NVIDIA ComputeEval - CCCL: leaderboard

NVIDIA ComputeEval zero-shot pass@1 on the 80 CCCL problems of the 2026.1 release: Thrust, CUB and libcu++ parallel algorithms, graded by held-out compile-and-run tests.

Metric: Pass@1 (%, zero-shot, 2026.1 release, 80 problems). Source: huggingface.co. Saturation forecast: Around February 2027. 20 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.6 (High)90#67 (Claude Opus 4.6)
2GPT-5.4 (Medium)88.8#83 (GPT-5.4)
3Claude Opus 4.6 (Medium)88.8#67 (Claude Opus 4.6)
4GPT-5.4 (High)85#83 (GPT-5.4)
5Claude Sonnet 4.6 (High)82.5#94 (Claude Sonnet 4.6)
6Gemini 3.1 Flash Lite (Medium)82.5#200 (Gemini 3.1 Flash Lite)
7GLM-5 (Thinking)81.3#149 (GLM-5)
8Gemini 3.1 Flash Lite (High)80#200 (Gemini 3.1 Flash Lite)
9Claude Sonnet 4.6 (Medium)78.8#94 (Claude Sonnet 4.6)
10Kimi K2.5 (Thinking)77.5#152 (Kimi K2.5)
11GPT-5 Mini (High)70#193 (GPT-5 Mini)
12GPT-5 Mini (Medium)70#193 (GPT-5 Mini)
13GPT-OSS-120B (High)68.8#346 (GPT-OSS-120B)
14GPT-OSS-120B (Medium)66.3#346 (GPT-OSS-120B)
15MiniMax-M2.558.8#316

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-cccl · How It Works · Data refreshed daily, snapshot 2026-11-05.