapika) | v1.7 · 10 s rule | 70.88 | 70.30 | -0.58 | 72.50 | 71.35 | 21 → 26 | 90.5 | 90.5 | 0.054 / 0.099 s | 23 of 1500 | re-scored |
| Xevn-4B | v1.7 · 10 s rule | — | 70.18 | — | — | 68.64 | — → 27 | — | 91.6 | 0.041 / 0.072 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| Jev 1.14.0 (TypeSafe AI) | v1.7 · 10 s rule | 70.15 | 70.15 | +0.00 | 75.01 | 75.01 | 26 → 28 | 91.0 | 91.0 | 0.227 / 0.352 s | 0 of 1500 | re-scored |
| torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout) | v1.7 · 10 s rule | 69.91 | 69.85 | -0.06 | 71.74 | 71.74 | 27 → 29 | 91.7 | 91.3 | 0.045 / 0.078 s | 0 of 1500 | re-scored |
| decider-12b v1, stock Gemma-4-12B-it (Mapika) | v1.7 · 10 s rule | 70.42 | 69.84 | -0.59 | 72.20 | 71.04 | 25 → 30 | 90.5 | 90.4 | 0.054 / 0.100 s | 23 of 1500 | re-scored |
| metask-jev-rain-31B-trained | v1.7 · 10 s rule | 69.74 | 69.59 | -0.15 | 78.91 | 78.91 | 28 → 31 | 83.2 | 82.3 | 0.233 / 0.399 s | 0 of 1500 | re-scored |
| vLLM-SR d3-mini | v1.7 · 10 s rule | — | 69.52 | — | — | 68.77 | — → 32 | — | 93.1 | 0.028 / 0.045 s | 15 of 1500 | new in v1.7.0 (no v1.6 value) |
| Bobcat 1.3 (Gemma 4 31B) | v1.7 · 10 s rule | — | 69.38 | — | — | 77.86 | — → 33 | — | 89.3 | 0.069 / 0.129 s | 15 of 1500 | new in v1.7.0 (no v1.6 value) |
| Microsoft-Decision-1 (Azure Foundry) | v1.7 · 10 s rule | 69.11 | 69.08 | -0.03 | 70.78 | 70.78 | 29 → 34 | 81.5 | 81.4 | 0.479 / 1.518 s | 0 of 1500 | re-scored |
| wity-1 (Wity, reasoning auto) | v1.7 · 10 s rule | 70.77 | 68.96 | -1.80 | 79.12 | 76.91 | 22 → 35 | 71.8 | 68.3 | 1.847 / 7.970 s | 36 of 1500 | re-scored |
| Winnow-12B Q8 | v1.7 · 10 s rule | 68.89 | 68.80 | -0.08 | 71.25 | 71.25 | 30 → 36 | 86.7 | 86.2 | 0.124 / 0.229 s | 0 of 1500 | re-scored |
| deck-31B (krishna765, frozen Gemma-4-31B-it, TorchAO FP8 dynamic) | v1.7 · 10 s rule | 68.68 | 68.63 | -0.05 | 77.59 | 77.59 | 31 → 37 | 86.7 | 86.4 | 0.130 / 0.205 s | 0 of 1500 | re-scored |
| Jeff-1.0-Large | v1.7 · 10 s rule | 68.59 | 68.54 | -0.05 | 81.50 | 81.50 | 32 → 38 | 88.8 | 88.5 | 0.084 / 0.149 s | 0 of 1500 | re-scored |
| Cygnet (blockbrain, frozen Gemma-4-12B-it) | v1.7 · 10 s rule | 68.55 | 68.49 | -0.06 | 70.90 | 70.90 | 33 → 39 | 91.8 | 91.4 | 0.045 / 0.077 s | 0 of 1500 | re-scored |
| Myles-G 12B (Launchables) | v1.7 · 10 s rule | 68.41 | 68.35 | -0.06 | 70.65 | 70.65 | 34 → 40 | 85.6 | 85.3 | 0.484 / 0.611 s | 0 of 1500 | re-scored |
| Wald 26B-A4B (Gemma 4 26B-A4B) | v1.7 · 10 s rule | — | 68.21 | — | — | 76.78 | — → 41 | — | 92.0 | 0.043 / 0.058 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| decisio v0.8.0 on gemma-4-12B-it (frozen, one forward pass, self-hosted) | v1.7 · 10 s rule | 68.17 | 68.07 | -0.10 | 70.74 | 70.74 | 36 → 42 | 87.0 | 86.3 | 0.116 / 0.231 s | 0 of 1500 | re-scored |
| attest-31B-v1.0 | v1.7 · 10 s rule | 67.94 | 67.86 | -0.08 | 69.54 | 69.54 | 38 → 43 | 97.1 | 96.5 | 0.110 / 0.204 s | 0 of 1500 | re-scored |
| Sage 1.4 (Levanto Labs) | v1.7 · 10 s rule | 68.40 | 67.70 | -0.70 | 74.77 | 73.31 | 35 → 44 | 68.8 | 68.9 | 1.705 / 7.557 s | 15 of 1500 | re-scored |
| decisio v0.9.0 on gemma-4-12B-it (frozen, one prefill per question, self-hosted) | v1.7 · 10 s rule | 67.76 | 67.67 | -0.09 | 69.95 | 69.95 | 39 → 45 | 85.9 | 85.3 | 0.144 / 0.264 s | 0 of 1500 | re-scored |
| Jev-Omni (akhilaaa3, Gemma-4-12B merged) | v1.7 · 10 s rule | 67.75 | 67.64 | -0.11 | 71.29 | 71.29 | 40 → 46 | 85.4 | 84.7 | 0.162 / 0.280 s | 0 of 1500 | re-scored |
| metask-jev-rain-12B-trained | v1.7 · 10 s rule | 68.10 | 67.33 | -0.78 | 77.87 | 76.89 | 37 → 47 | 73.4 | 71.8 | 0.129 / 8.054 s | 12 of 1500 | re-scored |
| Bobcat Flash 1.2 (Gemma-4-26B-A4B-it + two merged rank-64 LoRA adapters, typed-decision readout at the first answer position, FP8, self-hosted) | v1.7 · 10 s rule | 67.34 | 67.14 | -0.20 | 73.49 | 73.05 | 43 → 48 | 90.8 | 90.6 | 0.062 / 0.084 s | 13 of 1500 | re-scored |
| Xor 26B-A4B (Juspay, Gemma-4-26B-A4B, bf16) | v1.7 · 10 s rule | 67.38 | 66.77 | -0.62 | 72.41 | 71.19 | 42 → 49 | 91.0 | 90.8 | 0.060 / 0.077 s | 23 of 1500 | re-scored |
| SPX-CD Flash (SurdAI, hosted /v1/systemone, Oct-4 checkpoint) | v1.7 · 10 s rule | 66.68 | 66.64 | -0.04 | 74.32 | 74.32 | 44 → 50 | 79.4 | 79.2 | 1.015 / 1.188 s | 0 of 1500 | re-scored |
| Messier One v0.4 (Qwen3.5-4B fine-tune, self-hosted) | v1.7 · 10 s rule | 66.16 | 66.13 | -0.03 | 62.44 | 62.44 | 45 → 51 | 89.7 | 89.4 | 0.069 / 0.123 s | 0 of 1500 | re-scored |
| decider chat on Gemma-4-31B-it (Mapika, frozen base, inference technique) | v1.7 · 10 s rule | 66.08 | 66.03 | -0.05 | 70.58 | 70.45 | 46 → 52 | 85.8 | 85.8 | 0.126 / 0.255 s | 7 of 1500 | re-scored |
| Hopper 12B trained (gemma-4-12B-it frozen + LoRA r32 unmerged, one forward pass, self-hosted) | v1.7 · 10 s rule | 65.78 | 65.64 | -0.14 | 68.15 | 68.15 | 47 → 53 | 84.6 | 83.6 | 0.183 / 0.344 s | 0 of 1500 | re-scored |
| metask-jev-rain-31B-trained service v3 | v1.7 · 10 s rule | 67.66 | 65.56 | -2.10 | 79.60 | 79.60 | 41 → 54 | 84.7 | 73.3 | 0.185 / 4.455 s | 0 of 1500 | re-scored |
| Surogate Rune 26B-A4B v3 (v1.6 pool) | v1.7 · 10 s rule | 65.05 | 64.99 | -0.06 | 73.47 | 73.47 | 48 → 55 | 87.0 | 86.5 | 0.117 / 0.214 s | 0 of 1500 | re-scored |
| GEV-26B-Decide (AutoTrust, Gemma-4-26B-A4B + LoRA + head) | v1.7 · 10 s rule | 64.22 | 64.19 | -0.03 | 70.08 | 70.08 | 50 → 56 | 89.9 | 89.6 | 0.054 / 0.136 s | 0 of 1500 | re-scored |
| SPX-CD-Omni (SurdAI, google/gemma-4-12B-it + LoRA r32, one forward pass, self-hosted) | v1.7 · 10 s rule | 63.16 | 63.11 | -0.05 | 68.13 | 68.13 | 51 → 57 | 89.4 | 89.1 | 0.075 / 0.132 s | 0 of 1500 | re-scored |
| Metask rain 4B | v1.7 · 10 s rule | 62.70 | 62.51 | -0.19 | 65.99 | 65.99 | 52 → 58 | 79.6 | 78.4 | 0.083 / 2.216 s | 0 of 1500 | re-scored |
| shisa-de-1 (shisa-ai, Gemma-4-26B-A4B) | v1.7 · 10 s rule | 62.43 | 62.42 | -0.00 | 65.55 | 65.53 | 54 → 59 | 92.8 | 92.7 | 0.032 / 0.051 s | 1 of 1500 | re-scored |
| OpenAI Decisions (gpt-6-luna) | v1.7 · 10 s rule | 62.50 | 62.37 | -0.13 | 73.50 | 73.50 | 53 → 60 | 89.3 | 88.3 | 0.305 / 0.484 s | 0 of 600 | re-scored |
| Instinct (ZooWork, Qwen3.8-27B) | v1.7 · 10 s rule | 62.24 | 62.23 | -0.01 | 70.47 | 70.47 | 55 → 61 | 87.2 | 87.1 | 0.296 / 0.653 s | 0 of 600 | re-scored |
| Blink v0.3 26B-A4B | v1.7 · 10 s rule | 61.16 | 61.12 | -0.04 | 69.95 | 69.95 | 57 → 62 | 91.5 | 91.1 | 0.052 / 0.076 s | 0 of 1500 | re-scored |
| HS1 0.1.2 (Hyland) | v1.7 · 10 s rule | 61.45 | 61.07 | -0.38 | 65.04 | 64.35 | 56 → 63 | 93.7 | 93.5 | 0.199 / 0.224 s | 15 of 1500 | re-scored |
| baselabs elephant-1 (9B) | v1.7 · 10 s rule | — | 60.91 | — | — | 70.25 | — → 64 | — | 89.7 | 0.075 / 0.102 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| Diffusion Jev (DiffusionGemma 26B-A4B on patched SGLang, 48-step diffusion readout, self-hosted) | v1.7 · 10 s rule | 59.33 | 59.27 | -0.06 | 58.09 | 58.09 | 58 → 65 | 86.8 | 86.3 | 0.131 / 0.210 s | 0 of 1500 | re-scored |
| René-1 31B FP8 (salfatigroup, Gemma 4 31B full fine-tune, one-pass option readout) | v1.7 · 10 s rule | 55.85 | 55.80 | -0.05 | 75.95 | 75.95 | 60 → 66 | 87.1 | 86.7 | 0.113 / 0.206 s | 0 of 1500 | re-scored |
| Wald 4B v2.1 | v1.7 · 10 s rule | 54.29 | 54.26 | -0.03 | 69.27 | 69.27 | 62 → 67 | 93.1 | 92.8 | 0.029 / 0.052 s | 0 of 1500 | re-scored |
| pplx-decider-flash-v1.2 (Perplexity, Qwen3.5-4B full fine-tune, marker readout, self-hosted) | v1.7 · 10 s rule | 56.60 | 54.01 | -2.60 | 62.51 | 61.74 | 59 → 68 | 91.8 | 91.5 | 0.044 / 0.075 s | 15 of 1500 | re-scored |
| Bespoke Nimble 9B v3 (Qwen3.5-9B LoRA) | v1.7 · 10 s rule | 53.48 | 53.46 | -0.02 | 66.79 | 66.79 | 63 → 69 | 89.2 | 89.0 | 0.095 / 0.111 s | 0 of 1500 | re-scored |
| Aplomb 1 (5.3B decision model on Qwen3.5-4B, trained readout head, self-hosted) | v1.7 · 10 s rule | 54.56 | 52.89 | -1.67 | 67.52 | 67.09 | 61 → 70 | 88.9 | 88.8 | 0.093 / 0.124 s | 5 of 1500 | re-scored |
| Respan Span-02 | v1.7 · 10 s rule | 51.45 | 51.49 | +0.04 | 69.34 | 69.34 | 64 → 71 | 85.3 | 85.7 | 0.031 / 0.559 s | 0 of 1500 | re-scored |
| Seb-9B-v2 (ironbcc, Qwen3.5-9B fine-tune, one forward pass, stock vLLM, self-hosted) | v1.7 · 10 s rule | — | 50.05 | — | — | 64.82 | — → 72 | — | 92.0 | 0.035 / 0.069 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| APUS-OpenJev-v1-9B (merged bf16 checkpoint-3000 on Qwen3.5-9B, their own native runtime, full depth, self-hosted) | v1.7 · 10 s rule | 49.18 | 49.17 | -0.01 | 56.91 | 56.91 | 65 → 73 | 82.2 | 82.1 | 0.282 / 0.361 s | 0 of 1500 | re-scored |
| Arcbright Elf 1 12B | v1.7 · 10 s rule | 48.81 | 48.77 | -0.03 | 64.96 | 64.96 | 66 → 74 | 92.0 | 91.6 | 0.042 / 0.072 s | 0 of 1500 | re-scored |
| Jeffan-31b-1710 | v1.7 · 10 s rule | — | 48.72 | — | — | 81.68 | — → 75 | — | 84.7 | 0.123 / 0.359 s | 15 of 1500 | new in v1.7.0 (no v1.6 value) |
| Plumb-4B (crh225, JevK5 v0.2 + LoRA) | v1.7 · 10 s rule | 48.28 | 47.93 | -0.36 | 65.42 | 65.32 | 67 → 76 | 93.8 | 93.7 | 0.021 / 0.036 s | 2 of 1500 | re-scored |
| SPX-CD Pro (SurdAI, hosted /v1/systemone, Oct-4 checkpoint) | v1.7 · 10 s rule | 47.67 | 47.55 | -0.12 | 78.64 | 78.48 | 68 → 77 | 78.0 | 77.4 | 1.145 / 1.576 s | 1 of 1500 | re-scored |
| Messier One v0.2 (Qwen3.5-4B fine-tune, one prefill, self-hosted) | v1.7 · 10 s rule | 45.29 | 45.28 | -0.01 | 58.13 | 58.13 | 70 → 78 | 92.7 | 92.6 | 0.029 / 0.058 s | 0 of 1500 | re-scored |
| spark-s1-4b-v6 (Open Spark Jev, abhishek085) | v1.7 · 10 s rule | 44.90 | 44.85 | -0.06 | 54.02 | 54.02 | 71 → 79 | 87.0 | 86.3 | 0.129 / 0.209 s | 0 of 1500 | re-scored |
| KnowLine 31B-Gen1 | v1.7 · 10 s rule | — | 44.38 | — | — | 85.21 | — → 80 | — | 81.4 | 0.255 / 0.469 s | 15 of 1500 | new in v1.7.0 (no v1.6 value) |
| swanOne (blockbrain, Qwen3.8-Flash-Next NVFP4) | v1.7 · 10 s rule | 43.79 | 43.79 | +0.00 | 72.37 | 72.37 | 72 → 81 | 82.6 | 82.7 | 0.280 / 0.307 s | 0 of 1500 | re-scored |
| AJev lm6q (Gemma 4 31B) | v1.7 · 10 s rule | — | 43.72 | — | — | 81.40 | — → 82 | — | 82.5 | 0.213 / 0.418 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| Quyet-1.0-Medium (Chinh Nguyen, Qwen3.5-4B decoder, option-letter logits) | v1.7 · 10 s rule | 43.59 | 43.56 | -0.03 | 59.25 | 59.25 | 73 → 83 | 89.5 | 89.1 | 0.082 / 0.119 s | 0 of 1500 | re-scored |
| Bespoke Nimble-v4 (Bespoke Labs) | v1.7 · 10 s rule | 43.22 | 43.23 | +0.01 | 64.02 | 64.02 | 74 → 84 | 88.4 | 88.5 | 0.232 / 0.604 s | 0 of 1500 | re-scored |
| Vansa-3.4 (Vansa, hosted System One API) | v1.7 · 10 s rule | 42.60 | 42.57 | -0.03 | 63.68 | 63.68 | 75 → 85 | 95.5 | 95.0 | 0.158 / 0.198 s | 0 of 600 | re-scored |
| JPT-4B (kirp, Qwen3.5-4B LoRA) | v1.7 · 10 s rule | 42.18 | 42.17 | -0.01 | 63.82 | 63.82 | 76 → 86 | 88.0 | 87.8 | 0.066 / 0.219 s | 0 of 1500 | re-scored |
| lev (Interfaze AI, Qwen3.5-4B + LoRA r32, label-token readout + candidate-path head, per-bucket temperatures) | v1.7 · 10 s rule | 42.18 | 42.14 | -0.04 | 61.70 | 61.70 | 77 → 87 | 88.0 | 87.5 | 0.105 / 0.170 s | 0 of 1500 | re-scored |
| NInfer Qwen3.8-Flash-Next mixed | v1.7 · 10 s rule | 41.97 | 41.94 | -0.02 | 69.68 | 69.68 | 78 → 88 | 89.3 | 89.0 | 0.084 / 0.121 s | 0 of 1500 | re-scored |
| decider-4b v2 (Mapika) | v1.7 · 10 s rule | 41.24 | 41.12 | -0.12 | 64.88 | 64.88 | 80 → 89 | 91.8 | 90.3 | 0.028 / 0.150 s | 0 of 1500 | re-scored |
| baselabs mammoth-1 (27B) | v1.7 · 10 s rule | — | 41.08 | — | — | 85.23 | — → 90 | — | 84.4 | 0.188 / 0.270 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| Jeffan-4B-2010 | v1.7 · 10 s rule | — | 41.06 | — | — | 64.00 | — → 91 | — | 93.0 | 0.028 / 0.045 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| jev-local (Qwen3.5-9B) | v1.7 · 10 s rule | 41.33 | 41.04 | -0.29 | 57.46 | 57.46 | 79 → 92 | 75.6 | 72.9 | 0.471 / 2.275 s | 0 of 1500 | re-scored |
| GPT-6 Luna (low reasoning effort) | v1.7 · 10 s rule | 40.48 | 40.39 | -0.09 | 97.82 | 97.07 | 81 → 93 | 71.7 | 71.8 | 1.896 / 3.465 s | 3 of 600 | re-scored |
| Autoloops – Gemma 4 31B IT | v1.7 · 10 s rule | 40.18 | 40.17 | -0.01 | 72.70 | 72.70 | 82 → 94 | 84.5 | 84.4 | 0.584 / 0.616 s | 0 of 600 | re-scored |
| Wald 4B | v1.7 · 10 s rule | 39.97 | 39.70 | -0.27 | 59.76 | 59.55 | 83 → 95 | 82.2 | 82.3 | 0.044 / 1.155 s | 8 of 1500 | re-scored |
| GPT-6 Luna (default medium reasoning effort) | v1.7 · 10 s rule | 39.16 | 39.10 | -0.06 | 98.44 | 98.40 | 84 → 96 | 71.8 | 71.4 | 1.932 / 3.765 s | 5 of 600 | re-scored |
| ClassOne Qwen 3.5 9B (Qwen3.5-9B backbone with ClassOne decision heads, schema-constrained single forward pass, self-hosted) | v1.7 · 10 s rule | 38.54 | 38.51 | -0.04 | 50.47 | 50.47 | 85 → 97 | 90.2 | 89.7 | 0.064 / 0.118 s | 0 of 1500 | re-scored |
| JevK5 v0.3 (4B) | v1.7 · 10 s rule | 37.36 | 37.35 | -0.01 | 64.21 | 64.17 | 86 → 98 | 93.9 | 93.8 | 0.019 / 0.035 s | 2 of 1500 | re-scored |
| metask-jev-4b | v1.7 · 10 s rule | 37.35 | 37.33 | -0.02 | 61.79 | 61.79 | 87 → 99 | 90.8 | 90.5 | 0.058 / 0.094 s | 0 of 1500 | re-scored |
| deck-4B v1.0 (krishna765, JevK5 + LoRA, FP8 weight-only) | v1.7 · 10 s rule | 37.26 | 37.26 | -0.01 | 63.61 | 63.61 | 88 → 100 | 89.9 | 89.9 | 0.077 / 0.095 s | 0 of 1500 | re-scored |
| Kahn1 4B (Okura66, Qwen3.5-4B LoRA merge, author's sysone engine) | v1.7 · 10 s rule | 37.02 | 36.97 | -0.05 | 61.74 | 61.74 | 89 → 101 | 90.0 | 89.2 | 0.078 / 0.120 s | 0 of 1500 | re-scored |
| Clef-Flash (Cloudflare, Qwen3.5-9B post-train with a joint schema head, multimodal, measured on text) | v1.7 · 10 s rule | 36.64 | 36.62 | -0.02 | 63.82 | 63.82 | 90 → 102 | 88.4 | 88.1 | 0.104 / 0.140 s | 0 of 1500 | re-scored |
| Decision-4B (Eval Engine / Chromia) | v1.7 · 10 s rule | 35.43 | 35.40 | -0.03 | 59.10 | 59.10 | 91 → 103 | 91.1 | 90.6 | 0.056 / 0.091 s | 0 of 1500 | re-scored |
| decisor-4b | v1.7 · 10 s rule | 35.34 | 35.34 | -0.00 | 45.74 | 45.74 | 92 → 104 | 91.9 | 91.9 | 0.049 / 0.057 s | 0 of 1500 | re-scored |
| janus 4B (Icarus AI / cmxu, Qwen3.5-4B + LoRA r64 and pointer decision head) | v1.7 · 10 s rule | 35.18 | 35.15 | -0.03 | 62.85 | 62.85 | 93 → 105 | 93.2 | 92.7 | 0.031 / 0.051 s | 0 of 1500 | re-scored |
| Qwen3.5-9B Jev-like data-mix v2 | v1.7 · 10 s rule | 33.59 | 33.58 | -0.01 | 60.87 | 60.87 | 94 → 106 | 85.4 | 85.2 | 0.171 / 0.230 s | 0 of 1500 | re-scored |
| Seb-9B (ironbcc, Qwen3.5-9B fine-tune, one forward pass, stock vLLM, self-hosted) | v1.7 · 10 s rule | 32.57 | 32.56 | -0.01 | 63.14 | 63.14 | 95 → 107 | 90.8 | 90.7 | 0.050 / 0.096 s | 0 of 1500 | re-scored |
| JevK5 v0.2.0 | v1.7 · 10 s rule | 32.10 | 32.08 | -0.02 | 62.82 | 62.82 | 97 → 108 | 91.6 | 91.2 | 0.044 / 0.083 s | 0 of 1500 | re-scored |
| Tern-35B-A3B (matthewagi, Qwen3.6 35B-A3B MoE decision model, author server, self-hosted) | v1.7 · 10 s rule | — | 32.06 | — | — | 66.39 | — → 109 | — | 90.7 | 0.069 / 0.072 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| Amos 1 medium (Scira) | v1.7 · 10 s rule | 32.20 | 31.64 | -0.56 | 63.18 | 62.85 | 96 → 110 | 86.5 | 86.2 | 0.448 / 0.532 s | 10 of 1500 | re-scored |
| Aleria Judge 1.1.1 (ALERIA-ML, inference technique on stock Gemma 4 31B, author server, self-hosted) | v1.7 · 10 s rule | — | 31.17 | — | — | 76.86 | — → 111 | — | 86.4 | 0.132 / 0.202 s | 15 of 1500 | new in v1.7.0 (no v1.6 value) |
| JevOne | v1.7 · 10 s rule | 31.15 | 31.13 | -0.01 | 68.86 | 68.86 | 98 → 112 | 89.8 | 89.6 | 0.065 / 0.121 s | 0 of 1500 | re-scored |
| Fastino GLiDE | v1.7 · 10 s rule | 30.59 | 30.57 | -0.02 | 77.02 | 77.02 | 99 → 113 | 77.5 | 77.2 | 0.852 / 2.218 s | 0 of 600 | re-scored |
| Jebadiah 9B v2.1 (Frontier Infra, Qwen3.5-9B LoRA) | v1.7 · 10 s rule | 30.35 | 30.32 | -0.02 | 63.41 | 63.41 | 100 → 114 | 91.4 | 91.0 | 0.050 / 0.084 s | 0 of 1500 | re-scored |
| Verdin-4B (Victor Bennett, Qwen3.5-4B + merged LoRA r16 + pointer head) | v1.7 · 10 s rule | 21.78 | 29.86 | +8.08 | 59.54 | 59.60 | 117 → 115 | 45.9 | 90.2 | 0.058 / 0.104 s | 0 of 1500 | re-measured on a GPU (replaces the CPU row) |
| TypeCastLM 1.4.0 (Mikhail Gribov, Qwen3.5-4B computed head) | v1.7 · 10 s rule | 29.83 | 29.82 | -0.01 | 56.39 | 56.39 | 102 → 116 | 93.0 | 92.8 | 0.031 / 0.049 s | 0 of 1500 | re-scored |
| blink-4b (thegovind, Qwen3.5-4B derivative) | v1.7 · 10 s rule | 30.01 | 29.47 | -0.54 | 61.63 | 61.42 | 101 → 117 | 91.3 | 91.2 | 0.058 / 0.068 s | 2 of 1500 | re-scored |
| jiwo 4b (Qwen3.5-4B backbone with a trained decision head, one forward pass, native probabilities, self-hosted) | v1.7 · 10 s rule | 28.96 | 28.95 | -0.01 | 60.23 | 60.23 | 103 → 118 | 92.4 | 92.2 | 0.036 / 0.061 s | 0 of 1500 | re-scored |
| Imajev-4B (RTX 5090) | v1.7 · 10 s rule | 28.66 | 28.65 | -0.01 | 61.89 | 61.89 | 105 → 119 | 90.5 | 90.4 | 0.072 / 0.081 s | 0 of 1500 | re-scored |
| SimpleJev Qwen3.6-35B-A3B | v1.7 · 10 s rule | 27.57 | 27.53 | -0.04 | 68.29 | 68.29 | 106 → 120 | 76.7 | 76.1 | 0.652 / 0.943 s | 0 of 600 | re-scored |
| Uniphore-4B-Decider | v1.7 · 10 s rule | 27.17 | 27.15 | -0.02 | 57.07 | 57.07 | 107 → 121 | 87.7 | 87.3 | 0.109 / 0.178 s | 0 of 1500 | re-scored |
| Decision 2.0 Lux 9B (vLLM-SR, Qwen3.5-9B lineage) | v1.7 · 10 s rule | 27.11 | 27.09 | -0.02 | 61.65 | 61.65 | 108 → 122 | 89.9 | 89.5 | 0.070 / 0.117 s | 0 of 1500 | re-scored |
| Hopper | v1.7 · 10 s rule | 28.85 | 26.51 | -2.35 | 62.41 | 61.20 | 104 → 123 | 91.1 | 90.6 | 0.057 / 0.090 s | 22 of 1500 | re-scored |
| Malkuth-4B (newfull5, Kev post-train) | v1.7 · 10 s rule | 26.20 | 26.19 | -0.01 | 61.14 | 61.14 | 109 → 124 | 89.5 | 89.4 | 0.075 / 0.117 s | 0 of 1500 | re-scored |
| jqv (Qwen3-32B zero-shot) | v1.7 · 10 s rule | 25.39 | 25.36 | -0.03 | 61.86 | 61.86 | 110 → 125 | 83.1 | 82.5 | 0.118 / 0.659 s | 0 of 1500 | re-scored |
| JPT-35B-A3B (Qwen3.5-35B-A3B fine-tune) | v1.7 · 10 s rule | 25.36 | 25.35 | -0.01 | 70.68 | 70.68 | 111 → 126 | 90.5 | 90.4 | 0.072 / 0.081 s | 0 of 1500 | re-scored |
| decider-35b-a3b (Mapika) | v1.7 · 10 s rule | 24.77 | 24.77 | -0.00 | 66.17 | 66.17 | 112 → 127 | 91.3 | 91.2 | 0.052 / 0.075 s | 0 of 1500 | re-scored |
| CoCo-Decision-4B (corners-ai, LoRA on Qwen3.5-4B, option-label logits of one pass, served by oh-my-jev) | v1.7 · 10 s rule | 24.65 | 24.64 | -0.01 | 56.92 | 56.92 | 113 → 128 | 91.4 | 91.2 | 0.045 / 0.081 s | 0 of 1500 | re-scored |
| Manchego v2.1 | v1.7 · 10 s rule | 24.49 | 24.48 | -0.01 | 58.28 | 58.28 | 114 → 129 | 90.7 | 90.6 | 0.056 / 0.092 s | 0 of 1500 | re-scored |
| Decision 4B v1.2 (FlyMyJev, Qwen3.5-4B + LoRA) | v1.7 · 10 s rule | 24.46 | 24.46 | -0.00 | 60.41 | 60.41 | 115 → 130 | 93.9 | 93.9 | 0.020 / 0.033 s | 0 of 1500 | re-scored |
| Standard One 3B SH v4 (Standard Thinking) | v1.7 · 10 s rule | — | 24.40 | — | — | 56.04 | — → 131 | — | 93.1 | 0.031 / 0.041 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| Fastino GLiDE 1.2 (open weights, self-hosted) | v1.7 · 10 s rule | — | 22.02 | — | — | 84.92 | — → 132 | — | 85.5 | 0.140 / 0.253 s | 0 of 1497 | new in v1.7.0 (no v1.6 value) |
| Raw Qwen3 4B Instruct 2507 direct logits | v1.7 · 10 s rule | 21.79 | 21.78 | -0.01 | 34.57 | 34.57 | 116 → 133 | 91.2 | 90.7 | 0.050 / 0.094 s | 0 of 1500 | re-scored |
| StartLux-Decision v1.1 27B Instant (StartLux Labs, Qwen3.8-27B fine-tune) | v1.7 · 10 s rule | 21.62 | 21.61 | -0.01 | 82.56 | 82.56 | 118 → 134 | 90.6 | 90.3 | 0.057 / 0.101 s | 0 of 1500 | re-scored |
| Standard One 3B SH (Standard Thinking) | v1.7 · 10 s rule | 21.60 | 21.59 | -0.01 | 55.57 | 55.57 | 119 → 135 | 86.6 | 86.4 | 0.039 / 0.431 s | 0 of 1500 | re-scored |
| RSI-Jev v6.1-VL 27B | v1.7 · 10 s rule | 21.59 | 21.58 | -0.00 | 73.46 | 73.46 | 120 → 136 | 84.7 | 84.6 | 0.133 / 0.340 s | 0 of 1500 | re-scored |
| GPT-5.6 Luna (low reasoning effort) | v1.7 · 10 s rule | 21.41 | 21.36 | -0.05 | 94.49 | 93.64 | 121 → 137 | 73.1 | 73.2 | 1.586 / 3.011 s | 4 of 600 | re-scored |
| JEV-27B (AutoTrust, Qwen3.8-27B) | v1.7 · 10 s rule | 21.29 | 21.27 | -0.02 | 73.86 | 73.86 | 122 → 138 | 86.9 | 86.5 | 0.113 / 0.225 s | 0 of 1500 | re-scored |
| torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune) | v1.7 · 10 s rule | 21.27 | 21.14 | -0.14 | 81.57 | 80.22 | 123 → 139 | 87.7 | 87.6 | 0.099 / 0.173 s | 23 of 1500 | re-scored |
| Bespoke Nimble 9B (Bespoke Labs) | v1.7 · 10 s rule | 21.08 | 21.06 | -0.02 | 56.51 | 56.51 | 124 → 140 | 86.1 | 85.5 | 0.157 / 0.226 s | 0 of 1500 | re-scored |
| Nimble-v4-max (open weights, self-hosted) | v1.7 · 10 s rule | — | 20.70 | — | — | 81.16 | — → 141 | — | 84.8 | 0.154 / 0.288 s | 1 of 1500 | new in v1.7.0 (no v1.6 value) |
| pplx-decider-v1.2 (Perplexity, Qwen3.8-27B full fine-tune, marker readout, self-hosted) | v1.7 · 10 s rule | 20.74 | 20.63 | -0.10 | 81.74 | 80.84 | 125 → 142 | 86.3 | 86.0 | 0.147 / 0.210 s | 15 of 1500 | re-scored |
| Perplexity Decider v1.1 27B (Qwen3.8-27B, noncausal decision readout) | v1.7 · 10 s rule | 20.62 | 20.59 | -0.03 | 82.79 | 82.71 | 127 → 143 | 86.8 | 86.4 | 0.131 / 0.206 s | 1 of 1500 | re-scored |
| vLLM-SR d3-turbo | v1.7 · 10 s rule | 20.48 | 20.46 | -0.02 | 82.59 | 82.59 | 129 → 144 | 86.0 | 85.6 | 0.151 / 0.227 s | 0 of 1500 | re-scored |
| vLLM-SR d3 | v1.7 · 10 s rule | 20.54 | 20.45 | -0.09 | 82.97 | 82.15 | 128 → 145 | 87.4 | 87.0 | 0.110 / 0.194 s | 15 of 1500 | re-scored |
| reflex 4B (kshetrajna12) | v1.7 · 10 s rule | 20.64 | 20.43 | -0.21 | 58.96 | 58.86 | 126 → 146 | 68.8 | 68.8 | 1.362 / 2.240 s | 2 of 1500 | re-scored |
| Vera Large | v1.7 · 10 s rule | — | 20.31 | — | — | 79.55 | — → 147 | — | 88.0 | 0.092 / 0.161 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| Amos 1 large (Scira) | v1.7 · 10 s rule | 20.40 | 20.25 | -0.15 | 79.36 | 77.99 | 130 → 148 | 83.6 | 83.3 | 0.532 / 0.885 s | 21 of 1500 | re-scored |
| JADE (Qwen3.8-27B LoRA) | v1.7 · 10 s rule | 20.19 | 20.18 | -0.01 | 49.25 | 49.25 | 131 → 149 | 85.5 | 85.1 | 0.136 / 0.292 s | 0 of 1500 | re-scored |
| Nagi-ENORMOUS 27B (nagisanzenin, Qwen3.8-27B LoRA) | v1.7 · 10 s rule | 19.78 | 19.77 | -0.01 | 73.77 | 73.77 | 132 → 150 | 86.2 | 85.8 | 0.154 / 0.211 s | 0 of 1500 | re-scored |
| typecastlm (Mikhail Gribov, Qwen3.5-4B computed head) | v1.7 · 10 s rule | 19.72 | 19.72 | -0.00 | 56.54 | 56.54 | 133 → 151 | 92.8 | 92.7 | 0.030 / 0.053 s | 0 of 1500 | re-scored |
| Jebadiah 27B (Frontier Infra, Qwen3.8-27B LoRA) | v1.7 · 10 s rule | 19.26 | 19.22 | -0.04 | 70.31 | 70.23 | 134 → 152 | 85.8 | 85.1 | 0.157 / 0.260 s | 1 of 1500 | re-scored |
| iota-decide-4b (Macrocosmos, Clef joint-head 4B, self-hosted) | v1.7 · 10 s rule | 18.94 | 18.93 | -0.01 | 57.12 | 57.12 | 135 → 153 | 87.5 | 87.1 | 0.122 / 0.170 s | 0 of 1500 | re-scored |
| Decision 2.0 Vega 27B (vLLM-SR, Qwen3.8-27B) | v1.7 · 10 s rule | 18.88 | 18.87 | -0.02 | 71.31 | 71.31 | 136 → 154 | 83.8 | 83.3 | 0.196 / 0.351 s | 0 of 1500 | re-scored |
| Jebadiah 9B v2 (Frontier Infra, Qwen3.5-9B LoRA) | v1.7 · 10 s rule | 18.78 | 18.78 | -0.00 | 56.95 | 56.95 | 137 → 155 | 91.6 | 91.5 | 0.055 / 0.062 s | 0 of 1500 | re-scored |
| Standard One 8B SH (Standard Thinking) | v1.7 · 10 s rule | 18.75 | 18.74 | -0.00 | 59.98 | 59.98 | 138 → 156 | 84.3 | 84.2 | 0.067 / 0.596 s | 0 of 1500 | re-scored |
| Decision 4B v1.1 (FlyMyJev, Qwen3.5-4B + LoRA) | v1.7 · 10 s rule | 18.72 | 18.72 | -0.00 | 57.19 | 57.19 | 139 → 157 | 94.0 | 93.9 | 0.019 / 0.033 s | 0 of 1500 | re-scored |
| AutoJev-27B (denis-pplx, Qwen3.8-27B) | v1.7 · 10 s rule | 18.46 | 18.45 | -0.01 | 71.62 | 71.62 | 140 → 158 | 88.6 | 88.3 | 0.100 / 0.135 s | 0 of 1500 | re-scored |
| pjev-2b (Kailune AI, frozen MiniCPM5-2B + merged LoRA r64, letter-logit readout, T=1 stub) | v1.7 · 10 s rule | 15.76 | 18.07 | +2.31 | 57.72 | 56.45 | 156 → 159 | 49.1 | 92.7 | 0.035 / 0.047 s | 0 of 1500 | re-measured on a GPU (replaces the CPU row) |
| Eikos-27B (caiovicentino1, Qwen3.8-27B) | v1.7 · 10 s rule | 18.08 | 18.07 | -0.01 | 77.19 | 77.19 | 141 → 160 | 88.1 | 87.9 | 0.115 / 0.139 s | 0 of 1500 | re-scored |
| Instinct Dual 4B | v1.7 · 10 s rule | 17.97 | 17.97 | 0.00 | 57.21 | 57.21 | 142 → 161 | 88.6 | 88.6 | 0.232 / 0.601 s | 0 of 600 | re-scored |
| NInfer Qwen3.8-27B NVFP4 | v1.7 · 10 s rule | 17.72 | 17.71 | -0.01 | 67.99 | 67.99 | 143 → 162 | 90.5 | 90.2 | 0.057 / 0.107 s | 0 of 1500 | re-scored |
| Compass 0.2.0 (adimyth, Qwen3.5-4B LoRA) | v1.7 · 10 s rule | 17.61 | 17.61 | -0.01 | 56.09 | 56.09 | 144 → 163 | 83.3 | 83.1 | 0.257 / 0.298 s | 0 of 1500 | re-scored |
| JEB-35B-A3B (szybkie.ai, Qwen3.6-35B-A3B LoRA) | v1.7 · 10 s rule | 17.30 | 17.30 | -0.00 | 61.61 | 61.61 | 145 → 164 | 93.0 | 92.9 | 0.036 / 0.042 s | 0 of 1500 | re-scored |
| OpenJev (thinking, BF16) | v1.7 · 10 s rule | 17.27 | 17.27 | +0.01 | 75.88 | 75.78 | 146 → 165 | 72.6 | 72.9 | 0.889 / 1.251 s | 1 of 1500 | re-scored |
| Open-Jev 9B (Zefan Cai) | v1.7 · 10 s rule | 17.05 | 17.04 | -0.00 | 61.85 | 61.85 | 147 → 166 | 74.4 | 74.3 | 0.644 / 1.212 s | 0 of 1500 | re-scored |
| Gemini 3.1 Flash-Lite | v1.7 · 10 s rule | 16.94 | 16.93 | -0.01 | 59.75 | 59.75 | 148 → 167 | 79.0 | 79.0 | 0.962 / 1.317 s | 0 of 600 | re-scored |
| Standard One 8B (Standard Thinking) | v1.7 · 10 s rule | 16.92 | 16.91 | -0.01 | 58.41 | 58.41 | 149 → 168 | 92.8 | 92.5 | 0.033 / 0.056 s | 0 of 1500 | re-scored |
| Clef (Cloudflare, Qwen3.8-27B post-train with a joint schema head, multimodal, measured on text) | v1.7 · 10 s rule | 16.75 | 16.73 | -0.02 | 75.33 | 75.33 | 150 → 169 | 83.4 | 82.8 | 0.230 / 0.354 s | 0 of 1500 | re-scored |
| ArseneLupin v1.1 (IBOU-SEARCH, Qwen3.5-4B LoRA) | v1.7 · 10 s rule | 16.55 | 16.55 | -0.00 | 55.09 | 55.09 | 151 → 170 | 89.7 | 89.5 | 0.085 / 0.099 s | 0 of 1500 | re-scored |
| system-one-open (Gemma 4 E2B LoRA on an L4) | v1.7 · 10 s rule | 16.39 | 16.39 | 0.00 | 51.94 | 51.94 | 152 → 171 | 79.3 | 79.2 | 0.514 / 0.587 s | 0 of 600 | re-scored |
| JEV Qwen3.5-9B Base NVFP4 | v1.7 · 10 s rule | 15.98 | 15.97 | -0.01 | 57.14 | 57.14 | 154 → 172 | 93.6 | 93.4 | 0.023 / 0.041 s | 0 of 1500 | re-scored |
| Arbiter-4B (Goddragon, NeoHorse 4B pointer model, author server, self-hosted) | v1.7 · 10 s rule | 15.92 | 15.91 | -0.00 | 52.29 | 52.29 | 155 → 173 | 92.2 | 92.1 | 0.047 / 0.052 s | 0 of 1500 | re-scored |
| Decider-4B (roudone, NeoHorse 4B pointer model, author server, self-hosted) | v1.7 · 10 s rule | 15.74 | 15.74 | -0.00 | 56.82 | 56.82 | 157 → 174 | 92.0 | 91.9 | 0.048 / 0.056 s | 0 of 1500 | re-scored |
| ClassOne Gemma 4 E4B (Gemma-4-E4B backbone with ClassOne decision heads, schema-constrained single forward pass, self-hosted) | v1.7 · 10 s rule | 15.61 | 15.60 | -0.00 | 38.35 | 38.35 | 158 → 175 | 91.8 | 91.7 | 0.039 / 0.074 s | 0 of 1500 | re-scored |
| SemIf, formerly OpenJev (Qwen3.5-4B, TheoLeeCJ) | v1.7 · 10 s rule | 15.52 | 15.51 | -0.01 | 55.35 | 55.35 | 159 → 176 | 90.8 | 90.4 | 0.059 / 0.094 s | 0 of 1500 | re-scored |
| openjev-sglang (Qwen3.6-35B-A3B on SGLang) | v1.7 · 10 s rule | 15.38 | 15.38 | 0.00 | 58.67 | 58.67 | 160 → 177 | 77.7 | 77.7 | 0.635 / 0.675 s | 0 of 600 | re-scored |
| DecisionNode Edge 0.9.2 | v1.7 · 10 s rule | — | 15.33 | — | — | 52.14 | — → 178 | — | 92.9 | 0.031 / 0.046 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| RYOTIDE-Qwen9 | v1.7 · 10 s rule | 16.13 | 14.69 | -1.44 | 53.47 | 52.49 | 153 → 179 | 86.7 | 86.4 | 0.133 / 0.203 s | 21 of 1500 | re-scored |
| ClassOne Qwen 3.5 4B (Qwen3.5-4B backbone with ClassOne decision heads, schema-constrained single forward pass, self-hosted) | v1.7 · 10 s rule | 14.34 | 14.33 | -0.01 | 38.09 | 38.09 | 161 → 180 | 91.5 | 91.0 | 0.048 / 0.085 s | 0 of 1500 | re-scored |
| Jez-large-1.0.0 (pragmaticfrontier, Gemma-4-E4B label-logit decision model, author server, self-hosted) | v1.7 · 10 s rule | — | 13.78 | — | — | 54.39 | — → 181 | — | 90.8 | 0.060 / 0.081 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| RYOTIDE-Qwen (csabag, Qwen3.5-4B stock weights) | v1.7 · 10 s rule | 13.25 | 12.94 | -0.31 | 56.50 | 56.30 | 162 → 182 | 89.1 | 89.0 | 0.097 / 0.107 s | 2 of 1500 | re-scored |
| Chon-1.0-12B | v1.7 · 10 s rule | 64.85 | 12.82 | -52.03 | 85.34 | 42.99 | 49 → 183 | 65.5 | 64.7 | 0.180 / 33.441 s | 540 of 1500 | re-scored |
| Noma (Blackdrome AI Labs, Qwen3.5-4B-Base derivative) | v1.7 · 10 s rule | 12.75 | 12.75 | -0.00 | 54.34 | 54.34 | 163 → 184 | 93.3 | 93.1 | 0.026 / 0.047 s | 0 of 1500 | re-scored |
| KnowLine 35B-A3B-Gen1.5 | v1.7 · 10 s rule | — | 12.43 | — | — | 76.65 | — → 185 | — | 91.7 | 0.048 / 0.062 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| Bev / Bonsai 27B | v1.7 · 10 s rule | 11.74 | 11.74 | -0.00 | 66.14 | 66.14 | 164 → 186 | 73.0 | 72.9 | 0.989 / 1.123 s | 0 of 1500 | re-scored |
| LitJev (Qwen3.8-27B) | v1.7 · 10 s rule | 11.46 | 11.46 | -0.00 | 66.60 | 66.60 | 165 → 187 | 68.2 | 68.1 | 1.498 / 2.405 s | 0 of 1500 | re-scored |
| local-jev Qwen3.5-4B | v1.7 · 10 s rule | 11.44 | 11.43 | -0.01 | 54.99 | 54.99 | 166 → 188 | 86.1 | 85.6 | 0.137 / 0.246 s | 0 of 1500 | re-scored |
| system-one (Qwen3-8B, Sean Goedecke) | v1.7 · 10 s rule | 11.03 | 11.02 | -0.00 | 29.72 | 29.72 | 167 → 189 | 90.9 | 90.5 | 0.053 / 0.098 s | 0 of 1500 | re-scored |
| StartLux-Decision v1.1 27B AutoThink (StartLux Labs, Qwen3.8-27B fine-tune, gate 0.6) | v1.7 · 10 s rule | 10.89 | 10.82 | -0.08 | 80.35 | 78.80 | 168 → 190 | 75.1 | 75.2 | 0.070 / 5.188 s | 12 of 1500 | re-scored |
| kev 8B (research preview) | v1.7 · 10 s rule | 10.62 | 10.61 | -0.01 | 50.01 | 50.01 | 169 → 191 | 89.0 | 88.5 | 0.076 / 0.160 s | 0 of 1500 | re-scored |
| Decision 2B (FlyMy.AI, v59) | v1.7 · 10 s rule | 10.29 | 10.29 | +0.00 | 54.82 | 54.82 | 170 → 192 | 90.4 | 90.4 | 0.075 / 0.077 s | 0 of 1500 | re-scored |
| OpenSourceJev (Qwen3.5-4B Q4_K_M, native llama.cpp) | v1.7 · 10 s rule | 10.26 | 10.24 | -0.03 | 48.57 | 48.57 | 171 → 193 | 77.1 | 75.8 | 0.321 / 1.570 s | 0 of 1500 | re-scored |
| Imajev-9B (mohit67890, Qwen3.5-9B LoRA) | v1.7 · 10 s rule | 9.79 | 9.79 | -0.00 | 62.42 | 62.42 | 172 → 194 | 79.5 | 79.2 | 0.391 / 0.565 s | 0 of 1500 | re-scored |
| open-alternative-jev (Qwen3.5-4B, IkerMoel) | v1.7 · 10 s rule | 9.44 | 9.43 | -0.01 | 49.14 | 49.14 | 173 → 195 | 91.3 | 90.9 | 0.050 / 0.089 s | 0 of 1500 | re-scored |
| Raw Qwen3 8B direct logits | v1.7 · 10 s rule | 9.30 | 9.30 | -0.00 | 30.14 | 30.14 | 174 → 196 | 88.7 | 88.2 | 0.082 / 0.164 s | 0 of 1500 | re-scored |
| Liquid AI d1-3B | v1.7 · 10 s rule | 8.86 | 8.85 | -0.00 | 49.51 | 49.51 | 175 → 197 | 94.3 | 94.1 | 0.017 / 0.031 s | 0 of 1500 | re-scored |
| Krino-2B | v1.7 · 10 s rule | 8.73 | 8.72 | -0.01 | 42.41 | 42.41 | 176 → 198 | 91.9 | 91.0 | 0.032 / 0.112 s | 0 of 1500 | re-scored |
| Imajev-2B (mohit67890, Qwen3.5-2B LoRA) | v1.7 · 10 s rule | 7.93 | 7.92 | -0.00 | 53.97 | 53.97 | 177 → 199 | 81.6 | 81.2 | 0.298 / 0.429 s | 0 of 1500 | re-scored |
| decider-2b (Mapika) | v1.7 · 10 s rule | 7.67 | 7.67 | -0.00 | 44.59 | 44.59 | 178 → 200 | 94.6 | 94.5 | 0.016 / 0.023 s | 0 of 1500 | re-scored |
| Nemotron Diffusion 8B (pst2154, optimized vLLM) | v1.7 · 10 s rule | 7.30 | 7.29 | -0.00 | 47.46 | 47.46 | 179 → 201 | 93.8 | 93.6 | 0.024 / 0.036 s | 0 of 1500 | re-scored |
| DeepSeek V4.1 Flash (thinking default) | v1.7 · 10 s rule | 7.09 | 6.90 | -0.19 | 97.35 | 89.62 | 180 → 202 | 68.1 | 66.0 | 2.205 / 11.414 s | 34 of 600 | re-scored |
| kev 4B (research preview) | v1.7 · 10 s rule | 6.61 | 6.61 | -0.00 | 43.98 | 43.98 | 182 → 203 | 90.5 | 90.2 | 0.072 / 0.086 s | 0 of 1500 | re-scored |
| Clef-omni | v1.7 · 10 s rule | 6.07 | 6.06 | -0.00 | 58.32 | 58.32 | 183 → 204 | 86.8 | 86.6 | 0.147 / 0.173 s | 0 of 1500 | re-scored |
| Kev 27B (Kev 1.0, Qwen3.8-27B) | v1.7 · 10 s rule | 5.77 | 5.76 | -0.01 | 78.94 | 78.94 | 184 → 205 | 83.7 | 82.8 | 0.187 / 0.422 s | 0 of 1500 | re-scored |
| FrontiersMind Lumma-fev-27B | v1.7 · 10 s rule | — | 5.31 | — | — | 72.29 | — → 206 | — | 85.5 | 0.142 / 0.253 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| DecisionNode Edge Mini 0.9.2 | v1.7 · 10 s rule | — | 5.30 | — | — | 47.61 | — → 207 | — | 92.9 | 0.031 / 0.045 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| jiwo 0.8b (Qwen3.5-0.8B backbone with a trained decision head, one forward pass, native probabilities, self-hosted) | v1.7 · 10 s rule | 4.07 | 4.07 | -0.00 | 47.21 | 47.21 | 185 → 208 | 94.3 | 94.3 | 0.020 / 0.022 s | 0 of 1500 | re-scored |
| Malkuth-2B (newfull5, Kev post-train) | v1.7 · 10 s rule | 3.99 | 3.99 | -0.00 | 47.63 | 47.63 | 186 → 209 | 92.0 | 92.0 | 0.044 / 0.059 s | 0 of 1500 | re-scored |
| Qwen3-Reranker-4B | v1.7 · 10 s rule | 3.72 | 3.71 | -0.01 | 44.75 | 44.75 | 187 → 210 | 82.1 | 81.1 | 0.211 / 0.609 s | 0 of 1500 | re-scored |
| SimpleJev Qwen3.8-27B (self-hosted, v1.6 pool) | v1.7 · 10 s rule | 3.39 | 3.39 | -0.00 | 74.89 | 74.89 | 189 → 211 | 76.2 | 76.0 | 0.639 / 0.811 s | 0 of 1500 | re-scored |
| ZeroEntropy zerank-2 | v1.7 · 10 s rule | 3.35 | 3.34 | -0.00 | 49.40 | 49.40 | 190 → 212 | 82.9 | 81.8 | 0.185 / 0.562 s | 0 of 1500 | re-scored |
| EXAONE-4.0-1.2B-JEV v0.3 (unofficial fine-tune of LGAI-EXAONE/EXAONE-4.0-1.2B, native option-label softmax, two reads averaged, self-hosted) | v1.7 · 10 s rule | 3.27 | 3.27 | -0.00 | 47.68 | 47.68 | 191 → 213 | 94.1 | 93.8 | 0.021 / 0.033 s | 0 of 1500 | re-scored |
| Open-Jev 2B (Zefan Cai) | v1.7 · 10 s rule | 3.24 | 3.24 | -0.00 | 47.71 | 47.71 | 192 → 214 | 77.1 | 77.1 | 0.451 / 0.845 s | 0 of 1500 | re-scored |
| SimpleJev Qwen3.8-27B | v1.7 · 10 s rule | 3.22 | 3.22 | 0.00 | 71.60 | 71.60 | 193 → 215 | 76.9 | 76.4 | 0.633 / 0.897 s | 0 of 600 | re-scored |
| Vega 4B | v1.7 · 10 s rule | 3.60 | 3.07 | -0.53 | 37.69 | 36.58 | 188 → 216 | 84.4 | 83.9 | 0.197 / 0.296 s | 29 of 1500 | re-scored |
| Open-Jev 27B v1.1 (Zefan Cai, LoRA + decision head on Qwen3.8-27B) | v1.7 · 10 s rule | 2.88 | 2.88 | -0.00 | 67.96 | 67.96 | 194 → 217 | 72.5 | 72.1 | 0.819 / 1.631 s | 0 of 1500 | re-scored |
| Raw Phi-4 mini direct logits | v1.7 · 10 s rule | 2.48 | 2.48 | -0.00 | 35.34 | 35.34 | 195 → 218 | 91.9 | 91.5 | 0.044 / 0.073 s | 0 of 1500 | re-scored |
| decision-machine-1 (milliseconds.ai) | v1.7 · 10 s rule | 2.35 | 2.35 | 0.00 | 46.13 | 46.13 | 196 → 219 | 93.0 | 92.9 | 0.171 / 0.302 s | 0 of 600 | re-scored |
| SimpleJev (Qwen3.5-0.8B, CPU) | v1.7 · 10 s rule | 2.11 | 1.97 | -0.14 | 31.60 | 31.07 | 197 → 220 | 58.9 | 58.6 | 4.506 / 7.381 s | 14 of 1500 | re-scored |
| JevAct (einptein, jev1-2b-v2) | v1.7 · 10 s rule | 1.11 | 1.11 | 0.00 | 28.77 | 28.77 | 198 → 221 | 76.5 | 76.4 | 0.404 / 1.431 s | 0 of 600 | re-scored |
| smalljev semantic-v9 | v1.7 · 10 s rule | 0.77 | 0.77 | -0.00 | 42.95 | 42.95 | 200 → 222 | 90.2 | 90.1 | 0.067 / 0.096 s | 0 of 1500 | re-scored |
| Gutsy 0.8B v0.3 | v1.7 · 10 s rule | 0.76 | 0.76 | -0.00 | 43.05 | 42.25 | 201 → 223 | 72.9 | 71.6 | 0.876 / 1.758 s | 29 of 1500 | re-scored |
| Vega-U (Qwen3.5-4B reader) | v1.7 · 10 s rule | 0.78 | 0.72 | -0.06 | 44.31 | 42.64 | 199 → 224 | 60.7 | 88.8 | 0.090 / 0.124 s | 15 of 1500 | re-measured on a GPU (replaces the CPU row) |
| PurpleMIST-Mini-1.0 (Olaverse) | v1.7 · 10 s rule | 0.69 | 0.71 | +0.02 | 43.03 | 43.03 | 202 → 225 | 58.7 | 88.5 | 0.076 / 0.156 s | 0 of 1500 | re-measured on a GPU (replaces the CPU row) |
| kev 0.6B (research preview) | v1.7 · 10 s rule | 0.54 | 0.54 | -0.00 | 36.93 | 36.93 | 203 → 226 | 91.5 | 91.5 | 0.057 / 0.060 s | 0 of 1500 | re-scored |
| jul fast (usejul/jul-decision-minicpm5-2b: MiniCPM5-2B fine-tune with a pointer head, option probabilities from one pass, self-hosted via `jul serve`) | v1.7 · 10 s rule | 0.52 | 0.52 | -0.00 | 42.76 | 42.63 | 204 → 227 | 90.7 | 90.6 | 0.044 / 0.110 s | 5 of 1500 | re-scored |
| OpenDecision (ModernBERT-large zero-shot) | v1.7 · 10 s rule | 0.51 | 0.51 | -0.00 | 38.00 | 38.00 | 205 → 228 | 87.1 | 86.4 | 0.093 / 0.270 s | 0 of 1500 | re-scored |
| ClassOne Gemma 4 E2B (Gemma-4-E2B backbone with ClassOne decision heads, schema-constrained single forward pass, self-hosted) | v1.7 · 10 s rule | 0.49 | 0.49 | -0.00 | 15.21 | 15.21 | 206 → 229 | 93.3 | 93.1 | 0.029 / 0.043 s | 0 of 1500 | re-scored |
| Fastino GLiNER-2.5-Decide (hosted API) | v1.7 · 10 s rule | 0.34 | 0.34 | +0.00 | 34.57 | 34.57 | 208 → 230 | 84.7 | 85.0 | 0.420 / 0.755 s | 0 of 1500 | re-scored |
| Deem 0.8B v1 | v1.7 · 10 s rule | 0.32 | 0.32 | -0.00 | 18.08 | 18.08 | 209 → 231 | 85.4 | 84.8 | 0.164 / 0.268 s | 0 of 1500 | re-scored |
| Decision Fast (FlyMy.AI, v53a) | v1.7 · 10 s rule | 0.30 | 0.30 | +0.00 | 40.59 | 40.59 | 210 → 232 | 91.5 | 91.5 | 0.058 / 0.059 s | 0 of 1500 | re-scored |
| Quyet-1.0-Small-EN (Chinh Nguyen, ModernBERT-base encoder with fixed heads) | v1.7 · 10 s rule | 0.29 | 0.29 | -0.00 | 39.54 | 39.54 | 211 → 233 | 94.9 | 94.9 | 0.015 / 0.015 s | 0 of 1500 | re-scored |
| ClassOne Qwen 3.5 2B (Qwen3.5-2B backbone with ClassOne decision heads, schema-constrained single forward pass, self-hosted) | v1.7 · 10 s rule | 0.24 | 0.24 | -0.00 | 19.22 | 19.22 | 212 → 234 | 93.1 | 92.9 | 0.031 / 0.045 s | 0 of 1500 | re-scored |
| Laya typed-decisions | v1.7 · 10 s rule | 0.22 | 0.22 | -0.00 | 44.22 | 44.22 | 214 → 235 | 70.8 | 69.3 | 1.002 / 2.628 s | 0 of 1500 | re-scored |
| Vega-U (Qwen3.5-0.8B reader) | v1.7 · 10 s rule | 0.22 | 0.20 | -0.02 | 36.52 | 36.14 | 213 → 236 | 73.8 | 73.1 | 0.730 / 1.461 s | 15 of 1500 | re-scored |
| WaterSheep (Samrat Dutta, ModernBERT-base encoder with calibrated heads, served by the author's own `watersheep --serve`) | v1.7 · 10 s rule | 0.19 | 0.19 | -0.00 | 35.57 | 35.54 | 215 → 237 | 77.6 | 77.4 | 0.463 / 0.773 s | 1 of 1500 | re-scored |
| openJev Verdict 1.4 | v1.7 · 10 s rule | 0.17 | 0.17 | -0.00 | 40.37 | 40.37 | 216 → 238 | 81.5 | 80.9 | 0.335 / 0.416 s | 0 of 1500 | re-scored |
| Raw Qwen3 0.6B direct logits | v1.7 · 10 s rule | 0.17 | 0.17 | -0.00 | 8.25 | 8.25 | 217 → 239 | 93.5 | 93.4 | 0.029 / 0.034 s | 0 of 1500 | re-scored |
| lev-350m (Franck Verrot, LFM2.5-350M) | v1.7 · 10 s rule | 0.15 | 0.15 | -0.00 | 43.35 | 43.35 | 218 → 240 | 94.0 | 93.8 | 0.022 / 0.033 s | 0 of 1500 | re-scored |
| Raw Qwen3 1.7B direct logits | v1.7 · 10 s rule | 0.14 | 0.14 | -0.00 | 8.32 | 8.32 | 219 → 241 | 93.2 | 93.1 | 0.032 / 0.039 s | 0 of 1500 | re-scored |
| kev 0.5B | v1.7 · 10 s rule | 0.13 | 0.13 | -0.00 | 32.90 | 32.90 | 220 → 242 | 92.4 | 92.4 | 0.044 / 0.046 s | 0 of 1500 | re-scored |
| Jez-small-1.0.0 (pragmaticfrontier, Qwen3.5-0.8B label-logit decision model, author server, self-hosted) | v1.7 · 10 s rule | — | 0.13 | — | — | 43.23 | — → 243 | — | 92.5 | 0.043 / 0.044 s | 0 of 1500 | new in v1.7.0 (no v1.6 value) |
| openJev Verdict (heman10x, ModernBERT-base 151M) | v1.7 · 10 s rule | 0.10 | 0.10 | -0.00 | 26.63 | 26.63 | 221 → 244 | 79.4 | 78.5 | 0.321 / 0.828 s | 0 of 1500 | re-scored |
| Quyet-1.0-Small (Chinh Nguyen, SEA-LION-ModernBERT-300M encoder with fixed heads) | v1.7 · 10 s rule | 0.09 | 0.09 | -0.00 | 32.49 | 32.49 | 222 → 245 | 94.9 | 94.9 | 0.015 / 0.015 s | 0 of 1500 | re-scored |
| watt-flash-0.1 (Zaitgeist Labs, 140M mmBERT-small encoder with an option-marker scorer, one forward pass per request, self-hosted) | v1.7 · 10 s rule | 0.07 | 0.07 | -0.00 | 41.57 | 41.57 | 223 → 246 | 75.8 | 73.8 | 0.491 / 1.755 s | 0 of 1500 | re-scored |
| Quyet-1.0-Tiny (Chinh Nguyen, mmBERT-small encoder (16 layers kept) with fixed heads) | v1.7 · 10 s rule | 0.07 | 0.07 | -0.00 | 31.08 | 31.08 | 224 → 247 | 95.1 | 95.1 | 0.013 / 0.013 s | 0 of 1500 | re-scored |
| Phocinae-Largha-150M-v1 | v1.7 · 10 s rule | 0.07 | 0.07 | -0.00 | 30.24 | 30.24 | 225 → 248 | 77.1 | 76.5 | 0.484 / 0.924 s | 0 of 1500 | re-scored |
| Liquid AI d1-omni-600M | v1.7 · 10 s rule | 0.05 | 0.05 | -0.00 | 32.79 | 32.79 | 226 → 249 | 94.1 | 94.0 | 0.022 / 0.028 s | 0 of 1500 | re-scored |
| Vega 0.8B | v1.7 · 10 s rule | 0.04 | 0.04 | -0.00 | 32.99 | 32.99 | 227 → 250 | 89.5 | 89.2 | 0.087 / 0.112 s | 0 of 1500 | re-scored |
| open-jev-deberta-v3-large (local CPU) | v1.7 · 10 s rule | 0.03 | 0.03 | -0.00 | 35.40 | 35.40 | 228 → 251 | 67.6 | 67.3 | 1.685 / 2.558 s | 0 of 1500 | re-scored |
| Julia-1 (Supersonic Labs) | v1.7 · 10 s rule | 0.02 | 0.02 | -0.00 | 9.85 | 9.85 | 230 → 252 | 79.4 | 77.7 | 0.333 / 0.955 s | 0 of 1500 | re-scored |
| verdict-small (Manavarya09, multilingual-e5-small 118M) | v1.7 · 10 s rule | 0.02 | 0.02 | -0.00 | 37.63 | 37.63 | 231 → 253 | 89.5 | 88.7 | 0.065 / 0.163 s | 0 of 1500 | re-scored |
| Tacet Sonata (CodePawl, 144M packed encoder on mmBERT-small, option-marker softmax in one pass, in-process via the author's tacet package) | v1.7 · 10 s rule | 0.02 | 0.02 | -0.00 | 24.31 | 24.24 | 232 → 254 | 80.3 | 79.2 | 0.265 / 0.816 s | 3 of 1500 | re-scored |
| Laya (Convai Innovations, ModernBERT-large 421M) | v1.7 · 10 s rule | 0.01 | 0.01 | -0.00 | 32.51 | 32.51 | 233 → 255 | 73.3 | 72.7 | 0.932 / 1.244 s | 0 of 1500 | re-scored |
| Mixedbread mxbai-rerank-base-v2 | v1.7 · 10 s rule | 0.00 | 0.00 | -0.00 | 43.87 | 43.87 | 234 → 256 | 92.6 | 92.1 | 0.032 / 0.070 s | 0 of 1500 | re-scored |
| Laya multilingual | v1.7 · 10 s rule | 0.00 | 0.00 | -0.00 | 16.97 | 16.97 | 235 → 257 | 77.8 | 77.0 | 0.402 / 0.983 s | 0 of 1500 | re-scored |
| Certo v1 (AltSlate Labs) | v1.7 · 10 s rule | 0.00 | 0.00 | -0.00 | 43.17 | 43.17 | 236 → 258 | 92.5 | 92.4 | 0.042 / 0.046 s | 0 of 1500 | re-scored |
| CLM-8B (Contrastive-LM, clm-latest) | v1.7 · 10 s rule | 0.00 | 0.00 | -0.00 | 20.09 | 20.08 | 237 → 259 | 92.6 | 91.7 | 0.037 / 0.076 s | 1 of 1500 | re-scored |
| BAAI bge-reranker-v2-m3 | v1.7 · 10 s rule | 0.00 | 0.00 | -0.00 | 44.08 | 44.08 | 238 → 260 | 93.9 | 93.6 | 0.018 / 0.043 s | 0 of 1500 | re-scored |
| Alibaba GTE Reranker ModernBERT-base | v1.7 · 10 s rule | 0.00 | 0.00 | 0.00 | 41.73 | 41.73 | 239 → 261 | 93.8 | 93.5 | 0.025 / 0.037 s | 0 of 1500 | re-scored |
| Mirror | v1.7 · 10 s rule | 0.00 | 0.00 | 0.00 | 25.81 | 25.81 | 240 → 262 | 73.5 | 74.0 | 0.561 / 1.476 s | 0 of 1500 | re-scored |
| Open Jev JSON Canvas (JoshuaSP) | v1.7 · 10 s rule | 0.00 | 0.00 | 0.00 | 30.60 | 30.60 | 241 → 263 | 85.5 | 85.2 | 0.159 / 0.246 s | 0 of 1500 | re-scored |
| Qwen3.8 27B (Chutes TEE) | v1.7 · 10 s rule | 0.00 | 0.00 | 0.00 | 98.19 | 48.59 | 242 → 264 | 57.4 | 55.0 | 8.350 / 37.933 s | 233 of 600 | re-scored |
| APUS-OpenJev-v1-35B-A3B (merged bf16 checkpoint-5949 MoE on Qwen3.5-35B-A3B, their own native runtime, full depth, self-hosted) | v1.7 · 10 s rule | — | — | — | 60.36 | 60.36 | — → — | 80.5 | 80.3 | 0.360 / 0.457 s | 0 of 1500 | re-scored |
| BB-Qwen3.5-4B-LoRA (Babak Barazandeh, LoRA on Qwen3.5-4B-Base, hosted /v1/systemone) | v1.7 · 10 s rule | — | — | — | 60.41 | 60.41 | — → — | 81.6 | 80.9 | 0.717 / 1.131 s | 0 of 1500 | re-scored |
| Bongard-mini (AgentBull, T5Gemma-2 4B-4B) | v1.7 · 10 s rule | — | — | — | 54.79 | 54.79 | — → — | 90.6 | 90.5 | 0.070 / 0.080 s | 0 of 1500 | re-scored |
| classifier.dev (fast tier) | v1.7 · 10 s rule | 71.62 | 71.35 | -0.27 | 78.25 | 78.25 | — → — | 79.5 | 78.2 | 0.980 / 1.542 s | 0 of 600 | re-scored |
| jevora-9b-v1 (kadirbekovvv / doxanocap, Qwen3.5-9B-Base derivative) | v1.7 · 10 s rule | — | — | — | 37.00 | 36.92 | — → — | 90.6 | 90.4 | 0.065 / 0.088 s | 1 of 1500 | re-scored |
| Kev-9B v2 (Jared Palmer, Qwen3.5-9B-Base LoRA + pointer head) | v1.7 · 10 s rule | — | — | — | 61.50 | 61.50 | — → — | 89.2 | 89.0 | 0.054 / 0.167 s | 0 of 1500 | re-scored |
| metask-jev-rain-12B | v1.7 · 10 s rule | 68.66 | 68.50 | -0.16 | 78.30 | 78.30 | — → — | 76.0 | 75.2 | 0.101 / 4.218 s | 0 of 1500 | re-scored |
| Microsoft-Decision-1 (Azure Foundry) — A2 re-run | v1.7 · 10 s rule | 71.45 | 71.40 | -0.06 | 72.19 | 72.03 | — → — | 88.7 | 88.7 | 0.338 / 0.402 s | 0 of 600 | re-scored |
| Nagi-HUGE 12B (nagisanzenin, Gemma-4-12B LoRA) | v1.7 · 10 s rule | — | — | — | 64.04 | 64.04 | — → — | 88.6 | 88.4 | 0.100 / 0.132 s | 0 of 1500 | re-scored |
| Nemotron Deciffusion 8B v2 (pst2154) | v1.7 · 10 s rule | — | — | — | 69.32 | 69.32 | — → — | 87.7 | 87.4 | 0.105 / 0.180 s | 0 of 1500 | re-scored |
| PurpleMIST-Flash-1.0 (Olaverse) | v1.7 · 10 s rule | — | — | — | 60.11 | 60.11 | — → — | 88.3 | 87.7 | 0.090 / 0.181 s | 0 of 1500 | re-scored |
| RYOTIDE-Gemma (csabag, Gemma-4-E4B stock weights) | v1.7 · 10 s rule | — | — | — | 55.21 | 54.52 | — → — | 89.2 | 89.1 | 0.095 / 0.107 s | 15 of 1500 | re-scored |
| TDE general large v0.1 (tdelab, ModernBERT-large encoder) | v1.7 · 10 s rule | — | — | — | 30.85 | 30.85 | — → — | 93.9 | 93.9 | 0.020 / 0.031 s | 0 of 1500 | re-scored |
| Trio-Spark v1.3 (MachineFi) | v1.7 · 10 s rule | — | — | — | 57.03 | 57.03 | — → — | 76.5 | 76.2 | 1.310 / 1.840 s | 0 of 1500 | re-scored |
| wity-1 (Wity, reasoning always) | v1.7 · 10 s rule | 70.56 | 69.00 | -1.56 | 79.25 | 77.13 | — → — | 71.2 | 68.5 | 1.907 / 7.387 s | 36 of 1500 | re-scored |
| wity-1 (Wity, reasoning off) | v1.7 · 10 s rule | 49.37 | 49.18 | -0.19 | 62.97 | 62.97 | — → — | 89.6 | 87.6 | 0.345 / 0.502 s | 0 of 1500 | re-scored |
| Chon-1.0-E4B | v1.6 · re-measure pending | 45.93 | — | — | 68.39 | — | 69 → — | 44.0 | — | — | — | re-measure pending under the 10 s rule |
| modernbert-jev v2 | v1.6 · re-measure pending | 0.03 | — | — | 34.65 | — | 229 → — | 57.8 | — | — | — | re-measure pending under the 10 s rule |
| Nev-2B (EryriLabs) | v1.6 · re-measure pending | 6.94 | — | — | 49.92 | — | 181 → — | 54.8 | — | — | — | re-measure pending under the 10 s rule |
| Qwen3.5-0.8B Decision Model (Mourad Ghafiri) | v1.6 · re-measure pending | 0.47 | — | — | 42.63 | — | 207 → — | 55.9 | — | — | — | re-measure pending under the 10 s rule |
| Reflex Instinct 0.6B (Atlas AI) | v1.6 · re-measure pending | 0.08 | — | — | 38.56 | — | — → — | 59.0 | — | — | — | re-measure pending under the 10 s rule |
| AutoJev-27B (RTX PRO 6000) | v1.5 | 19.48 | — | — | 79.72 | — | — → — | — | — | — | — | carried (v1.5) |
| Surogate Rune 26B-A4B v3 (RTX PRO 6000) | v1.5 | 66.47 | — | — | 79.02 | — | — → — | — | — | — | — | carried (v1.5) |
| reflex-27b (Qwen3.8-27B) | v1.5 | 13.19 | — | — | 74.36 | — | — → — | — | — | — | — | carried (v1.5) |
| NInfer Qwen3.8-27B NVFP4 (T=1.5) | v1.5 | 18.48 | — | — | 73.79 | — | — → — | — | — | — | — | carried (v1.5) |
| jeff (Logan Markewich, GLiFormer 400M) | v1.5 | 0.12 | — | — | 42.35 | — | — → — | — | — | — | — | carried (v1.5) |
| Von (wfzyx, Option-Marker 395M) | v1.5 | 0.00 | — | — | 41.74 | — | — → — | — | — | — | — | carried (v1.5) |
| Bosun v3.1 0.6B | v1.5 | 2.50 | — | — | 39.37 | — | — → — | — | — | — | — | carried (v1.5) |
| GLiNER2.5 multi (Fastino, 287M) | v1.5 | 2.72 | — | — | 35.98 | — | — → — | — | — | — | — | carried (v1.5) |
| GLiNER2.5 small (Fastino, 74M) | v1.5 | 0.89 | — | — | 32.55 | — | — → — | — | — | — | — | carried (v1.5) |
| GLiNER2 large (Fastino) | v1.5 | 8.40 | — | — | 32.44 | — | — → — | — | — | — | — | carried (v1.5) |
| GLiNER2 (Fastino, gliner2.5-base) | v1.5 | 2.27 | — | — | 24.52 | — | — → — | — | — | — | — | carried (v1.5) |
| Needle 3 (Cactus, 2-bit, local CPU) | v1.5 | 0.00 | — | — | 0.00 | — | — → — | — | — | — | — | carried (v1.5) |
| Needle 3, options as tools (post-hoc adapter mode) | v1.5 | 0.00 | — | — | 0.00 | — | — → — | — | — | — | — | carried (v1.5) |
| Drex v1.5 | v1.5 | 72.24 | — | — | 74.16 | — | — → — | — | — | — | — | carried (v1.5) |
Historical v1.3.0 board: weightings, per-task grid, topic radars and held-out diagnostics
Open this section to load the earlier public-only board and diagnostics.