KernelBench Hard: leaderboard

KernelBench Hard is a text-only benchmark for autonomous coding agents on GPU kernel engineering tasks. It assesses correctness and speed against hardware baselines. The pinned metric, Mean Peak Fraction Across Problems, measures performance as a ratio relative to the problem peak across the suite. Source: BenchmarkList’s attributed result table.

Metric: Mean Peak Fraction Across Problems (ratio). Source: benchmarklist.com. Saturation forecast: Not forecast. 63 models tracked.

Top models

#ModelScoreOverall rank
1GLM-5.20.25#80
2DeepSeek V4 Pro0.23#112
3Claude Opus 4.80.22#39
4Grok 4.6 (xHigh)0.22#29 (Grok 4.6)
5Claude Opus 5 (Max)0.22#16 (Claude Opus 5)
6Claude Fable 5 (Max)0.21#20 (Claude Fable 5)
7DeepSeek V4.1 Flash (1017)0.21#27
8Kimi K30.21#35
9Claude Fable 50.21#20
10GLM-5.30.18#44
11DeepSeek V4 Flash (0731)0.18#84
12MiniMax-M30.17#151
13Qwen 3.8 Max (xHigh)0.16#34 (Qwen 3.8 Max)
14GPT-5.6 Sol (xHigh)0.15#22 (GPT-5.6 Sol)
15GPT-5.5 (xHigh)0.14#33 (GPT-5.5)

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=kernelbench-hard · How It Works · Data refreshed daily, snapshot 2026-11-05.