Mistral Large 3 Chat on GPQA Diamond: score, rank and what it means
Mistral Large 3 Chat scores 75.9 on GPQA Diamond, placing it #123 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.
Score distribution
The chart shows the top 10 models on GPQA Diamond, with Mistral Large 3 Chat highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 5 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 6 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 7 | o4 Turbo | OpenAI | 2000000 | $19.34 | 86.6 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 10 | Claude Sonnet 4.5 Max | Anthropic | 1000000 | $19.90 | 87.2 |
What this score means
On GPQA Diamond, Mistral Large 3 Chat sits at #123 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 11.1 points. The median model in this index scores 68.8, which puts Mistral Large 3 Chat above the midpoint.
Mistral AI models average 63.3 on this benchmark. Mistral Large 3 Chat is 12.6 points above that provider line, so it is a stronger result than the average Mistral AI model.
Among multimodal models, the average is 73.5. Mistral Large 3 Chat is 2.4 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 75.9 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 $4.90 per million input tokens, Mistral Large 3 Chat is above the median input price of $4.00 across the 600 models scored on GPQA Diamond. 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 |
|---|---|---|---|---|
| GPT-4.1 Turbo | OpenAI | 1000000 | $16.12 | 82.9 |
| Kimi K2 Base | Moonshot AI | 65536 | $4.82 | 79.2 |
| Llama 4 Scout Instruct | Meta AI | 32768 | $4.59 | 79.1 |
| Hunyuan-Turbo Pro | Tencent | 65536 | $12.00 | 77.6 |
| Mistral Large 3 Chat | Mistral AI | 1000000 | $4.90 | 79.1 |
| GLM-4.6 Instruct | Zhipu AI | 1000000 | $5.15 | 80.4 |
| Hunyuan-Turbo Max | Tencent | 128000 | $12.40 | 78.3 |
Other benchmarks for Mistral Large 3 Chat
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 83.3 | 101 | 83th | |
| SWE-bench Verified | 67.1 | 167 | 72th | |
| HumanEval | 85.0 | 119 | 80th | |
| MATH-500 | 81.6 | 175 | 71th | |
| AIME 2025 | 74.1 | 178 | 70th | |
| LiveCodeBench | 73.0 | 128 | 79th | |
| IFEval | 86.6 | 143 | 76th | |
| TruthfulQA | 80.2 | 173 | 71th | |
| HellaSwag | 87.1 | 174 | 71th | |
| MMMU | 76.6 | 121 | 80th | |
| Arena Elo | 1414.2 | 172 | 71th |
FAQ
What score does Mistral Large 3 Chat get on GPQA Diamond?
Mistral Large 3 Chat scores 75.9 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Mistral Large 3 Chat rank on GPQA Diamond?
It ranks #123 of 600 models, in the 80th percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Mistral Large 3 Chat good at GPQA Diamond?
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 GPQA Diamond score calculated?
GPQA Diamond is a reasoning 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 Large 3 Chat cost?
Mistral Large 3 Chat costs $4.90 per million input tokens and $20.04 per million output tokens.