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openai/gpt-5.57 — v1 — Nutrition: 13/27, score 65.9%, pass rate 65.9% (240/364); v2 — Resilience: 1/16, score 77.9%, pass rate 61.9% (284/459)2.4s, output speed 257 tok/s$10.25, prompt tokens 71301, completion tokens 3332591/16) with strong robustness under adversarial and edge-case conditions.29/30 cost tests passed (96.7%), lowest cost per token among top performers.58/60 coding tests passed (96.7%), score 257/261.9/9 UI tests passed (100%), score 7.87/9.13/27 (65.9%), well behind top-3 models scoring 83–85%.82/297 passed (27.6%), score 475/780.81/300 passed (27.0%), score 422/781.Overall score % from merged run_models rows (chronological). Only runs that include this model appear as points.
Overall score % from the most recent run per selected suite version for this model. Different suites use different fixtures and max scores — only interpret comparisons qualitatively.
No score samples for the selected versions.
Score % vs pass rate % per category. With 0/1 scorers, both usually line up; with proportional tests, score % reflects partial credit while pass rate counts tests that clear the fixture threshold.
Total estimated spend per scope for this model (bars, left axis) and mean spend per merged result row (line, right axis: total ÷ tests).
Pass rate % per difficulty level — complements the score % view above.
Normalized 0–100 within this model: TTFT (shorter → higher spoke) and decode tok/s (higher → higher spoke). Values come from streamed BLXBench runs merged into overall_ranking.json.
Pass rate % per category for this model (distinct from score %, which reflects partial credit).