Mistral Large 3 Base on GPQA Diamond: score, rank and what it means
Mistral Large 3 Base scores 75.5 on GPQA Diamond, placing it #132 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 Base 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 Base sits at #132 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 11.5 points. The median model in this index scores 68.8, which puts Mistral Large 3 Base above the midpoint.
Mistral AI models average 63.3 on this benchmark. Mistral Large 3 Base is 12.2 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 Base is 2.0 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 75.5 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 $4.47 per million input tokens, Mistral Large 3 Base 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 |
|---|---|---|---|---|
| Claude Haiku 4.5 Pro | Anthropic | 1000000 | $15.07 | 80.8 |
| ERNIE 4.5 Reasoning | Baidu | 1000000 | $14.36 | 79.8 |
| Gemini 3 Flash Vision | Google DeepMind | 400000 | $15.06 | 81.9 |
| MiniMax-Text | MiniMax | 32768 | $4.44 | 77.0 |
| Mistral Large 3 Base | Mistral AI | 65536 | $4.47 | 78.2 |
| Doubao 1.5 Pro Turbo | ByteDance | 128000 | $13.81 | 79.4 |
| Grok 4 Mini | xAI | 65536 | $12.21 | 77.9 |
Other benchmarks for Mistral Large 3 Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 78.9 | 214 | 64th | |
| SWE-bench Verified | 64.3 | 227 | 62th | |
| HumanEval | 85.0 | 118 | 80th | |
| MATH-500 | 84.5 | 116 | 81th | |
| AIME 2025 | 70.8 | 241 | 60th | |
| LiveCodeBench | 72.3 | 143 | 76th | |
| IFEval | 83.3 | 237 | 61th | |
| TruthfulQA | 81.0 | 157 | 74th | |
| HellaSwag | 88.3 | 131 | 78th | |
| MMMU | 75.8 | 142 | 76th | |
| Arena Elo | 1420.3 | 148 | 75th |
FAQ
What score does Mistral Large 3 Base get on GPQA Diamond?
Mistral Large 3 Base scores 75.5 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Mistral Large 3 Base rank on GPQA Diamond?
It ranks #132 of 600 models, in the 78th percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Mistral Large 3 Base 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 Base cost?
Mistral Large 3 Base costs $4.47 per million input tokens and $23.57 per million output tokens.