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multimodal benchmark

ScreenSpot Pro

ScreenSpot-Pro is a novel GUI grounding benchmark designed to rigorously evaluate the grounding capabilities of multimodal large language models (MLLMs) in professional high-resolution computing environments. The benchmark comprises 1,581 instructions across 23 applications spanning 5 industries and 3 operating systems, featuring authentic high-resolution images from professional domains with expert annotations. Unlike previous benchmarks that focus on cropped screenshots in consumer applications, ScreenSpot-Pro addresses the complexity and diversity of real-world professional software scenarios, revealing significant performance gaps in current MLLM GUI perception capabilities.

Updated Aug 11, 2026

Models25
Model coverage25
MetricScore
EvidenceC

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

ScreenSpot Pro Ranking

Higher score ranks better on this benchmark.

25 rows
Columns

Show columns

01ANClaude Opus 4.8Anthropic87.9%100.0%25CAug 11, 2026
02OPGPT-5.2OpenAI86.3%95.8%25CAug 11, 2026
03ACQwen3.8 MaxAlibaba Cloud / Qwen Team84.5%91.7%25CAug 11, 2026
04MEMuse SparkMeta84.1%87.5%25CAug 11, 2026
05ACQwen3.7-PlusAlibaba Cloud / Qwen Team79.0%83.3%25CAug 11, 2026
06MEMuse Glimmer-30BMeta75.4%79.2%25CAug 11, 2026
07GOGemini 3 ProGoogle72.7%75.0%25CAug 11, 2026
08ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team70.4%70.8%25CAug 11, 2026
09ACQwen3.5-27BAlibaba Cloud / Qwen Team70.3%66.7%25CAug 11, 2026
10GOGemini 3 FlashGoogle69.1%62.5%25CAug 11, 2026
11ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team68.6%58.3%25CAug 11, 2026
12ACQwen3.6 PlusAlibaba Cloud / Qwen Team68.2%54.2%25CAug 11, 2026
13ACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen Team62.0%50.0%25CAug 11, 2026
14ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team61.8%45.8%25CAug 11, 2026
15ACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen Team60.5%41.7%25CAug 11, 2026
16ACQwen3 VL 4B InstructAlibaba Cloud / Qwen Team59.5%37.5%25CAug 11, 2026
17ACQwen3 VL 32B InstructAlibaba Cloud / Qwen Team57.9%33.3%25CAug 11, 2026
18ACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen Team57.3%29.2%25CAug 11, 2026
19ACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen Team57.1%25.0%25CAug 11, 2026
20ACQwen3 VL 8B InstructAlibaba Cloud / Qwen Team54.6%20.8%25CAug 11, 2026
21ACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen Team49.2%16.7%25CAug 11, 2026
22ACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen Team46.6%12.5%25CAug 11, 2026
23ACQwen2.5 VL 72B InstructAlibaba Cloud / Qwen Team43.6%8.3%25CAug 11, 2026
24ACQwen2.5 VL 32B InstructAlibaba Cloud / Qwen Team39.4%4.2%25CAug 11, 2026
25ACQwen2.5 VL 7B InstructAlibaba Cloud / Qwen Team29.0%0.0%25CAug 11, 2026

ScreenSpot Pro Score Distribution

A closer view of the leading scores on this benchmark.

ScreenSpot Pro

ScreenSpot Pro Highlights

The leading models and scores on this benchmark.

Rank #1Claude Opus 4.887.9%Rank #2GPT-5.286.3%Rank #3Qwen3.8 Max84.5%Rank #4Muse Spark84.1%

What is ScreenSpot Pro?

What ScreenSpot Pro measures and how its scores work.

ScreenSpot-Pro is a novel GUI grounding benchmark designed to rigorously evaluate the grounding capabilities of multimodal large language models (MLLMs) in professional high-resolution computing environments. The benchmark comprises 1,581 instructions across 23 applications spanning 5 industries and 3 operating systems, featuring authentic high-resolution images from professional domains with expert annotations. Unlike previous benchmarks that focus on cropped screenshots in consumer applications, ScreenSpot-Pro addresses the complexity and diversity of real-world professional software scenarios, revealing significant performance gaps in current MLLM GUI perception capabilities.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of C.

Family
ScreenSpot Pro
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
screenspot-pro|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about ScreenSpot Pro.

Which model scores highest on ScreenSpot Pro?

Claude Opus 4.8 is currently ranked first with 87.9%.

What does ScreenSpot Pro measure?

ScreenSpot-Pro is a novel GUI grounding benchmark designed to rigorously evaluate the grounding capabilities of multimodal large language models (MLLMs) in professional high-resolution computing environments. The benchmark comprises 1,581 instructions across 23 applications spanning 5 industries and 3 operating systems, featuring authentic high-resolution images from professional domains with expert annotations. Unlike previous benchmarks that focus on cropped screenshots in consumer applications, ScreenSpot-Pro addresses the complexity and diversity of real-world professional software scenarios, revealing significant performance gaps in current MLLM GUI perception capabilities.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

25 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.