MM-MT-Bench
Qwen3-VL-235B-A22B 8.50 leads since Sep 2025 Dropped Models hold multi-turn conversations about images such as charts, documents and photos. GPT-4o grades each answer against a reference on a 1 to 10 scale.
Released with Pixtral 12B. Mistral and Qwen VL reports both use it.
- Level
- Everyday Most adults, without training
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
Qwen3-VL-235B-A22B leads with 8.50 among models released by Jan 2026
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in Jan 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 1 Qwen3-VL-235B-A22B 8.50
- 2
STEP3-VL-10B 8.14 - 3 Qwen2.5-VL-72B 7.60
- 4 Qwen3-Omni-30B-A3B 7.40
- 5
Mistral Small 3.1 7.30 - 6 Qwen2.5-Omni-7B 6.00
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Qwen3-VL-235B-A22B | 8.50 | Sep 2025 | Model card | |
| 2 | STEP3-VL-10B | 8.14 | Jan 2026 | Model card | |
| 3 | Qwen2.5-VL-72B | 7.60 | Feb 2025 | Model card | |
| 4 | Qwen3-Omni-30B-A3B | 7.40 | Sep 2025 | Model card | |
| 5 | Mistral Small 3.1 | 7.30 | Mar 2025 | Model card | |
| 6 | Qwen2.5-Omni-7B | 6.00 | Mar 2025 | Model card |
2 models have held number one since its release in Oct 2024
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No launch post has listed it since Sep 2025
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 23 Sep 2025 | Qwen3-VL-235B-A22B | 8.5 | MM_MT_Bench |
| 22 Sep 2025 | Qwen3-Omni-30B-A3B | 7.4 | MM-MT-Bench |
| 27 Mar 2025 | Qwen2.5-Omni-7B | 6 | MM-MT-Bench |
| 17 Mar 2025 | Mistral Small 3.1 | 7.3 | MM MT Bench |
5 system cards report it, from 2 labs
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 |
|---|---|---|---|---|
| 14 Jan 2026 | STEP3-VL-10B technical report | 8.14 | MM-MT-Bench, SeRe (Table 1) | Capabilities |
| 26 Nov 2025 | Qwen3-VL-235B-A22B technical report | 8.5 | MM-MT-Bench (Table 2) | Capabilities |
| 22 Sep 2025 | Qwen3-Omni-30B-A3B technical report | 7.4 | MM-MT-Bench, Instruct (Table 9). Thinking 8.0 (Table 10) | Capabilities |
| 26 Mar 2025 | Qwen2.5-Omni-7B technical report | 6 | MM-MT-Bench (Table 5) | Capabilities |
| 19 Feb 2025 | Qwen2.5-VL-72B technical report | 7.6 | MM-MT-Bench (Table 3) | Capabilities |
More in Vision
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- CharXiv In use Chart understanding on real arXiv figures. Reasoning questions require synthesizing information from complex charts. Claude Fable 5 93.5%
- MATH-Vision (MathVision) In use 3,040 competition math problems with visual context. Answer accuracy. Qwen 3.8 Max 97.7%
- ChartQA In use Models answer human-written and generated questions about chart images that need visual and arithmetic reasoning. Scored by relaxed accuracy with a 5 percent numeric tolerance.
Command A Vision 90.9% - DocVQA In use Models answer 50,000 questions about 12,000 scanned document images by reading their text and layout. Scoring is ANLS, a string similarity to reference answers.
Seed1.5-VL 96.9%