Qwen3-Max on MMMU: score, rank and what it means
Qwen3-Max scores 78.7 on MMMU, placing it #81 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 Qwen3-Max 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, Qwen3-Max sits at #81 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 8.2 points. The median model in this index scores 70.0, which puts Qwen3-Max above the midpoint.
Alibaba Cloud models average 69.4 on this benchmark. Qwen3-Max is 9.3 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.
Among frontier models, the average is 81.6. Qwen3-Max 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 78.7 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 $17.37 per million input tokens, Qwen3-Max is above 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 |
|---|---|---|---|---|
| Sonar Pro Pro | Perplexity | 200000 | $13.59 | 79.7 |
| Claude 3.7 Sonnet Max | Anthropic | 128000 | $16.88 | 83.7 |
| Qwen3-Max Turbo | Alibaba Cloud | 1000000 | $17.70 | 84.7 |
| Qwen3 Instruct | Alibaba Cloud | 1000000 | $5.06 | 79.8 |
| Qwen3-Max | Alibaba Cloud | 400000 | $17.37 | 84.4 |
| Gemini 3 Pro | Google DeepMind | 2000000 | $18.24 | 86.1 |
| Kimi K1.5 Instruct | Moonshot AI | 200000 | $5.15 | 80.5 |
Other benchmarks for Qwen3-Max
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 84.0 | 83 | 86th | |
| GPQA Diamond | 82.3 | 26 | 96th | |
| SWE-bench Verified | 73.3 | 62 | 90th | |
| HumanEval | 88.5 | 66 | 89th | |
| MATH-500 | 89.7 | 53 | 91th | |
| AIME 2025 | 81.1 | 74 | 88th | |
| LiveCodeBench | 82.2 | 24 | 96th | |
| IFEval | 92.5 | 31 | 95th | |
| TruthfulQA | 83.4 | 99 | 84th | |
| HellaSwag | 92.9 | 25 | 96th | |
| Arena Elo | 1449.2 | 74 | 88th |
FAQ
What score does Qwen3-Max get on MMMU?
Qwen3-Max scores 78.7 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Qwen3-Max rank on MMMU?
It ranks #81 of 600 models, in the 87th percentile. The leader is GPT-5.2 Max at 86.9.
Is Qwen3-Max 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 Qwen3-Max cost?
Qwen3-Max costs $17.37 per million input tokens and $94.30 per million output tokens.