llmboard.ai
Benchmarks
CompareRankings
llmboard.ai
Benchmarks
CompareRankings
HomeBenchmarksmultimodalScreenSpot Pro

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 7, 2026

Published models24
Registry coverage24
MetricScore
EvidenceC

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

ScreenSpot Pro leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

24 rows
Columns

Show columns

1ANClaude Opus 4.8Anthropic87.9%100.0%24CAug 7, 2026
2OPGPT-5.2OpenAI86.3%95.7%24CAug 7, 2026
3ACQwen3.8 MaxAlibaba Cloud / Qwen Team84.5%91.3%24CAug 7, 2026
4MEMuse SparkMeta84.1%87.0%24CAug 7, 2026
5ACQwen3.7-PlusAlibaba Cloud / Qwen Team79.0%82.6%24CAug 7, 2026
6GOGemini 3 ProGoogle72.7%78.3%24CAug 7, 2026
7ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team70.4%73.9%24CAug 7, 2026
8ACQwen3.5-27BAlibaba Cloud / Qwen Team70.3%69.6%24CAug 7, 2026
9GOGemini 3 FlashGoogle69.1%65.2%24CAug 7, 2026
10ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team68.6%60.9%24CAug 7, 2026
11ACQwen3.6 PlusAlibaba Cloud / Qwen Team68.2%56.5%24CAug 7, 2026
12ACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen Team62.0%52.2%24CAug 7, 2026
13ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team61.8%47.8%24CAug 7, 2026
14ACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen Team60.5%43.5%24CAug 7, 2026
15ACQwen3 VL 4B InstructAlibaba Cloud / Qwen Team59.5%39.1%24CAug 7, 2026
16ACQwen3 VL 32B InstructAlibaba Cloud / Qwen Team57.9%34.8%24CAug 7, 2026
17ACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen Team57.3%30.4%24CAug 7, 2026
18ACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen Team57.1%26.1%24CAug 7, 2026
19ACQwen3 VL 8B InstructAlibaba Cloud / Qwen Team54.6%21.7%24CAug 7, 2026
20ACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen Team49.2%17.4%24CAug 7, 2026
21ACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen Team46.6%13.0%24CAug 7, 2026
22ACQwen2.5 VL 72B InstructAlibaba Cloud / Qwen Team43.6%8.7%24CAug 7, 2026
23ACQwen2.5 VL 32B InstructAlibaba Cloud / Qwen Team39.4%4.3%24CAug 7, 2026
24ACQwen2.5 VL 7B InstructAlibaba Cloud / Qwen Team29.0%0.0%24CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

ScreenSpot Pro

ScreenSpot Pro highlights

The top published results on this benchmark's own scale.

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

What is ScreenSpot Pro?

Definition and scoring fields from the benchmark registry.

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. The current registry marks this benchmark as not independently verified with evidence level C.

Family
ScreenSpot Pro
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
screenspot-pro|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

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?

24 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai