Mixtral Turbo Base on MMLU-Pro: score, rank and what it means
Mixtral Turbo Base scores 70.7 on MMLU-Pro, placing it #390 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.
Score distribution
The chart shows the top 10 models on MMLU-Pro, with Mixtral Turbo Base highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 5 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 6 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 7 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On MMLU-Pro, Mixtral Turbo Base sits at #390 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 20.9 points. The median model in this index scores 76.1, which puts Mixtral Turbo Base below the midpoint.
Together AI models average 69.4 on this benchmark. Mixtral Turbo Base is 1.3 points above that provider line, so it is a stronger result than the average Together AI model.
Among open-weight models, the average is 72.1. Mixtral Turbo Base is 1.4 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 70.7 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 $2.53 per million input tokens, Mixtral Turbo Base is below the median input price of $4.00 across the 600 models scored on MMLU-Pro. 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 |
|---|---|---|---|---|
| Gemini 3 Flash Nano | Google DeepMind | 32768 | $7.56 | 69.4 |
| StableLM 2 | Stability AI | 8192 | $1.91 | 65.0 |
| Sonar Mini | Perplexity | 65536 | $6.52 | 67.9 |
| Mixtral Groq Base | Groq | 32768 | $2.66 | 68.4 |
| Mixtral Turbo Base | Together AI | 32768 | $2.53 | 69.7 |
| Nemotron Nano Chat | NVIDIA | 32768 | $2.21 | 66.2 |
| Embed 4 Turbo | Cohere | 4096 | $5.13 | 64.0 |
Other benchmarks for Mixtral Turbo Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| GPQA Diamond | 63.7 | 380 | 37th | |
| SWE-bench Verified | 57.9 | 356 | 41th | |
| HumanEval | 72.9 | 374 | 38th | |
| MATH-500 | 74.0 | 347 | 42th | |
| AIME 2025 | 61.5 | 378 | 37th | |
| LiveCodeBench | 62.1 | 347 | 42th | |
| IFEval | 79.5 | 343 | 43th | |
| TruthfulQA | 74.2 | 349 | 42th | |
| HellaSwag | 82.8 | 327 | 46th | |
| MMMU | 67.9 | 344 | 43th | |
| Arena Elo | 1355.8 | 354 | 41th |
FAQ
What score does Mixtral Turbo Base get on MMLU-Pro?
Mixtral Turbo Base scores 70.7 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.
How does Mixtral Turbo Base rank on MMLU-Pro?
It ranks #390 of 600 models, in the 35th percentile. The leader is GPT-5.2 Pro at 91.6.
Is Mixtral Turbo Base good at MMLU-Pro?
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 MMLU-Pro score calculated?
MMLU-Pro is a knowledge 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 Base cost?
Mixtral Turbo Base costs $2.53 per million input tokens and $10.80 per million output tokens.