Magistral Chat on MATH-500: score, rank and what it means
Magistral Chat scores 83.8 on MATH-500, placing it #128 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.
Score distribution
The chart shows the top 10 models on MATH-500, with Magistral Chat highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 2 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 3 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 4 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
| 5 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 6 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 7 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 8 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 9 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 10 | Claude Opus 4.5 Turbo | Anthropic | 2000000 | $19.57 | 85.7 |
What this score means
On MATH-500, Magistral Chat sits at #128 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 12.9 points. The median model in this index scores 76.0, which puts Magistral Chat above the midpoint.
Mistral AI models average 69.1 on this benchmark. Magistral Chat is 14.7 points above that provider line, so it is a stronger result than the average Mistral AI model.
Among multimodal models, the average is 81.3. Magistral Chat is 2.5 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 83.8 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 $4.33 per million input tokens, Magistral Chat is above the median input price of $4.00 across the 600 models scored on MATH-500. 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 |
|---|---|---|---|---|
| QwQ Instruct | Alibaba Cloud | 65536 | $4.62 | 79.0 |
| Sonar Pro Turbo | Perplexity | 128000 | $13.55 | 79.0 |
| Qwen3 Base | Alibaba Cloud | 65536 | $4.33 | 77.4 |
| GLM-4.6 Base | Zhipu AI | 128000 | $4.53 | 78.5 |
| Magistral Chat | Mistral AI | 128000 | $4.33 | 76.8 |
| Nova Pro Max | Amazon | 1000000 | $14.05 | 81.2 |
| Reka Core | Reka AI | 32768 | $12.17 | 77.4 |
Other benchmarks for Magistral Chat
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 77.9 | 246 | 59th | |
| GPQA Diamond | 72.3 | 214 | 64th | |
| SWE-bench Verified | 64.5 | 222 | 63th | |
| HumanEval | 81.3 | 207 | 66th | |
| AIME 2025 | 73.7 | 192 | 68th | |
| LiveCodeBench | 67.5 | 238 | 60th | |
| IFEval | 83.5 | 231 | 62th | |
| TruthfulQA | 82.3 | 124 | 79th | |
| HellaSwag | 86.1 | 213 | 65th | |
| MMMU | 72.0 | 246 | 59th | |
| Arena Elo | 1397.1 | 217 | 64th |
FAQ
What score does Magistral Chat get on MATH-500?
Magistral Chat scores 83.8 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.
How does Magistral Chat rank on MATH-500?
It ranks #128 of 600 models, in the 79th percentile. The leader is GPT-5.2 Max at 96.7.
Is Magistral Chat good at MATH-500?
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 MATH-500 score calculated?
MATH-500 is a mathematics 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 Magistral Chat cost?
Magistral Chat costs $4.33 per million input tokens and $16.06 per million output tokens.