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moonshotai/kimi-k2.622/27 v1 — Nutrition · score 15.4% · pass rate 15.3% (57/373) · 1/9 v2 — Resilience · score 74.8% · pass rate 60.6% (278/459)3.0s · output speed 608 tok/s$1.41 · prompt tokens 48,625 · completion tokens 345,2081/9 with 74.8% score, outperforming deepseek-v4-flash (71.2%) and mistral-medium-3-5 (70.3%).$1.41 total across 832 tests, with cost category passing 28/30 (93.3%).54/60 passed (90%), score 249/261.22/27 with only 15.4% score and 15.3% pass rate — far below top models (grok-4.3 at 85.5%).26/122 passed (21.3%), score 371/605.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).