Celeris-1 Decision (Celeris)

Composite (secondary)

71.0 · Not ranked on this board

Cost and measurement conditions

$0.021 per 1,000 decisions (estimated)

Celeris public price, USD 0.04/M input, output free (celeris.ai/pricing, fetched 16 Oct 2026 19:27Z, saved copy sha256 c3ed0fdc...; docs.celeris.ai/pricing rates table, saved copy sha256 ff4b658d..., byte-identical to the copy saved on 14 Oct 2026): "Celeris-1 Decision $0.04 / M input tokens, Free output tokens"; prepaid per-token billing with no subscription or commitment. Counted as the manufacturer's standard launch list price under interpretation I-1 (the reading that admitted kushal-gemma4-31b-it-autoloops, SubQ Snap, d1-ultra, Sage 1.4, Nimble and kettei), through a scoped re-freeze of the frozen pricing module that adds this one key and nothing else, with a zero-difference proof for every other registry entry. Workspace activation at Celeris is capacity-limited (an activation waitlist, as for SubQ Snap); free or promotional credit is not used. ESTIMATE in the scorer's sense: the tariff x this row's OWN provider-reported tokens (1,968,382 input tokens over the 1,500 answered items, 0 output tokens), divided by the 1,485 items of the common cost basis. Celeris counts input tokens its own way: per its docs, input_tokens "covers everything the model reads for the request, which is more than your state and questions alone"; on the same 1,500 items it reports about 3.0x the input tokens kettei-fat reports, so the cost reflects Celeris's own count. Not a bill and not a quote. COMMON COST BASIS (v1.6.30): cost per 1,000 decisions is computed on the common 1,485 items of this draw, leaving out the 15 very long items (at least 76,358 input tokens as counted by the rows that answered them). They are the 15 items the Jev reference refused with max_tokens_exceeded, which the other rows that did not answer them refused or failed on; their tokens count for no row, whether the row refused or answered them, and a refused item still counts as a wrong answer for Intelligence. This row: USD 0.020936 per 1,000 decisions (0.324x the official cost cap USD 0.064595), against USD 0.052490 over all 1,500 items (v1.6.29).

p50 latency: 0.4 s

none (API)

Vendor-hosted inference.celeris.ai/celeris-1-decision System One API (POST <base>/v1/systemone), model `celeris-1-decision`, through the unchanged TypeSafe adapter; latency measured from Sandy (Germany) without API adjustment. Full S1200+P300 draw of v1.6-regular-20261012 through the unchanged run_api_full_v161.py; the full-set exposure gate logged all 1,200 sealed items to provider `celeris` (no proxy) before the first request (custody #20414 under #19242). Native probabilities on all three question types; Celeris returns every probability at two-decimal precision (1,500 of 1,500 rows; 332 returned probabilities are exactly 0), scored as returned. The runner recorded celeris-1-decision as the answering model on all 1,500 rows (the adapter reads the response's model field). All 1,500 items answered with HTTP 200, including the 15 long items, which fit the documented 131,072-token context window (largest reported input 81,719 tokens). Paid public fast-lane order 70c4455b, run with the customer's own API key; hosting implementation and deployed weights were not independently inspected.