PointerBench - Pro: leaderboard
PointerBench: 1,500 screenshot/instruction pairs, 500 per suite, with 1024×768 absolute pixel coordinates. One JSON prompt; success requires a point inside the target or box coverage ≥0.90 and precision ≥0.70. Disabled uses 512 output tokens; Low and Medium use 2,048, with a 1,024-token reasoning allowance for Medium. Outputs are unmodified; malformed, filtered and exhausted responses fail without retry. Explicit thinking settings are retained. Success rate (%).
Metric: Success rate (%). Source: arxiv.org. Saturation forecast: Around January 2027. 45 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Fable 5 (Medium) | 82.4 | #17 (Claude Fable 5) |
| 2 | Claude Fable 5 (Low) | 82.2 | #17 (Claude Fable 5) |
| 3 | GPT-5.6 Sol (Medium) | 82 | #19 (GPT-5.6 Sol) |
| 4 | Claude Opus 5 | 81.2 | #13 |
| 5 | GPT-5.6 Sol (Low) | 80.8 | #19 (GPT-5.6 Sol) |
| 6 | Claude Opus 4.8 | 80.2 | #37 |
| 7 | GPT-5.6 Luna (Medium) | 79.4 | #75 (GPT-5.6 Luna) |
| 8 | GPT-5.6 Luna (Low) | 79.4 | #75 (GPT-5.6 Luna) |
| 9 | Claude Sonnet 4.6 (Medium) | 78.8 | #94 (Claude Sonnet 4.6) |
| 10 | GPT-5.6 Terra | 77.6 | #40 |
| 11 | Claude Sonnet 4.6 (Non-reasoning) | 77.4 | #94 (Claude Sonnet 4.6) |
| 12 | Claude Sonnet 5 | 77 | #62 |
| 13 | GPT-5.6 Sol (Non-reasoning) | 76.8 | #19 (GPT-5.6 Sol) |
| 14 | Claude Sonnet 4.6 (Low) | 76.8 | #94 (Claude Sonnet 4.6) |
| 15 | GPT-5.5 | 75.8 | #30 |
No result here: #5 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=pointerbench-pro · How It Works · Data refreshed daily, snapshot 2026-10-25.