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z-ai/glm-5.113.5 (v1=24, v2=3). v1 — Nutrition: 24/27, score 13.87%, pass rate 13.9% (52/373). v2 — Resilience: 3/11, score 72.10%, pass rate 51.2% (235/459).1.82s, output speed 613.6 tok/s$1.43, prompt tokens 46209, completion tokens 31775672.10% score and 51.2% pass rate across 459 tests.$1.43 total cost with fast output speed (613.6 tok/s).81.7% pass rate (49/60) in coding category.24/27 rank with only 13.87% score and 13.9% pass rate.13.1% pass rate (16/122) indicates significant gaps in logical tasks.0/6), suggesting UI-specific limitations.x-ai/grok-4.3 85.48%, `anthropic/claude-opus-4Overall 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).