HumanEval Multi
DeepSeek-V3 82.6% leads since December 2024 Models complete HumanEval problems in Python and seven more languages, including C++, Java, PHP, and Bash. Unit tests score pass@1.
The non-Python versions come from MultiPL-E translations.
- Made by
- DeepSeek-AI
- Released
- November 2023
- Kind
- Function-level problems
- Level
- School
- Scored
- Checked automatically
- Answers
- Code
- Tasks
- All public
- Strongest model tested
- DeepSeek-V3 #154 on the capability index
- Last in a launch post
- January 2025, dropped before it saturated
- Last model added
- January 2025
DeepSeek-V3 leads with 82.6% among models released by January 2025
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in January 2025, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon - GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1 DeepSeek-V3 82.6%
- 2 Kimi k1.5 81.5%
- 3 DeepSeek-V2.5 Sep 2024 73.8%
- 4
Codestral 71.4% - 5 DeepSeek LLM 67B 53.3%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | DeepSeek-V3 | 82.6% | Dec 2024 | Lab model card | |
| 2 | Kimi k1.5 | 81.5% | Jan 2025 | Lab model card | |
| 3 | DeepSeek-V2.5 Sep 2024 | 73.8% | Sep 2024 | Lab model card | |
| 4 | Codestral | 71.4% | Jan 2025 | Lab model card | |
| 5 | DeepSeek LLM 67B | 53.3% | Jan 2024 | Lab model card |
3 models have held number one in labs’ own numbers since its release in November 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
No launch post has listed it since January 2025
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Jan 20, 2025 | Kimi k1.5 | 81.5 | HumanEval-Mul (Pass@1), short-CoT |
| Jan 13, 2025 | Codestral | 71.4 | HumanEval (average on several languages) |
| Dec 26, 2024 | DeepSeek-V3 | 82.6 | HumanEval-Mul (Pass@1) |
| Sep 5, 2024 | DeepSeek-V2.5 | 73.8 | HumanEval Multi |
3 system cards report it, from 2 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Jan 20, 2025 | Kimi k1.5 technical report | 81.5 | HumanEval-Mul (Pass@1), short-CoT (Table 3) | Capabilities |
| Dec 26, 2024 | DeepSeek-V3 technical report | 82.6 | HumanEval-Mul (Pass@1), DeepSeek-V3 (Table 6) | Capabilities |
| Jan 5, 2024 | DeepSeek LLM 67B technical report | 53.3 | HumanEval Multilingual, DeepSeek-LLM-Chat 67B (Table 15) | Capabilities |
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- SWE-bench Multilingual In use 300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests. Claude Fable 5.2 96.6%
- DeepSWE In use 113 original long-horizon engineering tasks across 91 repos and five languages, written from scratch. Hand-written verifiers accept alternative solutions. GPT-6 Astra 74.1%
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