The Python subset of MultiPL-E: the original, untranslated HumanEval and MBPP problems, used as the harness's reference language.
unassessed
| Category | coding |
|---|---|
| Subcategory | multilingual code generation |
| Page status | active |
| Metric | pass@1 |
| Direction | higher_is_better |
| Unit | % |
| Dataset licence | MIT |
| Publisher | Northeastern University Programming Research Lab (nuprl) |
This subset is Python itself: the original HumanEval and MBPP function-completion problems that every other MultiPL-E language is translated from, run through the same execution harness as the translated languages. It exists so a model's in-language Python score can be compared directly against its scores on the translated languages, using one consistent harness and prompt style.
Function completion in Python: given the original signature, docstring and doctests, the model generates a function body, which is executed and checked against the original unit tests.
| Model | Provider | Score | Card as of |
|---|---|---|---|
| Claude Opus 4 | Anthropic | 95.5 | 2026-04 |
| Claude Opus 4.6 | Anthropic | 95.5 | 2026-04 |
| Claude Sonnet 4 | Anthropic | 93.2 | 2026-04 |
| Claude Sonnet 4.5 | Anthropic | 93.2 | 2026-04 |
| Claude Sonnet 4.5 (latest) | Anthropic | 93.2 | 2026-04 |
| DeepSeek R1 | DeepSeek | 92.8 | 2026-04 |
| DeepSeek R1 0528 | DeepSeek | 92.8 | 2026-04 |
| DeepSeek R1 0528 NVFP4 v2 | NVIDIA | 92.8 | 2026-04 |
| DeepSeek Reasoner | DeepSeek | 92.8 | 2026-04 |
| GPT-4.1 | OpenAI | 92.5 | 2026-04 |
| Gemini 2.5 Pro | Google DeepMind | 91.8 | 2026-04 |
| GPT-4o | OpenAI | 90.2 | 2026-04 |
| GPT-4o (2024-05-13) | OpenAI | 90.2 | 2026-04 |
| GPT-4o (2024-08-06) | OpenAI | 90.2 | 2026-04 |
| GPT-4o (2024-11-20) | OpenAI | 90.2 | 2026-04 |
| GPT-4o mini | OpenAI | 90.2 | 2026-04 |
| Qwen2.5 Coder 32B Instruct | Alibaba / Qwen Team | 88.5 | 2026-04 |
| Qwen2.5 Coder 32B Instruct AWQ | Alibaba / Qwen Team | 88.5 | 2026-04 |
| Gemma 4 31B | Google DeepMind | 84.1 | 2026-04 |
| gemma 4 31B it | Google DeepMind | 84.1 | 2026-04 |
| gemma 4 31B it GGUF | Unsloth | 84.1 | 2026-04 |
| Gemma 4 31B IT NVFP4 | NVIDIA | 84.1 | 2026-04 |
| Mistral Large (latest) | Mistral AI | 82.8 | 2026-04 |
| Mistral Large 2.1 | Mistral AI | 82.8 | 2026-04 |
| Mistral Large 3 | Mistral AI | 82.8 | 2026-04 |
| Gemma 4 26B | Google DeepMind | 82.5 | 2026-04 |
| Qwen2.5 Coder 14B Instruct | Alibaba / Qwen Team | 82.1 | 2026-04 |
| Codestral (latest) | Mistral AI | 81.5 | 2026-04 |
| Llama 3.3 70B Instruct NVFP4 | NVIDIA | 80.2 | 2026-04 |
| Llama-3.3-70B-Instruct | Meta | 80.2 | 2026-04 |
| phi 4 | Microsoft | 79.2 | 2026-04 |
| Phi 4 mini instruct | Microsoft | 79.2 | 2026-04 |
| Llama 3.1 70B | Meta | 78.5 | 2026-04 |
| Llama 3.1 70B Instruct | Meta | 78.5 | 2026-04 |
| Qwen2.5 Coder 7B Instruct | Alibaba / Qwen Team | 75.8 | 2026-04 |
| Qwen2.5 Coder 7B Instruct GPTQ Int4 | Alibaba / Qwen Team | 75.8 | 2026-04 |
| CodeLlama 34B Instruct hf | Meta | 68.5 | 2026-04 |