NVIDIA ComputeEval - cuDNN: leaderboard

NVIDIA ComputeEval zero-shot pass@1 on the 113 cuDNN problems of the 2026.1 release: convolution, attention, matmul and normalization graphs through the cuDNN Graph API, graded by held-out compile-and-run tests.

Metric: Pass@1 (%, zero-shot, 2026.1 release, 113 problems). Source: huggingface.co. Saturation forecast: Around February 2027. 20 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.6 (High)41.6#67 (Claude Opus 4.6)
2Claude Opus 4.6 (Medium)36.3#67 (Claude Opus 4.6)
3Claude Sonnet 4.6 (High)20.4#94 (Claude Sonnet 4.6)
4Claude Sonnet 4.6 (Medium)17.7#94 (Claude Sonnet 4.6)
5GPT-5.4 (Medium)13.3#83 (GPT-5.4)
6GPT-5.4 (High)12.4#83 (GPT-5.4)
7GPT-5 Mini (High)3.5#193 (GPT-5 Mini)
8MiniMax-M2.52.7#316
9GPT-OSS-20B (Medium)2.7#523 (GPT-OSS-20B)
10GPT-5 Mini (Medium)2.7#193 (GPT-5 Mini)
11GPT-OSS-20B (High)1.8#523 (GPT-OSS-20B)
12Kimi K2.5 (Thinking)1.8#152 (Kimi K2.5)
13GPT-OSS-120B (High)1.8#346 (GPT-OSS-120B)
14GPT-OSS-120B (Medium)1.8#346 (GPT-OSS-120B)
15Gemini 3.1 Flash Lite (Medium)1.8#200 (Gemini 3.1 Flash Lite)

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

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