SimpleVQA
A visual question answering benchmark focused on straightforward image-grounded understanding.
17 models
Higher is better.
- 1Qwen3.7 PlusAlibaba81.7
- 2Step 3.7 FlashStepFun79.2
- 3Qwen3.8 MaxAlibaba75.0
- 4Muse Spark OpenMeta73.6
- 5Gemini 3 ProGoogle73.2
- 6dots3-note PreviewDots Studio72.5
- 7Gemini 3.1 ProGoogle72.4
- 8Muse SparkMeta71.3
- 9Kimi K2.5Moonshot AI71.2
- 10Qwen3.5 397BAlibaba67.1
- 11Claude Opus 4.5Anthropic65.7
- 12GPT-5.4OpenAI61.1
- 13Qwen3.6-35B-A3BAlibaba58.9
- 14Grok 4.20xAI57.4
- 15Qwen3.6-27BAlibaba56.1
- 16GPT-5.2OpenAI55.8
- 17LFM2.5-VL-3BLiquid AI35.4
About this benchmark
- Metric
- Image-grounded question answering
- Tasks
- Visual QA tasks
- Authors
- Z.AI (2026)
- Source
- GLM-5V-Turbo ↗
Scores are as reported by model developers or evaluators and may use different settings (for example reasoning effort or tools). Compare with care.