StealthBench live results: space-bunny-free

Anonymous OpenCode Zen alias · keyless $0 free tier · measured 2026-10-04/05 · repo

Scoreboard

BenchmarkScoren95% CICost
IFEval strict / loose (official scorer)0.573 / 0.584541 (full set)±0.04$0
MATH-500 (exact→numeric protocol)0.610500 (full split)±0.04$0
MMLU-Pro (letter-only extraction)0.712500 stratified±0.04$0
BFCL prompted slice30/50 eligible, overall null*50—$0

*Partial 6/16-category slice: reported per-category, never zero-filled. Transport 100% on every run.

Headline scores with 95% CI
IFEval strict 0.573 MATH-500 0.610 MMLU-Pro 0.712 01.0
vs frontier and budget references (published full-set numbers)
IFEval: us 0.57 GPT-5 nano 0.93 GPT-5.4 Pro 0.97 MMLU-Pro: us 0.71 DeepSeek V4 Flash 0.85 Claude Fable 5.1 0.92 MATH-500: us 0.61 DeepSeek V3 0.89 GPT-5 0.99 blue = space-bunny-free (our subsample/zero-shot runs) · purple = budget refs · gray = frontier (full-set, usually few-shot)
MMLU-Pro by category (n=32–36 each)
math 0.89 biology 0.86 chemistry 0.81 physics 0.81 business 0.78 comp-sci 0.78 psychology 0.75 health 0.69 philosophy 0.69 economics 0.64 engineering 0.64 history 0.62 other 0.61 law 0.39
BFCL prompted slice by category (n=8–9 each)
parallel 0.88 simple_java 0.75 irrelevance 0.62 simple_js 0.50 multiple 0.44 simple_py 0.44

How it was measured

Caveats