Zephyr on MMMU: score, rank and what it means
Zephyr scores 62.2 on MMMU, placing it #408 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 Zephyr 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, Zephyr sits at #408 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 24.7 points. The median model in this index scores 70.0, which puts Zephyr below the midpoint.
Hugging Face models average 51.0 on this benchmark. Zephyr is 11.2 points above that provider line, so it is a stronger result than the average Hugging Face model.
Among open-weight models, the average is 65.1. Zephyr is 2.9 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 62.2 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 $1.61 per million input tokens, Zephyr 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 |
|---|---|---|---|---|
| GPT-NeoX Instruct | EleutherAI | 16384 | $1.52 | 62.6 |
| Molmo Base | Allen Institute for AI | 4096 | $2.02 | 65.0 |
| Kimi K2 8B | Moonshot AI | 8192 | $1.86 | 64.7 |
| Nemotron Nano Base | NVIDIA | 8192 | $1.85 | 65.0 |
| Zephyr | Hugging Face | 8192 | $1.61 | 62.8 |
| Nova Lite Mini | Amazon | 16384 | $5.43 | 65.0 |
| DeepSeek-R1 7B | DeepSeek | 32768 | $1.79 | 63.0 |
Other benchmarks for Zephyr
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 68.8 | 408 | 32th | |
| GPQA Diamond | 60.5 | 400 | 33th | |
| SWE-bench Verified | 50.3 | 419 | 30th | |
| HumanEval | 65.9 | 432 | 28th | |
| MATH-500 | 65.3 | 418 | 30th | |
| AIME 2025 | 55.1 | 415 | 31th | |
| LiveCodeBench | 48.7 | 460 | 23th | |
| IFEval | 70.4 | 455 | 24th | |
| TruthfulQA | 67.8 | 417 | 31th | |
| HellaSwag | 76.3 | 423 | 30th | |
| Arena Elo | 1303.0 | 414 | 31th |
FAQ
What score does Zephyr get on MMMU?
Zephyr scores 62.2 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Zephyr rank on MMMU?
It ranks #408 of 600 models, in the 32nd percentile. The leader is GPT-5.2 Max at 86.9.
Is Zephyr 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 Zephyr cost?
Zephyr costs $1.61 per million input tokens and $6.84 per million output tokens.