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LLM Stats
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.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- multimodal
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 25
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Claude Opus 4.8 | 0.879 | Not recorded | Not recorded | 2026-05-28 · model_announcement | LLM Stats |
| GPT-5.2 | 0.863 | Not recorded | Not recorded | 2025-12-11 · model_announcement | LLM Stats |
| Qwen3.8 Max | 0.845 | Not recorded | Not recorded | 2026-08-02 · model_announcement | LLM Stats |
| Muse Spark | 0.841 | Not recorded | Not recorded | 2026-04-08 · model_announcement | LLM Stats |
| Qwen3.7-Plus | 0.79 | Not recorded | Not recorded | 2026-05-31 · model_announcement | LLM Stats |
| Muse Glimmer-30B | 0.754 | Not recorded | Not recorded | 2026-08-10 · model_announcement | LLM Stats |
| Gemini 3 Pro | 0.727 | Not recorded | Not recorded | 2025-11-18 · model_announcement | LLM Stats |
| Qwen3.5-122B-A10B | 0.704 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3.5-27B | 0.703 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Gemini 3 Flash | 0.691 | Not recorded | Not recorded | 2025-12-17 · model_announcement | LLM Stats |
| Qwen3.5-35B-A3B | 0.686 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3.6 Plus | 0.682 | Not recorded | Not recorded | 2026-04-02 · model_announcement | LLM Stats |
| Qwen3 VL 235B A22B Instruct | 0.62 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 235B A22B Thinking | 0.618 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 30B A3B Instruct | 0.605 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 4B Instruct | 0.595 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 32B Instruct | 0.579 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 30B A3B Thinking | 0.573 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 32B Thinking | 0.571 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 8B Instruct | 0.546 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 4B Thinking | 0.492 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 8B Thinking | 0.466 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen2.5 VL 72B Instruct | 0.436 | Not recorded | Not recorded | 2025-01-26 · model_announcement | LLM Stats |
| Qwen2.5 VL 32B Instruct | 0.394 | Not recorded | Not recorded | 2025-02-28 · model_announcement | LLM Stats |
| Qwen2.5 VL 7B Instruct | 0.29 | Not recorded | Not recorded | 2025-01-26 · model_announcement | LLM Stats |