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minimax/minimax-m35/28 in v2 — Resilience, score 74.7%, pass rate 58.0% (266/459)1.3s, output speed 46.1 tok/s$0.37, prompt tokens 101837, completion tokens 299429$0.37) among top performers with solid pass rates in cost (90%) and speed (81.7%) categories.85% pass rate (51/60), showing reliable code generation.68.3% pass rate (41/60), indicating factual grounding.28.3% pass rate (17/60), a significant gap vs top models.16.7% pass rate (10/60), suggesting difficulty with code restructuring.11.1% pass rate (1/9), indicating interface-related task challenges.openai/gpt-5.5 (score 77.9%, pass rate 61.9%) and openai/gpt-5.3-codex (77.7%, 61.2%), with a notable reasoning gap vs qwen/qwen3.7-max (75.3%, 54.9%).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).