NVIDIA ComputeEval: leaderboard

CUDA programming problems from NVIDIA, 127 at launch and 566 in the 2026.1 release, covering kernels, runtime APIs, CCCL, cuBLAS, GPU math libraries, cuDNN and cuTile in C++ and Python; pass@1 on held-out functional tests.

Metric: Pass@1 (%, zero-shot, 2026.1 release, 566 problems). Source: github.com. Source: huggingface.co. Saturation forecast: Around January 2027. 20 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.6 (High)70.7#63 (Claude Opus 4.6)
2Claude Opus 4.6 (Medium)68.6#63 (Claude Opus 4.6)
3GPT-5.4 (High)65.4#79 (GPT-5.4)
4Claude Sonnet 4.6 (High)65#90 (Claude Sonnet 4.6)
5GPT-5.4 (Medium)64.8#79 (GPT-5.4)
6Claude Sonnet 4.6 (Medium)62.9#90 (Claude Sonnet 4.6)
7Kimi K2.5 (Thinking)53.5#144 (Kimi K2.5)
8GPT-5 Mini (High)53#186 (GPT-5 Mini)
9GLM-5 (Thinking)51.4#141 (GLM-5)
10GPT-OSS-120B (High)50.7#341 (GPT-OSS-120B)
11GPT-5 Mini (Medium)49.6#186 (GPT-5 Mini)
12Gemini 3.1 Flash Lite (High)48.9#191 (Gemini 3.1 Flash Lite)
13Gemini 3.1 Flash Lite (Medium)48.4#191 (Gemini 3.1 Flash Lite)
14GPT-OSS-120B (Medium)47.3#341 (GPT-OSS-120B)
15GPT-OSS-20B (Medium)35.7#518 (GPT-OSS-20B)

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 · How It Works · Data refreshed daily, snapshot 2026-10-20.