JevBench v1.7.0 · method v1.7 (10 s rule)

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”.

JevBench v1.6.43 values next to the v1.7.0 values
SystemMethodA v1.6.43A v1.7.0Δ ACapability v1.6.43Capability v1.7.0Rank old → newSpeed v1.6.43Speed v1.7.0p50 / p95 (measured)Over 10 sStatus
Super Deciderv1.7 · 10 s rule—78.48——84.87— → 1—85.30.246 / 1.197 s11 of 1500new in v1.7.0 (no v1.6 value)
kettei-fat (Sqwish)v1.7 · 10 s rule77.7477.69-0.0586.3186.311 → 293.292.90.202 / 0.253 s0 of 1500re-scored
Fastino GLiDE (hosted API, 22 Oct 2026)v1.7 · 10 s rule76.6176.44-0.1784.7084.462 → 387.387.00.357 / 0.558 s2 of 1497re-scored
Torchcast Decision 4B (v1.3)v1.7 · 10 s rule76.1976.16-0.0377.5077.503 → 492.692.40.034 / 0.056 s0 of 1500re-scored
d1-ultra (Liquid AI)v1.7 · 10 s rule76.0676.05-0.0180.4880.484 → 589.088.90.231 / 0.553 s0 of 1500re-scored
SubQ Snap 1.1 (SubQ)v1.7 · 10 s rule75.7575.74-0.0181.9181.915 → 684.984.90.469 / 0.690 s0 of 1500re-scored
Drex Max (Nace AI)v1.7 · 10 s rule75.4175.38-0.0384.2384.237 → 789.889.60.254 / 0.428 s0 of 1500re-scored
Bespoke Nimble-v4-max (Bespoke Labs)v1.7 · 10 s rule75.4474.82-0.6279.7279.726 → 891.587.90.257 / 0.626 s0 of 1500re-scored
Super Decider (thinking)v1.7 · 10 s rule—74.54——85.85— → 9—79.80.888 / 1.171 s4 of 1500new in v1.7.0 (no v1.6 value)
SubQ Snap (preview, SubQ)v1.7 · 10 s rule74.3974.38-0.0181.4781.478 → 1086.486.40.466 / 0.496 s0 of 1500re-scored
H2O-Lightning-4B v1.1 (H2O.ai, Qwen3.5-4B fine-tune, stock vLLM + open shim)v1.7 · 10 s rule73.8273.78-0.0475.0075.0010 → 1192.692.40.031 / 0.061 s0 of 1500re-scored
Sage 1.3.0 (Levanto Labs)v1.7 · 10 s rule74.0573.73-0.3278.6078.609 → 1293.691.60.171 / 0.405 s0 of 1500re-scored
kettei-chub (Sqwish)v1.7 · 10 s rule73.4873.45-0.0373.1473.1411 → 1395.194.90.168 / 0.193 s0 of 1500re-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 rule73.4473.07-0.3785.1784.3412 → 1489.889.50.065 / 0.126 s15 of 1500re-scored
Torchcast Decision 4B (v1.2)v1.7 · 10 s rule73.0373.00-0.0472.6172.6114 → 1591.190.90.063 / 0.073 s0 of 1500re-scored
d1 (Liquid AI)v1.7 · 10 s rule73.0572.82-0.2374.4274.4213 → 1689.287.90.269 / 0.609 s0 of 1500re-scored
Mercury Decide (Inception; System One decisions API, served free on OpenRouter as inception/mercury-decide:free)v1.7 · 10 s rule72.3772.25-0.1273.6373.6315 → 1785.584.80.344 / 0.959 s0 of 1500re-scored
decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted)v1.7 · 10 s rule71.6971.68-0.0179.5779.5716 → 1891.291.10.047 / 0.083 s0 of 1500re-scored
basal-omni-1.0-ultra (Remek Kinas, Gemma-4-31B-it + merged LoRA, typed-decision readout, self-hosted)v1.7 · 10 s rule71.6971.45-0.2482.5482.1317 → 1987.386.60.108 / 0.222 s15 of 1500re-scored
Jev 1.13.0 (TypeSafe AI)v1.7 · 10 s rule71.4971.45-0.0477.1377.1318 → 2091.591.20.243 / 0.311 s0 of 1500re-scored
Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits)v1.7 · 10 s rule71.3971.30-0.0981.6981.6919 → 2186.986.40.122 / 0.218 s0 of 1500re-scored
Celeris-1 Decision (Celeris)v1.7 · 10 s rule70.9770.96-0.0173.6273.6220 → 2287.086.90.433 / 0.469 s0 of 1500re-scored
Torchcast Decision 4B (v1.1)v1.7 · 10 s rule70.6870.67-0.0168.6668.6623 → 2393.693.50.022 / 0.039 s0 of 1500re-scored
Myles-G 31B (Launchables)v1.7 · 10 s rule70.6870.57-0.1178.8278.8224 → 2486.685.90.445 / 0.571 s0 of 1500re-scored
Arcbright Elf 1 31Bv1.7 · 10 s rule—70.51——81.79— → 25—89.90.062 / 0.114 s0 of 1500new in v1.7.0 (no v1.6 value)
decider-12b v2 (Mapika)v1.7 · 10 s rule70.8870.30-0.5872.5071.3521 → 2690.590.50.054 / 0.099 s23 of 1500re-scored
Xevn-4Bv1.7 · 10 s rule—70.18——68.64— → 27—91.60.041 / 0.072 s0 of 1500new in v1.7.0 (no v1.6 value)
Jev 1.14.0 (TypeSafe AI)v1.7 · 10 s rule70.1570.15+0.0075.0175.0126 → 2891.091.00.227 / 0.352 s0 of 1500re-scored
torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout)v1.7 · 10 s rule69.9169.85-0.0671.7471.7427 → 2991.791.30.045 / 0.078 s0 of 1500re-scored
decider-12b v1, stock Gemma-4-12B-it (Mapika)v1.7 · 10 s rule70.4269.84-0.5972.2071.0425 → 3090.590.40.054 / 0.100 s23 of 1500re-scored
metask-jev-rain-31B-trainedv1.7 · 10 s rule69.7469.59-0.1578.9178.9128 → 3183.282.30.233 / 0.399 s0 of 1500re-scored
vLLM-SR d3-miniv1.7 · 10 s rule—69.52——68.77— → 32—93.10.028 / 0.045 s15 of 1500new in v1.7.0 (no v1.6 value)
Bobcat 1.3 (Gemma 4 31B)v1.7 · 10 s rule—69.38——77.86— → 33—89.30.069 / 0.129 s15 of 1500new in v1.7.0 (no v1.6 value)
Microsoft-Decision-1 (Azure Foundry)v1.7 · 10 s rule69.1169.08-0.0370.7870.7829 → 3481.581.40.479 / 1.518 s0 of 1500re-scored
wity-1 (Wity, reasoning auto)v1.7 · 10 s rule70.7768.96-1.8079.1276.9122 → 3571.868.31.847 / 7.970 s36 of 1500re-scored
Winnow-12B Q8v1.7 · 10 s rule68.8968.80-0.0871.2571.2530 → 3686.786.20.124 / 0.229 s0 of 1500re-scored
deck-31B (krishna765, frozen Gemma-4-31B-it, TorchAO FP8 dynamic)v1.7 · 10 s rule68.6868.63-0.0577.5977.5931 → 3786.786.40.130 / 0.205 s0 of 1500re-scored
Jeff-1.0-Largev1.7 · 10 s rule68.5968.54-0.0581.5081.5032 → 3888.888.50.084 / 0.149 s0 of 1500re-scored
Cygnet (blockbrain, frozen Gemma-4-12B-it)v1.7 · 10 s rule68.5568.49-0.0670.9070.9033 → 3991.891.40.045 / 0.077 s0 of 1500re-scored
Myles-G 12B (Launchables)v1.7 · 10 s rule68.4168.35-0.0670.6570.6534 → 4085.685.30.484 / 0.611 s0 of 1500re-scored
Wald 26B-A4B (Gemma 4 26B-A4B)v1.7 · 10 s rule—68.21——76.78— → 41—92.00.043 / 0.058 s0 of 1500new 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 rule68.1768.07-0.1070.7470.7436 → 4287.086.30.116 / 0.231 s0 of 1500re-scored
attest-31B-v1.0v1.7 · 10 s rule67.9467.86-0.0869.5469.5438 → 4397.196.50.110 / 0.204 s0 of 1500re-scored
Sage 1.4 (Levanto Labs)v1.7 · 10 s rule68.4067.70-0.7074.7773.3135 → 4468.868.91.705 / 7.557 s15 of 1500re-scored
decisio v0.9.0 on gemma-4-12B-it (frozen, one prefill per question, self-hosted)v1.7 · 10 s rule67.7667.67-0.0969.9569.9539 → 4585.985.30.144 / 0.264 s0 of 1500re-scored
Jev-Omni (akhilaaa3, Gemma-4-12B merged)v1.7 · 10 s rule67.7567.64-0.1171.2971.2940 → 4685.484.70.162 / 0.280 s0 of 1500re-scored
metask-jev-rain-12B-trainedv1.7 · 10 s rule68.1067.33-0.7877.8776.8937 → 4773.471.80.129 / 8.054 s12 of 1500re-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 rule67.3467.14-0.2073.4973.0543 → 4890.890.60.062 / 0.084 s13 of 1500re-scored
Xor 26B-A4B (Juspay, Gemma-4-26B-A4B, bf16)v1.7 · 10 s rule67.3866.77-0.6272.4171.1942 → 4991.090.80.060 / 0.077 s23 of 1500re-scored
SPX-CD Flash (SurdAI, hosted /v1/systemone, Oct-4 checkpoint)v1.7 · 10 s rule66.6866.64-0.0474.3274.3244 → 5079.479.21.015 / 1.188 s0 of 1500re-scored
Messier One v0.4 (Qwen3.5-4B fine-tune, self-hosted)v1.7 · 10 s rule66.1666.13-0.0362.4462.4445 → 5189.789.40.069 / 0.123 s0 of 1500re-scored
decider chat on Gemma-4-31B-it (Mapika, frozen base, inference technique)v1.7 · 10 s rule66.0866.03-0.0570.5870.4546 → 5285.885.80.126 / 0.255 s7 of 1500re-scored
Hopper 12B trained (gemma-4-12B-it frozen + LoRA r32 unmerged, one forward pass, self-hosted)v1.7 · 10 s rule65.7865.64-0.1468.1568.1547 → 5384.683.60.183 / 0.344 s0 of 1500re-scored
metask-jev-rain-31B-trained service v3v1.7 · 10 s rule67.6665.56-2.1079.6079.6041 → 5484.773.30.185 / 4.455 s0 of 1500re-scored
Surogate Rune 26B-A4B v3 (v1.6 pool)v1.7 · 10 s rule65.0564.99-0.0673.4773.4748 → 5587.086.50.117 / 0.214 s0 of 1500re-scored
GEV-26B-Decide (AutoTrust, Gemma-4-26B-A4B + LoRA + head)v1.7 · 10 s rule64.2264.19-0.0370.0870.0850 → 5689.989.60.054 / 0.136 s0 of 1500re-scored
SPX-CD-Omni (SurdAI, google/gemma-4-12B-it + LoRA r32, one forward pass, self-hosted)v1.7 · 10 s rule63.1663.11-0.0568.1368.1351 → 5789.489.10.075 / 0.132 s0 of 1500re-scored
Metask rain 4Bv1.7 · 10 s rule62.7062.51-0.1965.9965.9952 → 5879.678.40.083 / 2.216 s0 of 1500re-scored
shisa-de-1 (shisa-ai, Gemma-4-26B-A4B)v1.7 · 10 s rule62.4362.42-0.0065.5565.5354 → 5992.892.70.032 / 0.051 s1 of 1500re-scored
OpenAI Decisions (gpt-6-luna)v1.7 · 10 s rule62.5062.37-0.1373.5073.5053 → 6089.388.30.305 / 0.484 s0 of 600re-scored
Instinct (ZooWork, Qwen3.8-27B)v1.7 · 10 s rule62.2462.23-0.0170.4770.4755 → 6187.287.10.296 / 0.653 s0 of 600re-scored
Blink v0.3 26B-A4Bv1.7 · 10 s rule61.1661.12-0.0469.9569.9557 → 6291.591.10.052 / 0.076 s0 of 1500re-scored
HS1 0.1.2 (Hyland)v1.7 · 10 s rule61.4561.07-0.3865.0464.3556 → 6393.793.50.199 / 0.224 s15 of 1500re-scored
baselabs elephant-1 (9B)v1.7 · 10 s rule—60.91——70.25— → 64—89.70.075 / 0.102 s0 of 1500new 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 rule59.3359.27-0.0658.0958.0958 → 6586.886.30.131 / 0.210 s0 of 1500re-scored
René-1 31B FP8 (salfatigroup, Gemma 4 31B full fine-tune, one-pass option readout)v1.7 · 10 s rule55.8555.80-0.0575.9575.9560 → 6687.186.70.113 / 0.206 s0 of 1500re-scored
Wald 4B v2.1v1.7 · 10 s rule54.2954.26-0.0369.2769.2762 → 6793.192.80.029 / 0.052 s0 of 1500re-scored
pplx-decider-flash-v1.2 (Perplexity, Qwen3.5-4B full fine-tune, marker readout, self-hosted)v1.7 · 10 s rule56.6054.01-2.6062.5161.7459 → 6891.891.50.044 / 0.075 s15 of 1500re-scored
Bespoke Nimble 9B v3 (Qwen3.5-9B LoRA)v1.7 · 10 s rule53.4853.46-0.0266.7966.7963 → 6989.289.00.095 / 0.111 s0 of 1500re-scored
Aplomb 1 (5.3B decision model on Qwen3.5-4B, trained readout head, self-hosted)v1.7 · 10 s rule54.5652.89-1.6767.5267.0961 → 7088.988.80.093 / 0.124 s5 of 1500re-scored
Respan Span-02v1.7 · 10 s rule51.4551.49+0.0469.3469.3464 → 7185.385.70.031 / 0.559 s0 of 1500re-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—92.00.035 / 0.069 s0 of 1500new 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 rule49.1849.17-0.0156.9156.9165 → 7382.282.10.282 / 0.361 s0 of 1500re-scored
Arcbright Elf 1 12Bv1.7 · 10 s rule48.8148.77-0.0364.9664.9666 → 7492.091.60.042 / 0.072 s0 of 1500re-scored
Jeffan-31b-1710v1.7 · 10 s rule—48.72——81.68— → 75—84.70.123 / 0.359 s15 of 1500new in v1.7.0 (no v1.6 value)
Plumb-4B (crh225, JevK5 v0.2 + LoRA)v1.7 · 10 s rule48.2847.93-0.3665.4265.3267 → 7693.893.70.021 / 0.036 s2 of 1500re-scored
SPX-CD Pro (SurdAI, hosted /v1/systemone, Oct-4 checkpoint)v1.7 · 10 s rule47.6747.55-0.1278.6478.4868 → 7778.077.41.145 / 1.576 s1 of 1500re-scored
Messier One v0.2 (Qwen3.5-4B fine-tune, one prefill, self-hosted)v1.7 · 10 s rule45.2945.28-0.0158.1358.1370 → 7892.792.60.029 / 0.058 s0 of 1500re-scored
spark-s1-4b-v6 (Open Spark Jev, abhishek085)v1.7 · 10 s rule44.9044.85-0.0654.0254.0271 → 7987.086.30.129 / 0.209 s0 of 1500re-scored
KnowLine 31B-Gen1v1.7 · 10 s rule—44.38——85.21— → 80—81.40.255 / 0.469 s15 of 1500new in v1.7.0 (no v1.6 value)
swanOne (blockbrain, Qwen3.8-Flash-Next NVFP4)v1.7 · 10 s rule43.7943.79+0.0072.3772.3772 → 8182.682.70.280 / 0.307 s0 of 1500re-scored
AJev lm6q (Gemma 4 31B)v1.7 · 10 s rule—43.72——81.40— → 82—82.50.213 / 0.418 s0 of 1500new 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 rule43.5943.56-0.0359.2559.2573 → 8389.589.10.082 / 0.119 s0 of 1500re-scored
Bespoke Nimble-v4 (Bespoke Labs)v1.7 · 10 s rule43.2243.23+0.0164.0264.0274 → 8488.488.50.232 / 0.604 s0 of 1500re-scored
Vansa-3.4 (Vansa, hosted System One API)v1.7 · 10 s rule42.6042.57-0.0363.6863.6875 → 8595.595.00.158 / 0.198 s0 of 600re-scored
JPT-4B (kirp, Qwen3.5-4B LoRA)v1.7 · 10 s rule42.1842.17-0.0163.8263.8276 → 8688.087.80.066 / 0.219 s0 of 1500re-scored
lev (Interfaze AI, Qwen3.5-4B + LoRA r32, label-token readout + candidate-path head, per-bucket temperatures)v1.7 · 10 s rule42.1842.14-0.0461.7061.7077 → 8788.087.50.105 / 0.170 s0 of 1500re-scored
NInfer Qwen3.8-Flash-Next mixedv1.7 · 10 s rule41.9741.94-0.0269.6869.6878 → 8889.389.00.084 / 0.121 s0 of 1500re-scored
decider-4b v2 (Mapika)v1.7 · 10 s rule41.2441.12-0.1264.8864.8880 → 8991.890.30.028 / 0.150 s0 of 1500re-scored
baselabs mammoth-1 (27B)v1.7 · 10 s rule—41.08——85.23— → 90—84.40.188 / 0.270 s0 of 1500new in v1.7.0 (no v1.6 value)
Jeffan-4B-2010v1.7 · 10 s rule—41.06——64.00— → 91—93.00.028 / 0.045 s0 of 1500new in v1.7.0 (no v1.6 value)
jev-local (Qwen3.5-9B)v1.7 · 10 s rule41.3341.04-0.2957.4657.4679 → 9275.672.90.471 / 2.275 s0 of 1500re-scored
GPT-6 Luna (low reasoning effort)v1.7 · 10 s rule40.4840.39-0.0997.8297.0781 → 9371.771.81.896 / 3.465 s3 of 600re-scored
Autoloops – Gemma 4 31B ITv1.7 · 10 s rule40.1840.17-0.0172.7072.7082 → 9484.584.40.584 / 0.616 s0 of 600re-scored
Wald 4Bv1.7 · 10 s rule39.9739.70-0.2759.7659.5583 → 9582.282.30.044 / 1.155 s8 of 1500re-scored
GPT-6 Luna (default medium reasoning effort)v1.7 · 10 s rule39.1639.10-0.0698.4498.4084 → 9671.871.41.932 / 3.765 s5 of 600re-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 rule38.5438.51-0.0450.4750.4785 → 9790.289.70.064 / 0.118 s0 of 1500re-scored
JevK5 v0.3 (4B)v1.7 · 10 s rule37.3637.35-0.0164.2164.1786 → 9893.993.80.019 / 0.035 s2 of 1500re-scored
metask-jev-4bv1.7 · 10 s rule37.3537.33-0.0261.7961.7987 → 9990.890.50.058 / 0.094 s0 of 1500re-scored
deck-4B v1.0 (krishna765, JevK5 + LoRA, FP8 weight-only)v1.7 · 10 s rule37.2637.26-0.0163.6163.6188 → 10089.989.90.077 / 0.095 s0 of 1500re-scored
Kahn1 4B (Okura66, Qwen3.5-4B LoRA merge, author's sysone engine)v1.7 · 10 s rule37.0236.97-0.0561.7461.7489 → 10190.089.20.078 / 0.120 s0 of 1500re-scored
Clef-Flash (Cloudflare, Qwen3.5-9B post-train with a joint schema head, multimodal, measured on text)v1.7 · 10 s rule36.6436.62-0.0263.8263.8290 → 10288.488.10.104 / 0.140 s0 of 1500re-scored
Decision-4B (Eval Engine / Chromia)v1.7 · 10 s rule35.4335.40-0.0359.1059.1091 → 10391.190.60.056 / 0.091 s0 of 1500re-scored
decisor-4bv1.7 · 10 s rule35.3435.34-0.0045.7445.7492 → 10491.991.90.049 / 0.057 s0 of 1500re-scored
janus 4B (Icarus AI / cmxu, Qwen3.5-4B + LoRA r64 and pointer decision head)v1.7 · 10 s rule35.1835.15-0.0362.8562.8593 → 10593.292.70.031 / 0.051 s0 of 1500re-scored
Qwen3.5-9B Jev-like data-mix v2v1.7 · 10 s rule33.5933.58-0.0160.8760.8794 → 10685.485.20.171 / 0.230 s0 of 1500re-scored
Seb-9B (ironbcc, Qwen3.5-9B fine-tune, one forward pass, stock vLLM, self-hosted)v1.7 · 10 s rule32.5732.56-0.0163.1463.1495 → 10790.890.70.050 / 0.096 s0 of 1500re-scored
JevK5 v0.2.0v1.7 · 10 s rule32.1032.08-0.0262.8262.8297 → 10891.691.20.044 / 0.083 s0 of 1500re-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—90.70.069 / 0.072 s0 of 1500new in v1.7.0 (no v1.6 value)
Amos 1 medium (Scira)v1.7 · 10 s rule32.2031.64-0.5663.1862.8596 → 11086.586.20.448 / 0.532 s10 of 1500re-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—86.40.132 / 0.202 s15 of 1500new in v1.7.0 (no v1.6 value)
JevOnev1.7 · 10 s rule31.1531.13-0.0168.8668.8698 → 11289.889.60.065 / 0.121 s0 of 1500re-scored
Fastino GLiDEv1.7 · 10 s rule30.5930.57-0.0277.0277.0299 → 11377.577.20.852 / 2.218 s0 of 600re-scored
Jebadiah 9B v2.1 (Frontier Infra, Qwen3.5-9B LoRA)v1.7 · 10 s rule30.3530.32-0.0263.4163.41100 → 11491.491.00.050 / 0.084 s0 of 1500re-scored
Verdin-4B (Victor Bennett, Qwen3.5-4B + merged LoRA r16 + pointer head)v1.7 · 10 s rule21.7829.86+8.0859.5459.60117 → 11545.990.20.058 / 0.104 s0 of 1500re-measured on a GPU (replaces the CPU row)
TypeCastLM 1.4.0 (Mikhail Gribov, Qwen3.5-4B computed head)v1.7 · 10 s rule29.8329.82-0.0156.3956.39102 → 11693.092.80.031 / 0.049 s0 of 1500re-scored
blink-4b (thegovind, Qwen3.5-4B derivative)v1.7 · 10 s rule30.0129.47-0.5461.6361.42101 → 11791.391.20.058 / 0.068 s2 of 1500re-scored
jiwo 4b (Qwen3.5-4B backbone with a trained decision head, one forward pass, native probabilities, self-hosted)v1.7 · 10 s rule28.9628.95-0.0160.2360.23103 → 11892.492.20.036 / 0.061 s0 of 1500re-scored
Imajev-4B (RTX 5090)v1.7 · 10 s rule28.6628.65-0.0161.8961.89105 → 11990.590.40.072 / 0.081 s0 of 1500re-scored
SimpleJev Qwen3.6-35B-A3Bv1.7 · 10 s rule27.5727.53-0.0468.2968.29106 → 12076.776.10.652 / 0.943 s0 of 600re-scored
Uniphore-4B-Deciderv1.7 · 10 s rule27.1727.15-0.0257.0757.07107 → 12187.787.30.109 / 0.178 s0 of 1500re-scored
Decision 2.0 Lux 9B (vLLM-SR, Qwen3.5-9B lineage)v1.7 · 10 s rule27.1127.09-0.0261.6561.65108 → 12289.989.50.070 / 0.117 s0 of 1500re-scored
Hopperv1.7 · 10 s rule28.8526.51-2.3562.4161.20104 → 12391.190.60.057 / 0.090 s22 of 1500re-scored
Malkuth-4B (newfull5, Kev post-train)v1.7 · 10 s rule26.2026.19-0.0161.1461.14109 → 12489.589.40.075 / 0.117 s0 of 1500re-scored
jqv (Qwen3-32B zero-shot)v1.7 · 10 s rule25.3925.36-0.0361.8661.86110 → 12583.182.50.118 / 0.659 s0 of 1500re-scored
JPT-35B-A3B (Qwen3.5-35B-A3B fine-tune)v1.7 · 10 s rule25.3625.35-0.0170.6870.68111 → 12690.590.40.072 / 0.081 s0 of 1500re-scored
decider-35b-a3b (Mapika)v1.7 · 10 s rule24.7724.77-0.0066.1766.17112 → 12791.391.20.052 / 0.075 s0 of 1500re-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 rule24.6524.64-0.0156.9256.92113 → 12891.491.20.045 / 0.081 s0 of 1500re-scored
Manchego v2.1v1.7 · 10 s rule24.4924.48-0.0158.2858.28114 → 12990.790.60.056 / 0.092 s0 of 1500re-scored
Decision 4B v1.2 (FlyMyJev, Qwen3.5-4B + LoRA)v1.7 · 10 s rule24.4624.46-0.0060.4160.41115 → 13093.993.90.020 / 0.033 s0 of 1500re-scored
Standard One 3B SH v4 (Standard Thinking)v1.7 · 10 s rule—24.40——56.04— → 131—93.10.031 / 0.041 s0 of 1500new 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—85.50.140 / 0.253 s0 of 1497new in v1.7.0 (no v1.6 value)
Raw Qwen3 4B Instruct 2507 direct logitsv1.7 · 10 s rule21.7921.78-0.0134.5734.57116 → 13391.290.70.050 / 0.094 s0 of 1500re-scored
StartLux-Decision v1.1 27B Instant (StartLux Labs, Qwen3.8-27B fine-tune)v1.7 · 10 s rule21.6221.61-0.0182.5682.56118 → 13490.690.30.057 / 0.101 s0 of 1500re-scored
Standard One 3B SH (Standard Thinking)v1.7 · 10 s rule21.6021.59-0.0155.5755.57119 → 13586.686.40.039 / 0.431 s0 of 1500re-scored
RSI-Jev v6.1-VL 27Bv1.7 · 10 s rule21.5921.58-0.0073.4673.46120 → 13684.784.60.133 / 0.340 s0 of 1500re-scored
GPT-5.6 Luna (low reasoning effort)v1.7 · 10 s rule21.4121.36-0.0594.4993.64121 → 13773.173.21.586 / 3.011 s4 of 600re-scored
JEV-27B (AutoTrust, Qwen3.8-27B)v1.7 · 10 s rule21.2921.27-0.0273.8673.86122 → 13886.986.50.113 / 0.225 s0 of 1500re-scored
torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune)v1.7 · 10 s rule21.2721.14-0.1481.5780.22123 → 13987.787.60.099 / 0.173 s23 of 1500re-scored
Bespoke Nimble 9B (Bespoke Labs)v1.7 · 10 s rule21.0821.06-0.0256.5156.51124 → 14086.185.50.157 / 0.226 s0 of 1500re-scored
Nimble-v4-max (open weights, self-hosted)v1.7 · 10 s rule—20.70——81.16— → 141—84.80.154 / 0.288 s1 of 1500new 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 rule20.7420.63-0.1081.7480.84125 → 14286.386.00.147 / 0.210 s15 of 1500re-scored
Perplexity Decider v1.1 27B (Qwen3.8-27B, noncausal decision readout)v1.7 · 10 s rule20.6220.59-0.0382.7982.71127 → 14386.886.40.131 / 0.206 s1 of 1500re-scored
vLLM-SR d3-turbov1.7 · 10 s rule20.4820.46-0.0282.5982.59129 → 14486.085.60.151 / 0.227 s0 of 1500re-scored
vLLM-SR d3v1.7 · 10 s rule20.5420.45-0.0982.9782.15128 → 14587.487.00.110 / 0.194 s15 of 1500re-scored
reflex 4B (kshetrajna12)v1.7 · 10 s rule20.6420.43-0.2158.9658.86126 → 14668.868.81.362 / 2.240 s2 of 1500re-scored
Vera Largev1.7 · 10 s rule—20.31——79.55— → 147—88.00.092 / 0.161 s0 of 1500new in v1.7.0 (no v1.6 value)
Amos 1 large (Scira)v1.7 · 10 s rule20.4020.25-0.1579.3677.99130 → 14883.683.30.532 / 0.885 s21 of 1500re-scored
JADE (Qwen3.8-27B LoRA)v1.7 · 10 s rule20.1920.18-0.0149.2549.25131 → 14985.585.10.136 / 0.292 s0 of 1500re-scored
Nagi-ENORMOUS 27B (nagisanzenin, Qwen3.8-27B LoRA)v1.7 · 10 s rule19.7819.77-0.0173.7773.77132 → 15086.285.80.154 / 0.211 s0 of 1500re-scored
typecastlm (Mikhail Gribov, Qwen3.5-4B computed head)v1.7 · 10 s rule19.7219.72-0.0056.5456.54133 → 15192.892.70.030 / 0.053 s0 of 1500re-scored
Jebadiah 27B (Frontier Infra, Qwen3.8-27B LoRA)v1.7 · 10 s rule19.2619.22-0.0470.3170.23134 → 15285.885.10.157 / 0.260 s1 of 1500re-scored
iota-decide-4b (Macrocosmos, Clef joint-head 4B, self-hosted)v1.7 · 10 s rule18.9418.93-0.0157.1257.12135 → 15387.587.10.122 / 0.170 s0 of 1500re-scored
Decision 2.0 Vega 27B (vLLM-SR, Qwen3.8-27B)v1.7 · 10 s rule18.8818.87-0.0271.3171.31136 → 15483.883.30.196 / 0.351 s0 of 1500re-scored
Jebadiah 9B v2 (Frontier Infra, Qwen3.5-9B LoRA)v1.7 · 10 s rule18.7818.78-0.0056.9556.95137 → 15591.691.50.055 / 0.062 s0 of 1500re-scored
Standard One 8B SH (Standard Thinking)v1.7 · 10 s rule18.7518.74-0.0059.9859.98138 → 15684.384.20.067 / 0.596 s0 of 1500re-scored
Decision 4B v1.1 (FlyMyJev, Qwen3.5-4B + LoRA)v1.7 · 10 s rule18.7218.72-0.0057.1957.19139 → 15794.093.90.019 / 0.033 s0 of 1500re-scored
AutoJev-27B (denis-pplx, Qwen3.8-27B)v1.7 · 10 s rule18.4618.45-0.0171.6271.62140 → 15888.688.30.100 / 0.135 s0 of 1500re-scored
pjev-2b (Kailune AI, frozen MiniCPM5-2B + merged LoRA r64, letter-logit readout, T=1 stub)v1.7 · 10 s rule15.7618.07+2.3157.7256.45156 → 15949.192.70.035 / 0.047 s0 of 1500re-measured on a GPU (replaces the CPU row)
Eikos-27B (caiovicentino1, Qwen3.8-27B)v1.7 · 10 s rule18.0818.07-0.0177.1977.19141 → 16088.187.90.115 / 0.139 s0 of 1500re-scored
Instinct Dual 4Bv1.7 · 10 s rule17.9717.970.0057.2157.21142 → 16188.688.60.232 / 0.601 s0 of 600re-scored
NInfer Qwen3.8-27B NVFP4v1.7 · 10 s rule17.7217.71-0.0167.9967.99143 → 16290.590.20.057 / 0.107 s0 of 1500re-scored
Compass 0.2.0 (adimyth, Qwen3.5-4B LoRA)v1.7 · 10 s rule17.6117.61-0.0156.0956.09144 → 16383.383.10.257 / 0.298 s0 of 1500re-scored
JEB-35B-A3B (szybkie.ai, Qwen3.6-35B-A3B LoRA)v1.7 · 10 s rule17.3017.30-0.0061.6161.61145 → 16493.092.90.036 / 0.042 s0 of 1500re-scored
OpenJev (thinking, BF16)v1.7 · 10 s rule17.2717.27+0.0175.8875.78146 → 16572.672.90.889 / 1.251 s1 of 1500re-scored
Open-Jev 9B (Zefan Cai)v1.7 · 10 s rule17.0517.04-0.0061.8561.85147 → 16674.474.30.644 / 1.212 s0 of 1500re-scored
Gemini 3.1 Flash-Litev1.7 · 10 s rule16.9416.93-0.0159.7559.75148 → 16779.079.00.962 / 1.317 s0 of 600re-scored
Standard One 8B (Standard Thinking)v1.7 · 10 s rule16.9216.91-0.0158.4158.41149 → 16892.892.50.033 / 0.056 s0 of 1500re-scored
Clef (Cloudflare, Qwen3.8-27B post-train with a joint schema head, multimodal, measured on text)v1.7 · 10 s rule16.7516.73-0.0275.3375.33150 → 16983.482.80.230 / 0.354 s0 of 1500re-scored
ArseneLupin v1.1 (IBOU-SEARCH, Qwen3.5-4B LoRA)v1.7 · 10 s rule16.5516.55-0.0055.0955.09151 → 17089.789.50.085 / 0.099 s0 of 1500re-scored
system-one-open (Gemma 4 E2B LoRA on an L4)v1.7 · 10 s rule16.3916.390.0051.9451.94152 → 17179.379.20.514 / 0.587 s0 of 600re-scored
JEV Qwen3.5-9B Base NVFP4v1.7 · 10 s rule15.9815.97-0.0157.1457.14154 → 17293.693.40.023 / 0.041 s0 of 1500re-scored
Arbiter-4B (Goddragon, NeoHorse 4B pointer model, author server, self-hosted)v1.7 · 10 s rule15.9215.91-0.0052.2952.29155 → 17392.292.10.047 / 0.052 s0 of 1500re-scored
Decider-4B (roudone, NeoHorse 4B pointer model, author server, self-hosted)v1.7 · 10 s rule15.7415.74-0.0056.8256.82157 → 17492.091.90.048 / 0.056 s0 of 1500re-scored
ClassOne Gemma 4 E4B (Gemma-4-E4B backbone with ClassOne decision heads, schema-constrained single forward pass, self-hosted)v1.7 · 10 s rule15.6115.60-0.0038.3538.35158 → 17591.891.70.039 / 0.074 s0 of 1500re-scored
SemIf, formerly OpenJev (Qwen3.5-4B, TheoLeeCJ)v1.7 · 10 s rule15.5215.51-0.0155.3555.35159 → 17690.890.40.059 / 0.094 s0 of 1500re-scored
openjev-sglang (Qwen3.6-35B-A3B on SGLang)v1.7 · 10 s rule15.3815.380.0058.6758.67160 → 17777.777.70.635 / 0.675 s0 of 600re-scored
DecisionNode Edge 0.9.2v1.7 · 10 s rule—15.33——52.14— → 178—92.90.031 / 0.046 s0 of 1500new in v1.7.0 (no v1.6 value)
RYOTIDE-Qwen9v1.7 · 10 s rule16.1314.69-1.4453.4752.49153 → 17986.786.40.133 / 0.203 s21 of 1500re-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 rule14.3414.33-0.0138.0938.09161 → 18091.591.00.048 / 0.085 s0 of 1500re-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—90.80.060 / 0.081 s0 of 1500new in v1.7.0 (no v1.6 value)
RYOTIDE-Qwen (csabag, Qwen3.5-4B stock weights)v1.7 · 10 s rule13.2512.94-0.3156.5056.30162 → 18289.189.00.097 / 0.107 s2 of 1500re-scored
Chon-1.0-12Bv1.7 · 10 s rule64.8512.82-52.0385.3442.9949 → 18365.564.70.180 / 33.441 s540 of 1500re-scored
Noma (Blackdrome AI Labs, Qwen3.5-4B-Base derivative)v1.7 · 10 s rule12.7512.75-0.0054.3454.34163 → 18493.393.10.026 / 0.047 s0 of 1500re-scored
KnowLine 35B-A3B-Gen1.5v1.7 · 10 s rule—12.43——76.65— → 185—91.70.048 / 0.062 s0 of 1500new in v1.7.0 (no v1.6 value)
Bev / Bonsai 27Bv1.7 · 10 s rule11.7411.74-0.0066.1466.14164 → 18673.072.90.989 / 1.123 s0 of 1500re-scored
LitJev (Qwen3.8-27B)v1.7 · 10 s rule11.4611.46-0.0066.6066.60165 → 18768.268.11.498 / 2.405 s0 of 1500re-scored
local-jev Qwen3.5-4Bv1.7 · 10 s rule11.4411.43-0.0154.9954.99166 → 18886.185.60.137 / 0.246 s0 of 1500re-scored
system-one (Qwen3-8B, Sean Goedecke)v1.7 · 10 s rule11.0311.02-0.0029.7229.72167 → 18990.990.50.053 / 0.098 s0 of 1500re-scored
StartLux-Decision v1.1 27B AutoThink (StartLux Labs, Qwen3.8-27B fine-tune, gate 0.6)v1.7 · 10 s rule10.8910.82-0.0880.3578.80168 → 19075.175.20.070 / 5.188 s12 of 1500re-scored
kev 8B (research preview)v1.7 · 10 s rule10.6210.61-0.0150.0150.01169 → 19189.088.50.076 / 0.160 s0 of 1500re-scored
Decision 2B (FlyMy.AI, v59)v1.7 · 10 s rule10.2910.29+0.0054.8254.82170 → 19290.490.40.075 / 0.077 s0 of 1500re-scored
OpenSourceJev (Qwen3.5-4B Q4_K_M, native llama.cpp)v1.7 · 10 s rule10.2610.24-0.0348.5748.57171 → 19377.175.80.321 / 1.570 s0 of 1500re-scored
Imajev-9B (mohit67890, Qwen3.5-9B LoRA)v1.7 · 10 s rule9.799.79-0.0062.4262.42172 → 19479.579.20.391 / 0.565 s0 of 1500re-scored
open-alternative-jev (Qwen3.5-4B, IkerMoel)v1.7 · 10 s rule9.449.43-0.0149.1449.14173 → 19591.390.90.050 / 0.089 s0 of 1500re-scored
Raw Qwen3 8B direct logitsv1.7 · 10 s rule9.309.30-0.0030.1430.14174 → 19688.788.20.082 / 0.164 s0 of 1500re-scored
Liquid AI d1-3Bv1.7 · 10 s rule8.868.85-0.0049.5149.51175 → 19794.394.10.017 / 0.031 s0 of 1500re-scored
Krino-2Bv1.7 · 10 s rule8.738.72-0.0142.4142.41176 → 19891.991.00.032 / 0.112 s0 of 1500re-scored
Imajev-2B (mohit67890, Qwen3.5-2B LoRA)v1.7 · 10 s rule7.937.92-0.0053.9753.97177 → 19981.681.20.298 / 0.429 s0 of 1500re-scored
decider-2b (Mapika)v1.7 · 10 s rule7.677.67-0.0044.5944.59178 → 20094.694.50.016 / 0.023 s0 of 1500re-scored
Nemotron Diffusion 8B (pst2154, optimized vLLM)v1.7 · 10 s rule7.307.29-0.0047.4647.46179 → 20193.893.60.024 / 0.036 s0 of 1500re-scored
DeepSeek V4.1 Flash (thinking default)v1.7 · 10 s rule7.096.90-0.1997.3589.62180 → 20268.166.02.205 / 11.414 s34 of 600re-scored
kev 4B (research preview)v1.7 · 10 s rule6.616.61-0.0043.9843.98182 → 20390.590.20.072 / 0.086 s0 of 1500re-scored
Clef-omniv1.7 · 10 s rule6.076.06-0.0058.3258.32183 → 20486.886.60.147 / 0.173 s0 of 1500re-scored
Kev 27B (Kev 1.0, Qwen3.8-27B)v1.7 · 10 s rule5.775.76-0.0178.9478.94184 → 20583.782.80.187 / 0.422 s0 of 1500re-scored
FrontiersMind Lumma-fev-27Bv1.7 · 10 s rule—5.31——72.29— → 206—85.50.142 / 0.253 s0 of 1500new in v1.7.0 (no v1.6 value)
DecisionNode Edge Mini 0.9.2v1.7 · 10 s rule—5.30——47.61— → 207—92.90.031 / 0.045 s0 of 1500new 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 rule4.074.07-0.0047.2147.21185 → 20894.394.30.020 / 0.022 s0 of 1500re-scored
Malkuth-2B (newfull5, Kev post-train)v1.7 · 10 s rule3.993.99-0.0047.6347.63186 → 20992.092.00.044 / 0.059 s0 of 1500re-scored
Qwen3-Reranker-4Bv1.7 · 10 s rule3.723.71-0.0144.7544.75187 → 21082.181.10.211 / 0.609 s0 of 1500re-scored
SimpleJev Qwen3.8-27B (self-hosted, v1.6 pool)v1.7 · 10 s rule3.393.39-0.0074.8974.89189 → 21176.276.00.639 / 0.811 s0 of 1500re-scored
ZeroEntropy zerank-2v1.7 · 10 s rule3.353.34-0.0049.4049.40190 → 21282.981.80.185 / 0.562 s0 of 1500re-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 rule3.273.27-0.0047.6847.68191 → 21394.193.80.021 / 0.033 s0 of 1500re-scored
Open-Jev 2B (Zefan Cai)v1.7 · 10 s rule3.243.24-0.0047.7147.71192 → 21477.177.10.451 / 0.845 s0 of 1500re-scored
SimpleJev Qwen3.8-27Bv1.7 · 10 s rule3.223.220.0071.6071.60193 → 21576.976.40.633 / 0.897 s0 of 600re-scored
Vega 4Bv1.7 · 10 s rule3.603.07-0.5337.6936.58188 → 21684.483.90.197 / 0.296 s29 of 1500re-scored
Open-Jev 27B v1.1 (Zefan Cai, LoRA + decision head on Qwen3.8-27B)v1.7 · 10 s rule2.882.88-0.0067.9667.96194 → 21772.572.10.819 / 1.631 s0 of 1500re-scored
Raw Phi-4 mini direct logitsv1.7 · 10 s rule2.482.48-0.0035.3435.34195 → 21891.991.50.044 / 0.073 s0 of 1500re-scored
decision-machine-1 (milliseconds.ai)v1.7 · 10 s rule2.352.350.0046.1346.13196 → 21993.092.90.171 / 0.302 s0 of 600re-scored
SimpleJev (Qwen3.5-0.8B, CPU)v1.7 · 10 s rule2.111.97-0.1431.6031.07197 → 22058.958.64.506 / 7.381 s14 of 1500re-scored
JevAct (einptein, jev1-2b-v2)v1.7 · 10 s rule1.111.110.0028.7728.77198 → 22176.576.40.404 / 1.431 s0 of 600re-scored
smalljev semantic-v9v1.7 · 10 s rule0.770.77-0.0042.9542.95200 → 22290.290.10.067 / 0.096 s0 of 1500re-scored
Gutsy 0.8B v0.3v1.7 · 10 s rule0.760.76-0.0043.0542.25201 → 22372.971.60.876 / 1.758 s29 of 1500re-scored
Vega-U (Qwen3.5-4B reader)v1.7 · 10 s rule0.780.72-0.0644.3142.64199 → 22460.788.80.090 / 0.124 s15 of 1500re-measured on a GPU (replaces the CPU row)
PurpleMIST-Mini-1.0 (Olaverse)v1.7 · 10 s rule0.690.71+0.0243.0343.03202 → 22558.788.50.076 / 0.156 s0 of 1500re-measured on a GPU (replaces the CPU row)
kev 0.6B (research preview)v1.7 · 10 s rule0.540.54-0.0036.9336.93203 → 22691.591.50.057 / 0.060 s0 of 1500re-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 rule0.520.52-0.0042.7642.63204 → 22790.790.60.044 / 0.110 s5 of 1500re-scored
OpenDecision (ModernBERT-large zero-shot)v1.7 · 10 s rule0.510.51-0.0038.0038.00205 → 22887.186.40.093 / 0.270 s0 of 1500re-scored
ClassOne Gemma 4 E2B (Gemma-4-E2B backbone with ClassOne decision heads, schema-constrained single forward pass, self-hosted)v1.7 · 10 s rule0.490.49-0.0015.2115.21206 → 22993.393.10.029 / 0.043 s0 of 1500re-scored
Fastino GLiNER-2.5-Decide (hosted API)v1.7 · 10 s rule0.340.34+0.0034.5734.57208 → 23084.785.00.420 / 0.755 s0 of 1500re-scored
Deem 0.8B v1v1.7 · 10 s rule0.320.32-0.0018.0818.08209 → 23185.484.80.164 / 0.268 s0 of 1500re-scored
Decision Fast (FlyMy.AI, v53a)v1.7 · 10 s rule0.300.30+0.0040.5940.59210 → 23291.591.50.058 / 0.059 s0 of 1500re-scored
Quyet-1.0-Small-EN (Chinh Nguyen, ModernBERT-base encoder with fixed heads)v1.7 · 10 s rule0.290.29-0.0039.5439.54211 → 23394.994.90.015 / 0.015 s0 of 1500re-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 rule0.240.24-0.0019.2219.22212 → 23493.192.90.031 / 0.045 s0 of 1500re-scored
Laya typed-decisionsv1.7 · 10 s rule0.220.22-0.0044.2244.22214 → 23570.869.31.002 / 2.628 s0 of 1500re-scored
Vega-U (Qwen3.5-0.8B reader)v1.7 · 10 s rule0.220.20-0.0236.5236.14213 → 23673.873.10.730 / 1.461 s15 of 1500re-scored
WaterSheep (Samrat Dutta, ModernBERT-base encoder with calibrated heads, served by the author's own `watersheep --serve`)v1.7 · 10 s rule0.190.19-0.0035.5735.54215 → 23777.677.40.463 / 0.773 s1 of 1500re-scored
openJev Verdict 1.4v1.7 · 10 s rule0.170.17-0.0040.3740.37216 → 23881.580.90.335 / 0.416 s0 of 1500re-scored
Raw Qwen3 0.6B direct logitsv1.7 · 10 s rule0.170.17-0.008.258.25217 → 23993.593.40.029 / 0.034 s0 of 1500re-scored
lev-350m (Franck Verrot, LFM2.5-350M)v1.7 · 10 s rule0.150.15-0.0043.3543.35218 → 24094.093.80.022 / 0.033 s0 of 1500re-scored
Raw Qwen3 1.7B direct logitsv1.7 · 10 s rule0.140.14-0.008.328.32219 → 24193.293.10.032 / 0.039 s0 of 1500re-scored
kev 0.5Bv1.7 · 10 s rule0.130.13-0.0032.9032.90220 → 24292.492.40.044 / 0.046 s0 of 1500re-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—92.50.043 / 0.044 s0 of 1500new in v1.7.0 (no v1.6 value)
openJev Verdict (heman10x, ModernBERT-base 151M)v1.7 · 10 s rule0.100.10-0.0026.6326.63221 → 24479.478.50.321 / 0.828 s0 of 1500re-scored
Quyet-1.0-Small (Chinh Nguyen, SEA-LION-ModernBERT-300M encoder with fixed heads)v1.7 · 10 s rule0.090.09-0.0032.4932.49222 → 24594.994.90.015 / 0.015 s0 of 1500re-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 rule0.070.07-0.0041.5741.57223 → 24675.873.80.491 / 1.755 s0 of 1500re-scored
Quyet-1.0-Tiny (Chinh Nguyen, mmBERT-small encoder (16 layers kept) with fixed heads)v1.7 · 10 s rule0.070.07-0.0031.0831.08224 → 24795.195.10.013 / 0.013 s0 of 1500re-scored
Phocinae-Largha-150M-v1v1.7 · 10 s rule0.070.07-0.0030.2430.24225 → 24877.176.50.484 / 0.924 s0 of 1500re-scored
Liquid AI d1-omni-600Mv1.7 · 10 s rule0.050.05-0.0032.7932.79226 → 24994.194.00.022 / 0.028 s0 of 1500re-scored
Vega 0.8Bv1.7 · 10 s rule0.040.04-0.0032.9932.99227 → 25089.589.20.087 / 0.112 s0 of 1500re-scored
open-jev-deberta-v3-large (local CPU)v1.7 · 10 s rule0.030.03-0.0035.4035.40228 → 25167.667.31.685 / 2.558 s0 of 1500re-scored
Julia-1 (Supersonic Labs)v1.7 · 10 s rule0.020.02-0.009.859.85230 → 25279.477.70.333 / 0.955 s0 of 1500re-scored
verdict-small (Manavarya09, multilingual-e5-small 118M)v1.7 · 10 s rule0.020.02-0.0037.6337.63231 → 25389.588.70.065 / 0.163 s0 of 1500re-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 rule0.020.02-0.0024.3124.24232 → 25480.379.20.265 / 0.816 s3 of 1500re-scored
Laya (Convai Innovations, ModernBERT-large 421M)v1.7 · 10 s rule0.010.01-0.0032.5132.51233 → 25573.372.70.932 / 1.244 s0 of 1500re-scored
Mixedbread mxbai-rerank-base-v2v1.7 · 10 s rule0.000.00-0.0043.8743.87234 → 25692.692.10.032 / 0.070 s0 of 1500re-scored
Laya multilingualv1.7 · 10 s rule0.000.00-0.0016.9716.97235 → 25777.877.00.402 / 0.983 s0 of 1500re-scored
Certo v1 (AltSlate Labs)v1.7 · 10 s rule0.000.00-0.0043.1743.17236 → 25892.592.40.042 / 0.046 s0 of 1500re-scored
CLM-8B (Contrastive-LM, clm-latest)v1.7 · 10 s rule0.000.00-0.0020.0920.08237 → 25992.691.70.037 / 0.076 s1 of 1500re-scored
BAAI bge-reranker-v2-m3v1.7 · 10 s rule0.000.00-0.0044.0844.08238 → 26093.993.60.018 / 0.043 s0 of 1500re-scored
Alibaba GTE Reranker ModernBERT-basev1.7 · 10 s rule0.000.000.0041.7341.73239 → 26193.893.50.025 / 0.037 s0 of 1500re-scored
Mirrorv1.7 · 10 s rule0.000.000.0025.8125.81240 → 26273.574.00.561 / 1.476 s0 of 1500re-scored
Open Jev JSON Canvas (JoshuaSP)v1.7 · 10 s rule0.000.000.0030.6030.60241 → 26385.585.20.159 / 0.246 s0 of 1500re-scored
Qwen3.8 27B (Chutes TEE)v1.7 · 10 s rule0.000.000.0098.1948.59242 → 26457.455.08.350 / 37.933 s233 of 600re-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———60.3660.36— → —80.580.30.360 / 0.457 s0 of 1500re-scored
BB-Qwen3.5-4B-LoRA (Babak Barazandeh, LoRA on Qwen3.5-4B-Base, hosted /v1/systemone)v1.7 · 10 s rule———60.4160.41— → —81.680.90.717 / 1.131 s0 of 1500re-scored
Bongard-mini (AgentBull, T5Gemma-2 4B-4B)v1.7 · 10 s rule———54.7954.79— → —90.690.50.070 / 0.080 s0 of 1500re-scored
classifier.dev (fast tier)v1.7 · 10 s rule71.6271.35-0.2778.2578.25— → —79.578.20.980 / 1.542 s0 of 600re-scored
jevora-9b-v1 (kadirbekovvv / doxanocap, Qwen3.5-9B-Base derivative)v1.7 · 10 s rule———37.0036.92— → —90.690.40.065 / 0.088 s1 of 1500re-scored
Kev-9B v2 (Jared Palmer, Qwen3.5-9B-Base LoRA + pointer head)v1.7 · 10 s rule———61.5061.50— → —89.289.00.054 / 0.167 s0 of 1500re-scored
metask-jev-rain-12Bv1.7 · 10 s rule68.6668.50-0.1678.3078.30— → —76.075.20.101 / 4.218 s0 of 1500re-scored
Microsoft-Decision-1 (Azure Foundry) — A2 re-runv1.7 · 10 s rule71.4571.40-0.0672.1972.03— → —88.788.70.338 / 0.402 s0 of 600re-scored
Nagi-HUGE 12B (nagisanzenin, Gemma-4-12B LoRA)v1.7 · 10 s rule———64.0464.04— → —88.688.40.100 / 0.132 s0 of 1500re-scored
Nemotron Deciffusion 8B v2 (pst2154)v1.7 · 10 s rule———69.3269.32— → —87.787.40.105 / 0.180 s0 of 1500re-scored
PurpleMIST-Flash-1.0 (Olaverse)v1.7 · 10 s rule———60.1160.11— → —88.387.70.090 / 0.181 s0 of 1500re-scored
RYOTIDE-Gemma (csabag, Gemma-4-E4B stock weights)v1.7 · 10 s rule———55.2154.52— → —89.289.10.095 / 0.107 s15 of 1500re-scored
TDE general large v0.1 (tdelab, ModernBERT-large encoder)v1.7 · 10 s rule———30.8530.85— → —93.993.90.020 / 0.031 s0 of 1500re-scored
Trio-Spark v1.3 (MachineFi)v1.7 · 10 s rule———57.0357.03— → —76.576.21.310 / 1.840 s0 of 1500re-scored
wity-1 (Wity, reasoning always)v1.7 · 10 s rule70.5669.00-1.5679.2577.13— → —71.268.51.907 / 7.387 s36 of 1500re-scored
wity-1 (Wity, reasoning off)v1.7 · 10 s rule49.3749.18-0.1962.9762.97— → —89.687.60.345 / 0.502 s0 of 1500re-scored
Chon-1.0-E4Bv1.6 · re-measure pending45.93——68.39—69 → —44.0———re-measure pending under the 10 s rule
modernbert-jev v2v1.6 · re-measure pending0.03——34.65—229 → —57.8———re-measure pending under the 10 s rule
Nev-2B (EryriLabs)v1.6 · re-measure pending6.94——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 pending0.47——42.63—207 → —55.9———re-measure pending under the 10 s rule
Reflex Instinct 0.6B (Atlas AI)v1.6 · re-measure pending0.08——38.56—— → —59.0———re-measure pending under the 10 s rule
AutoJev-27B (RTX PRO 6000)v1.519.48——79.72—— → —————carried (v1.5)
Surogate Rune 26B-A4B v3 (RTX PRO 6000)v1.566.47——79.02—— → —————carried (v1.5)
reflex-27b (Qwen3.8-27B)v1.513.19——74.36—— → —————carried (v1.5)
NInfer Qwen3.8-27B NVFP4 (T=1.5)v1.518.48——73.79—— → —————carried (v1.5)
jeff (Logan Markewich, GLiFormer 400M)v1.50.12——42.35—— → —————carried (v1.5)
Von (wfzyx, Option-Marker 395M)v1.50.00——41.74—— → —————carried (v1.5)
Bosun v3.1 0.6Bv1.52.50——39.37—— → —————carried (v1.5)
GLiNER2.5 multi (Fastino, 287M)v1.52.72——35.98—— → —————carried (v1.5)
GLiNER2.5 small (Fastino, 74M)v1.50.89——32.55—— → —————carried (v1.5)
GLiNER2 large (Fastino)v1.58.40——32.44—— → —————carried (v1.5)
GLiNER2 (Fastino, gliner2.5-base)v1.52.27——24.52—— → —————carried (v1.5)
Needle 3 (Cactus, 2-bit, local CPU)v1.50.00——0.00—— → —————carried (v1.5)
Needle 3, options as tools (post-hoc adapter mode)v1.50.00——0.00—— → —————carried (v1.5)
Drex v1.5v1.572.24——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.