Mistral Small 3 7B on SWE-bench Verified: score, rank and what it means
Mistral Small 3 7B scores 43.1 on SWE-bench Verified, placing it #490 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.
Score distribution
The chart shows the top 10 models on SWE-bench Verified, with Mistral Small 3 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 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 3 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 4 | Claude Sonnet 4.5 Max | Anthropic | 1000000 | $19.90 | 87.2 |
| 5 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 6 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 7 | o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| 8 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 9 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 10 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
What this score means
On SWE-bench Verified, Mistral Small 3 7B sits at #490 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 38.6 points. The median model in this index scores 61.0, which puts Mistral Small 3 7B below the midpoint.
Mistral AI models average 54.7 on this benchmark. Mistral Small 3 7B is 11.6 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 39.0. Mistral Small 3 7B is 4.1 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 43.1 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 $0.89 per million input tokens, Mistral Small 3 7B is below the median input price of $4.00 across the 600 models scored on SWE-bench Verified. 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 |
|---|---|---|---|---|
| Llama 3.3 7B | Meta AI | 8192 | $1.18 | 57.8 |
| Qwen3-Coder 7B | Alibaba Cloud | 32768 | $1.24 | 59.6 |
| Pythia Base | EleutherAI | 16384 | $0.99 | 55.9 |
| Llama 3 Baseten 7B | Baseten | 32768 | $0.87 | 55.3 |
| Mistral Small 3 7B | Mistral AI | 4096 | $0.89 | 55.2 |
| Llama 3 DeepInfra 8B | DeepInfra | 8192 | $1.05 | 57.4 |
| MiniMax-M2 1.5B | MiniMax | 16384 | $0.84 | 54.6 |
Other benchmarks for Mistral Small 3 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 58.8 | 540 | 10th | |
| GPQA Diamond | 48.9 | 535 | 11th | |
| HumanEval | 60.5 | 496 | 17th | |
| MATH-500 | 55.6 | 513 | 15th | |
| AIME 2025 | 47.4 | 474 | 21th | |
| LiveCodeBench | 44.1 | 507 | 16th | |
| IFEval | 65.8 | 522 | 13th | |
| TruthfulQA | 60.6 | 523 | 13th | |
| HellaSwag | 72.1 | 494 | 18th | |
| MMMU | 50.8 | 546 | 9th | |
| Arena Elo | 1246.3 | 496 | 17th |
FAQ
What score does Mistral Small 3 7B get on SWE-bench Verified?
Mistral Small 3 7B scores 43.1 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.
How does Mistral Small 3 7B rank on SWE-bench Verified?
It ranks #490 of 600 models, in the 18th percentile. The leader is GPT-5.2 Pro at 81.7.
Is Mistral Small 3 7B good at SWE-bench Verified?
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 SWE-bench Verified score calculated?
SWE-bench Verified 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 Mistral Small 3 7B cost?
Mistral Small 3 7B costs $0.89 per million input tokens and $4.71 per million output tokens.