Mistral Small 3 Chat on LiveCodeBench: score, rank and what it means
Mistral Small 3 Chat scores 67.6 on LiveCodeBench, placing it #235 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.
Score distribution
The chart shows the top 10 models on LiveCodeBench, with Mistral Small 3 Chat highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 2 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 3 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 6 | GPT-5.1 Turbo | OpenAI | 2000000 | $19.19 | 86.1 |
| 7 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 8 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 9 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On LiveCodeBench, Mistral Small 3 Chat sits at #235 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 17.5 points. The median model in this index scores 64.7, which puts Mistral Small 3 Chat above the midpoint.
Mistral AI models average 58.1 on this benchmark. Mistral Small 3 Chat is 9.5 points above that provider line, so it is a stronger result than the average Mistral AI model.
Among multimodal models, the average is 70.3. Mistral Small 3 Chat is 2.7 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 67.6 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 $3.54 per million input tokens, Mistral Small 3 Chat is below the median input price of $4.00 across the 600 models scored on LiveCodeBench. 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 3.1 Cerebras Base | Cerebras | 65536 | $3.36 | 72.7 |
| o4 Mini | OpenAI | 200000 | $11.92 | 77.7 |
| Command R+ Instruct | Cohere | 200000 | $4.16 | 76.2 |
| Llama 4 Scout Base | Meta AI | 32768 | $3.95 | 75.3 |
| Mistral Small 3 Chat | Mistral AI | 200000 | $3.54 | 73.7 |
| Reka Flash | Reka AI | 128000 | $9.95 | 74.1 |
| Seed-OSS | ByteDance | 32768 | $3.74 | 75.3 |
Other benchmarks for Mistral Small 3 Chat
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 76.7 | 286 | 52th | |
| GPQA Diamond | 68.2 | 310 | 48th | |
| SWE-bench Verified | 61.6 | 291 | 52th | |
| HumanEval | 80.1 | 231 | 62th | |
| MATH-500 | 75.2 | 322 | 46th | |
| AIME 2025 | 66.9 | 315 | 48th | |
| IFEval | 82.9 | 247 | 59th | |
| TruthfulQA | 78.8 | 226 | 62th | |
| HellaSwag | 82.6 | 333 | 45th | |
| MMMU | 70.4 | 285 | 53th | |
| Arena Elo | 1387.4 | 257 | 57th |
FAQ
What score does Mistral Small 3 Chat get on LiveCodeBench?
Mistral Small 3 Chat scores 67.6 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does Mistral Small 3 Chat rank on LiveCodeBench?
It ranks #235 of 600 models, in the 61st percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is Mistral Small 3 Chat good at LiveCodeBench?
Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.
How is the LiveCodeBench score calculated?
LiveCodeBench 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 Chat cost?
Mistral Small 3 Chat costs $3.54 per million input tokens and $16.77 per million output tokens.