Math-VR
Models answer 5,000 English and Chinese math questions whose solutions need visual reasoning, such as drawing auxiliary lines or plotting functions. Answers are checked against ground truth.
The benchmark reports Answer Correctness and a partial-credit Process Score. Its 178K-sample training set ships separately. Qwen reports it in the Qwen3-VL report.
- Released
- October 2025
- Kind
- Visual math and diagrams
- Level
- School
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Strongest model tested
- GPT-5 #70 on the capability index
- Last in a system card
- November 2025
- Last model added
- November 2025
- Scores refreshed
- November 12th, 2026
Qwen3-VL-235B-A22B leads with 66.8% among models released by September 2025
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 newest model with a score here came out in September 2025, 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
- 66.8
Qwen3-VL-235B-A22B
- 65.0
Qwen3-VL-235B-A22B-Instruct
- 64.7
Gemini 2.5 Pro
- 60.5
Gemini 2.5 Flash
- 59.3 o3
- 58.4
Seed1.6-Thinking
- 58.1 GPT-5
- 54.3 Claude Opus 4.1
- 53.4
Gemini 2.5 Flash Image Preview (nano-banana)
- 49.6 GLM-4.5V
- 48.3 MiMo-VL-7B-RL
- 40.8
InternVL3.5-8B
- 33.3 GPT-4.1 mini
- 29.0 GLM-4.1V-9B-Thinking
- 28.1 Claude Sonnet 4
- 26.0 GPT-4.1
- 22.1 CodePlot-CoT
- 20.6
Gemini 2.0 Flash
- 17.3
Keye-VL-1.5-8B
- 16.1
Gemma 3 27B
- 13.7
Qwen2.5-VL-72B
- 10.1 Bagel-Zebra-CoT
- 10.0
Qwen2.5-VL-32B
- 9.10 GPT-4.1 nano
- 7.60
BAGEL
- 5.30
Qwen2.5-VL-3B
- 4.30 GPT-4o
- 3.00
Qwen2.5-VL-7B
- 1
Qwen3-VL-235B-A22B thinking 66.8%
- 2
Qwen3-VL-235B-A22B-Instruct 65%
- 3
Gemini 2.5 Pro Jun 2025 64.7%
- 4
Gemini 2.5 Flash Jun 2025 60.5%
- 5 o3 59.3%
- 6
Seed1.6-Thinking 58.4%
- 7 GPT-5 thinking 58.1%
- 8 Claude Opus 4.1 54.3%
- 9
Gemini 2.5 Flash Image Preview (nano-banana) 53.4%
- 10 GLM-4.5V 49.6%
- 11 MiMo-VL-7B-RL 48.3%
- 12
InternVL3.5-8B 40.8%
- 13 GPT-4.1 mini 33.3%
- 14 GLM-4.1V-9B-Thinking 29%
- 15 Claude Sonnet 4 28.1%
- 16 GPT-4.1 26%
- 17 CodePlot-CoT 22.1%
- 18
Gemini 2.0 Flash Feb 2025 20.6%
- 19
Keye-VL-1.5-8B 17.3%
- 20
Gemma 3 27B 16.1%
- 21
Qwen2.5-VL-72B 13.7%
- 22 Bagel-Zebra-CoT 10.1%
- 23
Qwen2.5-VL-32B 10%
- 24 GPT-4.1 nano 9.10%
- 25
BAGEL 7.60%
- 26
Qwen2.5-VL-3B 5.30%
- 27 GPT-4o Nov 2024 4.30%
- 28
Qwen2.5-VL-7B 3.00%
Source: Official Math-VR leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 66.8% | thinking | Sep 2025 | Official leaderboard |
| 2 | | 65% | Sep 2025 | Official leaderboard | |
| 3 | | 64.7% | Jun 2025 | Official leaderboard | |
| 4 | | 60.5% | Jun 2025 | Official leaderboard | |
| 5 | o3 | 59.3% | Apr 2025 | Official leaderboard | |
| 6 | | 58.4% | Jun 2025 | Official leaderboard | |
| 7 | GPT-5 | 58.1% | thinking | Aug 2025 | Official leaderboard |
| 8 | Claude Opus 4.1 | 54.3% | Aug 2025 | Official leaderboard | |
| 9 | | 53.4% | Official leaderboard | ||
| 10 | GLM-4.5V | 49.6% | Aug 2025 | Official leaderboard | |
| 11 | MiMo-VL-7B-RL | 48.3% | May 2025 | Official leaderboard | |
| 12 | | 40.8% | Aug 2025 | Official leaderboard | |
| 13 | GPT-4.1 mini | 33.3% | Apr 2025 | Official leaderboard | |
| 14 | GLM-4.1V-9B-Thinking | 29% | Jul 2025 | Official leaderboard | |
| 15 | Claude Sonnet 4 | 28.1% | May 2025 | Official leaderboard | |
| 16 | GPT-4.1 | 26% | Apr 2025 | Official leaderboard | |
| 17 | CodePlot-CoT | 22.1% | Official leaderboard | ||
| 18 | | 20.6% | Feb 2025 | Official leaderboard | |
| 19 | | 17.3% | Aug 2025 | Official leaderboard | |
| 20 | | 16.1% | Mar 2025 | Official leaderboard | |
| 21 | | 13.7% | Jan 2025 | Official leaderboard | |
| 22 | Bagel-Zebra-CoT | 10.1% | Official leaderboard | ||
| 23 | | 10% | Mar 2025 | Official leaderboard | |
| 24 | GPT-4.1 nano | 9.10% | Apr 2025 | Official leaderboard | |
| 25 | | 7.60% | Official leaderboard | ||
| 26 | | 5.30% | Jan 2025 | Official leaderboard | |
| 27 | GPT-4o Nov 2024 | 4.30% | Nov 2024 | Official leaderboard | |
| 28 | | 3.00% | Jan 2025 | Official leaderboard |
Labs report scores for 1 model in their cards. We plot every source in the charts below.
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official Math-VR 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 Math-VR 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 |
|---|---|---|---|---|
| Nov 26, 2025 | | 66.8 | Math-VR (Table 2) | Capabilities |
One lab claim next to the leaderboard
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 1 of them match, which usually means one side copied the other. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| | 66.8% Math-VR (Table 2) | 66.8% Leaderboard, thinking | Same |
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