Benchmark profile

RealWorldQA

A grounded visual QA benchmark focused on answering practical questions about real-world images and scenes.

Data verified July 23, 2026

Benchmark score on RealWorldQA — July 23, 2026

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.

1Closed

Qwen3.7 Plus

Alibaba

qwen3-7-plus

86.9%

Overall 67.22Context 1M

2Open

Qwen3.6-35B-A3B

Alibaba

qwen3-6-35b-a3b

85.3%

Overall 51.47Context 262K

3Open

Qwen3.6-27B

Alibaba

qwen3-6-27b

84.1%

Overall 53.82Context 262K

4 modelsMultimodal & GroundedCurrentDisplay onlyUpdated July 23, 2026

Benchmark score table (4 models)

Score

Qwen3.7 PlusAlibaba · Closed

86.9%

Qwen3.6-35B-A3BAlibaba · Open weight

85.3%

Qwen3.6-27BAlibaba · Open weight

84.1%

LFM2.5-VL-450MLiquidAI · Open weight

58.4%

The published RealWorldQA snapshot places Qwen3.7 Plus first at 86.9%. The third row is 2.8 points behind. The broader top-10 range is 28.5 points, so the table still separates the published systems.

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.

About RealWorldQA

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 benchmarks

BenchLM freshness & provenance

Version

RealWorldQA 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

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.

FAQ

What does RealWorldQA measure?

A grounded visual QA benchmark focused on answering practical questions about real-world images and scenes.

Which model scores highest on RealWorldQA?

Qwen3.7 Plus by Alibaba currently leads with a score of 86.9% on RealWorldQA.

How many models are evaluated on RealWorldQA?

4 AI models have been evaluated on RealWorldQA on BenchLM.

Compare Top Models on RealWorldQA

Qwen3.7 Plus vs Qwen3.6-35B-A3B Qwen3.6-35B-A3B vs Qwen3.6-27B Qwen3.6-27B vs LFM2.5-VL-450M

Last updated: July 23, 2026 · BenchLM version RealWorldQA 2026

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