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anthropic/claude-opus-4.76.5 (v1=2, v2=11). v1 — Nutrition: 2/27, score 84.8%, pass rate 85% (317/373). v2 — Resilience: 11/16, score 68.1%, pass rate 60.5% (276/456).1.3s, output speed 159 tok/s$10.41, prompt tokens 76393, completion tokens 4054502/27) with high pass rate (85%) across 373 tests.29/30 passed) and solid speed category results (102/125).58/60, 96.7%) and strong security performance (97/120).11/16 with only 60.5% pass rate, notably lower than top competitors.48/120, 40% pass rate), dragging overall resilience scores.76/120, 63.3%), indicating challenges with complex code correction tasks.2/27, trailing x-ai/grok-4.3 (`85.5Overall 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).