NVIDIA ComputeEval - cuBLAS: leaderboard

NVIDIA ComputeEval zero-shot pass@1 on the 81 cuBLAS problems of the 2026.1 release: BLAS levels 1-3, extensions and applications in cuBLAS, graded by held-out compile-and-run tests.

Metric: Pass@1 (%, zero-shot, 2026.1 release, 81 problems). Source: huggingface.co. Saturation forecast: Estimated already saturated. 20 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.6 (High)98.8#94 (Claude Sonnet 4.6)
2Claude Opus 4.6 (High)96.3#67 (Claude Opus 4.6)
3Claude Opus 4.6 (Medium)96.3#67 (Claude Opus 4.6)
4GPT-5.4 (High)95.1#83 (GPT-5.4)
5Claude Sonnet 4.6 (Medium)95.1#94 (Claude Sonnet 4.6)
6GPT-5.4 (Medium)93.8#83 (GPT-5.4)
7Kimi K2.5 (Thinking)91.4#152 (Kimi K2.5)
8GPT-5 Mini (High)87.7#193 (GPT-5 Mini)
9GPT-OSS-120B (High)85.2#346 (GPT-OSS-120B)
10Gemini 3.1 Flash Lite (High)84#200 (Gemini 3.1 Flash Lite)
11GLM-5 (Thinking)82.7#149 (GLM-5)
12GPT-OSS-120B (Medium)81.5#346 (GPT-OSS-120B)
13GPT-5 Mini (Medium)81.5#193 (GPT-5 Mini)
14Gemini 3.1 Flash Lite (Medium)80.2#200 (Gemini 3.1 Flash Lite)
15GPT-OSS-20B (Medium)69.1#523 (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-cublas · How It Works · Data refreshed daily, snapshot 2026-11-05.