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x-ai/grok-4.31/27 v1 — Nutrition · score 85.48% · pass rate 86.06% (321/373); 2/3 v2 — Resilience · score 67.57% · pass rate 46.62% (214/459)4.33s + output speed 4523.09 tok/s$1.16, prompt tokens 144990, completion tokens 4299541/27), strong pass rate (86.06%) and score (85.48%).speed (87.2% pass) and cost (93.3% pass) categories, showing efficient, low-latency performance.coding_ui (6/6) and ui (9/9), indicating reliable front-end and interface handling.security — only 52.5% pass rate (63/120), the lowest category, signaling significant vulnerability gaps.Refactoring pass rate is low (40%, 48/120), suggesting difficulty with code restructuring tasks.67.57% score, 46.62% pass rate), indicating limited robustness under stress.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).