Codestral 7B on HumanEval: score, rank and what it means
Codestral 7B scores 62.3 on HumanEval, placing it #465 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.
Score distribution
The chart shows the top 10 models on HumanEval, with Codestral 7B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | Gemini 3 Pro Pro | Google DeepMind | 200000 | $19.80 | 87.3 |
| 3 | o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| 4 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 5 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 6 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 7 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 8 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 9 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 10 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
What this score means
On HumanEval, Codestral 7B sits at #465 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 34.5 points. The median model in this index scores 77.4, which puts Codestral 7B below the midpoint.
Mistral AI models average 71.6 on this benchmark. Codestral 7B is 9.3 points below that provider line, so it is a weaker result than the average Mistral AI model.
Among small open-weight models, the average is 56.7. Codestral 7B is 5.6 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 62.3 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $1.05 per million input tokens, Codestral 7B is below the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Auto Nano | OpenRouter | 4096 | $2.83 | 57.1 |
| Kimi K2 1.5B | Moonshot AI | 4096 | $0.99 | 56.8 |
| QwQ 7B | Alibaba Cloud | 8192 | $1.11 | 58.1 |
| Firefunction Nano | Fireworks AI | 16384 | $3.07 | 58.1 |
| Codestral 7B | Mistral AI | 32768 | $1.05 | 57.0 |
| Kimi K1.5 7B | Moonshot AI | 8192 | $1.35 | 59.9 |
| Qwen3-Coder 7B | Alibaba Cloud | 32768 | $1.24 | 59.6 |
Other benchmarks for Codestral 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 60.2 | 526 | 12th | |
| GPQA Diamond | 54.0 | 480 | 20th | |
| SWE-bench Verified | 44.0 | 478 | 20th | |
| MATH-500 | 57.0 | 497 | 17th | |
| AIME 2025 | 42.8 | 525 | 13th | |
| LiveCodeBench | 48.0 | 465 | 23th | |
| IFEval | 69.0 | 473 | 21th | |
| TruthfulQA | 61.0 | 519 | 14th | |
| HellaSwag | 73.9 | 457 | 24th | |
| MMMU | 55.1 | 495 | 18th | |
| Arena Elo | 1243.9 | 500 | 17th |
FAQ
What score does Codestral 7B get on HumanEval?
Codestral 7B scores 62.3 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does Codestral 7B rank on HumanEval?
It ranks #465 of 600 models, in the 23rd percentile. The leader is GPT-5.2 Pro at 96.8.
Is Codestral 7B good at HumanEval?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.
How is the HumanEval score calculated?
HumanEval is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Codestral 7B cost?
Codestral 7B costs $1.05 per million input tokens and $5.23 per million output tokens.