Benchmark Almanac

MathVision-Wildphoto

Qwen3-VL-235B-A22B 63.8% Only in system cards

Models solve MathVision style problems shown in photos taken in natural settings, judging from the name. The Qwen3-VL report gives no citation or further description.

In-house Qwen evaluation. The tasks are not public. The description, scoring and format are guesses from the name.

Made by Qwen (Alibaba) Released Nov 2025 Visual math and diagrams Tasks kept private Last in a system card Nov 2025 Last model added Nov 2025
Level
School Students, from grade school to high school
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Short answer A number, word or short string matched to a key.
1
Model scored in lab cards
1
System card reports it, from 1 lab

Qwen3-VL-235B-A22B leads with 63.8%

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.

  1. 1 Qwen3-VL-235B-A22B 63.8%
#ModelScoreSettingDateSource
1 Qwen3-VL-235B-A22B 63.8% Nov 2025 Model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Qwen3-VL-235B-A22B 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Qwen3-VL-235B-A22B

Labs report it only in system cards

We read the headline results of 479 launch posts from 51 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.

DateDocumentScoreAs the document writes itSection
26 Nov 2025 Qwen3-VL-235B-A22B technical report 63.8 MathVisionWP (Table 2) Capabilities

More in Vision

All 234 in Vision
  • MMMU In use 11.5K college-level multimodal questions across 30 subjects. Multiple-choice and open accuracy. GPT-5.1 85.4%
  • MMMU-Pro In use Harder MMMU: college-level multimodal questions with more options and vision-only inputs to remove text shortcuts. Kimi K3.1 Pro 84.1%
  • 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%