A grounded visual QA benchmark focused on answering practical questions about real-world images and scenes.
BenchLM mirrors the published score view for RealWorldQA. Qwen3.7 Plus leads the public snapshot at 86.9% , followed by Qwen3.6-35B-A3B (85.3%) and Qwen3.6-27B (84.1%). BenchLM does not use these results to rank models overall.
Qwen3.7 Plus
Alibaba
Qwen3.6-35B-A3B
Alibaba
Qwen3.6-27B
Alibaba
The published RealWorldQA snapshot is tightly clustered at the top: Qwen3.7 Plus sits at 86.9%, while the third row is only 2.8 points behind. The broader top-10 spread is 28.5 points, so the benchmark still separates strong models even when the leaders cluster.
4 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.
Version
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.
Qwen3.7 Plus by Alibaba currently leads with a score of 86.9% on RealWorldQA.
4 AI models have been evaluated on RealWorldQA on BenchLM.
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