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x-ai/grok-build-0.17/23 in v2 — Resilience, score 72.58%, pass rate 51.20% (235/459)1.32s, output speed 217.81 tok/s$1.97, prompt tokens 82848, completion tokens 900085100%), score 92.67% (139/150)91.67% pass rate (55/60), score 97.22% (175/180)77.78% pass rate (7/9)51.20%) despite decent score, indicating partial credit accumulation8.33% pass rate (5/60), score 60.07% (325/541)25.00% pass rate (15/60), score 71.16% (385/541)18.33% pass rate (11/60), score 61.33% (314/512)openai/gpt-5.5 (score 77.90%, pass rate 61.87%) by 5.32 points and 10.67 pass rate points; also behind openai/gpt-5.3-codex (score 77.66%, pass rate 61.22%) and moonshotai/kimi-k2.6 (score 74.81%, pass rate 60.57%)Overall score % from merged run_models rows (chronological). Only runs that include this model appear as points.
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).