RealWorldQA
A grounded visual QA benchmark focused on answering practical questions about real-world images and scenes.
16 models
Higher is better.
- 1Qwen3.8-Flash-NextAlibaba88.5
- 2Qwen3.8 MaxAlibaba88.0
- 3Qwen3.8-Omni-FlashAlibaba87.7
- 4Qwen3.7 PlusAlibaba86.9
- 5Qwen3.8-27BAlibaba85.9
- 6Qwen3.6-35B-A3BAlibaba85.3
- 7Qwen3.6-27BAlibaba84.1
- 8Qwen3.5 397BAlibaba83.9
- 9Gemini 3 ProGoogle83.3
- 10GPT-5.2OpenAI83.3
- 11Kimi K2.5Moonshot AI81.0
- 12Ternary Bonsai 2 27BPrism ML80.1
- 13Claude Opus 4.5Anthropic77.0
- 14LFM2.5-VL-3BLiquid AI73.1
- 15North Micro Vision InstructCohere62.2
- 16LFM2.5-VL-450MLiquid AI58.4
About this benchmark
- Metric
- Image-grounded QA
- Tasks
- Real-world visual question answering
- Authors
- Qwen (2026)
Scores are as reported by model developers or evaluators and may use different settings (for example reasoning effort or tools). Compare with care.