Mixtral 8B on MMMU: score, rank and what it means
Mixtral 8B scores 52.1 on MMMU, placing it #529 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 8B 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 8B sits at #529 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 34.8 points. The median model in this index scores 70.0, which puts Mixtral 8B below the midpoint.
Mistral AI models average 64.8 on this benchmark. Mixtral 8B is 12.7 points below that provider line, so it is a weaker result than the average Mistral AI model.
Among small open-weight models, the average is 52.4. Mixtral 8B is 0.3 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 52.1 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 $0.91 per million input tokens, Mixtral 8B 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 |
|---|---|---|---|---|
| Llama 3.1 Cerebras 7B | Cerebras | 32768 | $0.95 | 56.5 |
| Arctic 8B | Snowflake | 8192 | $0.65 | 52.4 |
| Llama 3 Modal 7B | Modal | 4096 | $0.88 | 55.2 |
| Llama 3 Novita 8B | Novita AI | 16384 | $0.99 | 55.5 |
| Mixtral 8B | Mistral AI | 8192 | $0.91 | 55.4 |
| Qwen3 1.5B | Alibaba Cloud | 4096 | $0.84 | 53.5 |
| Kimi K1.5 1.5B | Moonshot AI | 4096 | $0.75 | 53.2 |
Other benchmarks for Mixtral 8B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 62.0 | 502 | 16th | |
| GPQA Diamond | 52.3 | 498 | 17th | |
| SWE-bench Verified | 41.1 | 510 | 15th | |
| HumanEval | 58.6 | 516 | 14th | |
| MATH-500 | 56.3 | 504 | 16th | |
| AIME 2025 | 44.3 | 504 | 16th | |
| LiveCodeBench | 41.9 | 526 | 12th | |
| IFEval | 68.4 | 484 | 19th | |
| TruthfulQA | 61.4 | 515 | 14th | |
| HellaSwag | 71.5 | 510 | 15th | |
| Arena Elo | 1252.7 | 487 | 19th |
FAQ
What score does Mixtral 8B get on MMMU?
Mixtral 8B scores 52.1 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Mixtral 8B rank on MMMU?
It ranks #529 of 600 models, in the 12th percentile. The leader is GPT-5.2 Max at 86.9.
Is Mixtral 8B good at MMMU?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 8B cost?
Mixtral 8B costs $0.91 per million input tokens and $4.38 per million output tokens.