xMMMU
Vision language models answer college-level MMMU questions translated into 7 languages. Scored by accuracy.
Released as part of PangeaBench with the Pangea model.
- Released
- October 2024
- Kind
- General visual questions
- Level
- University
- Scored
- Checked automatically
- Answers
- Multiple choice
- Tasks
- All public
- Last in a system card
- May 2025
- Last model added
- May 2025
- Scores refreshed
- November 12th, 2026
GPT4o (snapshot unspecified) tops the leaderboard with 58.3%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders. The best model we track is Llama 3.2 11B, at 41.4%.
Aya Vision 32B leads with 45.1%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
The newest model with a score here came out in September 2024, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 58.3 GPT4o (snapshot unspecified)
- 57.7 Gemini-1.5-Pro (snapshot unspecified)
- 43.7 Pangea-7B (Ours)
- 41.4
Llama 3.2 11B
- 41.0
LLaVA-OneVision 7B
- 40.4
Molmo-7B-D
- 38.8 Phi-3.5-vision-instruct
- 34.3 Llava-Next-7B
- 33.2
Cambrian-1-8B
- 31.5 Llava-1.5-7B
- 30.8 mBLIP BLOOMZ
- 30.5 PALO-7B
- 30.4 mBLIP mT0-XL
- 25.2 PaliGemma-3B
- 1 GPT4o (snapshot unspecified) 58.3%
- 2 Gemini-1.5-Pro (snapshot unspecified) 57.7%
- 3 Pangea-7B (Ours) 43.7%
- 4
Llama 3.2 11B 41.4%
- 5
LLaVA-OneVision 7B 41%
- 6
Molmo-7B-D 40.4%
- 7 Phi-3.5-vision-instruct 38.8%
- 8 Llava-Next-7B 34.3%
- 9
Cambrian-1-8B 33.2%
- 10 Llava-1.5-7B 31.5%
- 11 mBLIP BLOOMZ 30.8%
- 12 PALO-7B 30.5%
- 13 mBLIP mT0-XL 30.4%
- 14 PaliGemma-3B 25.2%
Source: Official xMMMU leaderboard
- 1
Aya Vision 32B 45.1%
- 2
Llama 3.2 11B 41.4%
- 3
LLaVA-OneVision 7B 41%
- 4
Molmo-7B-D 40.4%
- 5 Phi-3.5-vision-instruct 38.8%
- 6
Cambrian-1-8B 33.2%
Sources: Labs’ model cards and official xMMMU leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT4o (snapshot unspecified) | 58.3% | Official leaderboard | ||
| 2 | Gemini-1.5-Pro (snapshot unspecified) | 57.7% | Official leaderboard | ||
| 3 | Pangea-7B (Ours) | 43.7% | Official leaderboard | ||
| 4 | | 41.4% | Sep 2024 | Official leaderboard | |
| 5 | | 41% | Aug 2024 | Official leaderboard | |
| 6 | | 40.4% | Sep 2024 | Official leaderboard | |
| 7 | Phi-3.5-vision-instruct | 38.8% | Aug 2024 | Official leaderboard | |
| 8 | Llava-Next-7B | 34.3% | Official leaderboard | ||
| 9 | | 33.2% | Jun 2024 | Official leaderboard | |
| 10 | Llava-1.5-7B | 31.5% | Official leaderboard | ||
| 11 | mBLIP BLOOMZ | 30.8% | Official leaderboard | ||
| 12 | PALO-7B | 30.5% | Official leaderboard | ||
| 13 | mBLIP mT0-XL | 30.4% | Official leaderboard | ||
| 14 | PaliGemma-3B | 25.2% | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 45.1% | May 2025 | Lab model card | |
| 2 | | 41.4% | Sep 2024 | Official leaderboard | |
| 3 | | 41% | Aug 2024 | Official leaderboard | |
| 4 | | 40.4% | Sep 2024 | Official leaderboard | |
| 5 | Phi-3.5-vision-instruct | 38.8% | Aug 2024 | Official leaderboard | |
| 6 | | 33.2% | Jun 2024 | Official leaderboard |
Labs report scores for 1 model in their cards. Switch the scores above to rank them together.
Number one over time 2 models have held number one with claims included since its release in October 2024
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official xMMMU leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official xMMMU leaderboard and labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| May 13, 2025 | | 45.1 | xMMMU, Aya Vision languages (Table 4) | Capabilities |
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