Mixtral Turbo Chat on MMMU: score, rank and what it means
Mixtral Turbo Chat scores 70.4 on MMMU, placing it #287 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.
Score distribution
The chart shows the top 10 models on MMMU, with Mixtral Turbo 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-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 4 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 5 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 6 | Grok 4 Pro | xAI | 1000000 | $19.00 | 85.4 |
| 7 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 8 | Claude Sonnet 4.5 Pro | Anthropic | 1000000 | $18.73 | 86.7 |
| 9 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 10 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
What this score means
On MMMU, Mixtral Turbo Chat sits at #287 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 16.5 points. The median model in this index scores 70.0, which puts Mixtral Turbo Chat above the midpoint.
Together AI models average 62.9 on this benchmark. Mixtral Turbo Chat is 7.5 points above that provider line, so it is a stronger result than the average Together AI model.
Among open-weight models, the average is 65.1. Mixtral Turbo Chat is 5.3 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 70.4 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 $3.02 per million input tokens, Mixtral Turbo Chat is below the median input price of $4.00 across the 600 models scored on MMMU. 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 |
|---|---|---|---|---|
| DBRX Chat | Databricks | 65536 | $3.07 | 71.7 |
| Llama 3 Anyscale Base | Anyscale | 65536 | $3.23 | 72.9 |
| Mistral Small 3 Chat | Mistral AI | 200000 | $3.54 | 73.7 |
| Mixtral Chat | Mistral AI | 65536 | $3.30 | 72.6 |
| Mixtral Turbo Chat | Together AI | 32768 | $3.02 | 71.7 |
| OLMo 2 Instruct | Allen Institute for AI | 32768 | $3.03 | 71.7 |
| DBRX Instruct | Databricks | 8192 | $3.21 | 72.4 |
Other benchmarks for Mixtral Turbo Chat
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 74.1 | 349 | 42th | |
| GPQA Diamond | 67.2 | 328 | 45th | |
| SWE-bench Verified | 58.2 | 354 | 41th | |
| HumanEval | 77.9 | 290 | 52th | |
| MATH-500 | 74.0 | 348 | 42th | |
| AIME 2025 | 65.3 | 336 | 44th | |
| LiveCodeBench | 64.1 | 315 | 48th | |
| IFEval | 80.2 | 330 | 45th | |
| TruthfulQA | 74.6 | 339 | 44th | |
| HellaSwag | 82.4 | 340 | 43th | |
| Arena Elo | 1366.8 | 328 | 45th |
FAQ
What score does Mixtral Turbo Chat get on MMMU?
Mixtral Turbo Chat scores 70.4 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Mixtral Turbo Chat rank on MMMU?
It ranks #287 of 600 models, in the 52nd percentile. The leader is GPT-5.2 Max at 86.9.
Is Mixtral Turbo Chat good at MMMU?
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 MMMU score calculated?
MMMU is a multimodal 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 Mixtral Turbo Chat cost?
Mixtral Turbo Chat costs $3.02 per million input tokens and $11.80 per million output tokens.