Auto Turbo on MMLU-Pro: score, rank and what it means
Auto Turbo scores 76.0 on MMLU-Pro, placing it #305 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 Auto Turbo 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, Auto Turbo sits at #305 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 15.6 points. The median model in this index scores 76.1, which puts Auto Turbo below the midpoint.
OpenRouter models average 72.7 on this benchmark. Auto Turbo is 3.3 points above that provider line, so it is a stronger result than the average OpenRouter model.
Among mid-range models, the average is 71.5. Auto Turbo is 4.5 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 76.0 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 $7.96 per million input tokens, Auto Turbo is above 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 |
|---|---|---|---|---|
| Command R+ Base | Cohere | 65536 | $3.24 | 71.6 |
| GLM-4.5 Base | Zhipu AI | 32768 | $3.99 | 74.9 |
| Mixtral Chat | Mistral AI | 65536 | $3.30 | 72.6 |
| Phi-3.5 | Microsoft | 16384 | $2.81 | 70.9 |
| Auto Turbo | OpenRouter | 65536 | $7.96 | 70.9 |
| Firefunction | Fireworks AI | 16384 | $8.16 | 72.3 |
| Fusion Turbo | OpenRouter | 8192 | $8.55 | 71.7 |
Other benchmarks for Auto Turbo
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| GPQA Diamond | 69.1 | 291 | 52th | |
| SWE-bench Verified | 57.1 | 365 | 39th | |
| HumanEval | 75.7 | 332 | 45th | |
| MATH-500 | 71.2 | 377 | 37th | |
| AIME 2025 | 64.8 | 340 | 43th | |
| LiveCodeBench | 60.2 | 366 | 39th | |
| IFEval | 80.7 | 318 | 47th | |
| TruthfulQA | 71.7 | 383 | 36th | |
| HellaSwag | 83.9 | 283 | 53th | |
| MMMU | 70.0 | 301 | 50th | |
| Arena Elo | 1345.5 | 371 | 38th |
FAQ
What score does Auto Turbo get on MMLU-Pro?
Auto Turbo scores 76.0 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.
How does Auto Turbo rank on MMLU-Pro?
It ranks #305 of 600 models, in the 49th percentile. The leader is GPT-5.2 Pro at 91.6.
Is Auto Turbo 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 Auto Turbo cost?
Auto Turbo costs $7.96 per million input tokens and $33.26 per million output tokens.