A grounded visual QA benchmark focused on answering practical questions about real-world images and scenes.
As of March 2026, Qwen3.6 Plus leads the RealWorldQA leaderboard with 85.4% , followed by Qwen3.5 397B (83.9%) and GPT-5.2 (83.3%).
Qwen3.6 Plus
Alibaba
Qwen3.5 397B
Alibaba
GPT-5.2
OpenAI
According to BenchLM.ai, Qwen3.6 Plus leads the RealWorldQA benchmark with a score of 85.4%, followed by Qwen3.5 397B (83.9%) and GPT-5.2 (83.3%). The top models are clustered within 2.1 points, suggesting this benchmark is nearing saturation for frontier models.
6 models have been evaluated on RealWorldQA. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. RealWorldQA is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Real-world visual question answering
Format
Image-grounded QA
Difficulty
General visual reasoning
RealWorldQA is useful because it emphasizes practical perception and grounded answering on realistic images rather than synthetic or purely academic multimodal tasks.
Qwen3.6 launch benchmarksVersion
RealWorldQA 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A grounded visual QA benchmark focused on answering practical questions about real-world images and scenes.
Qwen3.6 Plus by Alibaba currently leads with a score of 85.4% on RealWorldQA.
6 AI models have been evaluated on RealWorldQA on BenchLM.
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