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@@ -44,6 +44,44 @@ The suite has three subsets:
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  | `pointerbench-text` | 500 | Words, characters, punctuation, caret positions, chrome text, text bounding boxes, and invoice fields |
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  | `pointerbench-pro` | 500 | Icons, text, and mixed GUI targets across 100 professional applications |
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  All images are synthetic 1024x768 PNG screenshots. The datasets contain no
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  scraped user data and no PII.
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  | `pointerbench-text` | 500 | Words, characters, punctuation, caret positions, chrome text, text bounding boxes, and invoice fields |
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  | `pointerbench-pro` | 500 | Icons, text, and mixed GUI targets across 100 professional applications |
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+ ## Leaderboard
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+
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+ Scores are percentages. The table is ranked by the reported public average across Sheets, Text, and Pro. The Fable 5 row is a uniform 50 percent sample rerun: 250 examples per benchmark, seed 20260702. Other rows are full public report runs unless otherwise noted.
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+
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+ | Rank | Model | Sheets | Text | Pro | Average |
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+ | ---: | --- | ---: | ---: | ---: | ---: |
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+ | 1 | `anthropic/claude-fable-5` | 96.0 | 58.4 | 80.8 | 78.7 |
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+ | 2 | `warmwind/pointer-1.6 (agentic)` | 87.8 | 66.8 | 76.8 | 77.1 |
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+ | 3 | `anthropic/claude-sonnet-4.6` | 82.6 | 47.8 | 77.4 | 69.3 |
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+ | 4 | `anthropic/claude-opus-4.8` | 82.2 | 44.4 | 80.2 | 68.9 |
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+ | 5 | `warmwind/pointer-1.6` | 77.0 | 49.2 | 76.8 | 67.7 |
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+ | 6 | `anthropic/claude-opus-4.7` | 73.8 | 36.2 | 75.4 | 61.8 |
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+ | 7 | `openai/gpt-5.5` | 72.4 | 31.4 | 75.8 | 59.9 |
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+ | 8 | `openai/gpt-5.4` | 63.2 | 25.0 | 50.4 | 46.2 |
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+ | 9 | `openai/gpt-5` | 35.2 | 13.6 | 20.2 | 23.0 |
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+ | 10 | `x-ai/grok-4.20-multi-agent` | 10.6 | 1.4 | 10.0 | 7.3 |
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+ | 11 | `moonshotai/kimi-k2.5` | 10.8 | 3.4 | 3.0 | 5.7 |
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+ | 12 | `openai/gpt-5-mini` | 6.0 | 1.4 | 5.8 | 4.4 |
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+ | 13 | `moonshotai/kimi-k2.6` | 5.6 | 2.8 | 2.8 | 3.7 |
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+ | 14 | `qwen/qwen3.7-plus` | 5.8 | 0.6 | 3.0 | 3.1 |
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+ | 15 | `qwen/qwen3.6-flash` | 4.2 | 1.2 | 2.6 | 2.7 |
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+ | 16 | `minimax/minimax-m3` | 3.6 | 0.4 | 3.6 | 2.5 |
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+ | 17 | `qwen/qwen3.6-plus` | 3.0 | 0.6 | 3.6 | 2.4 |
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+ | 18 | `qwen/qwen3-vl-235b-a22b-thinking` | 2.6 | 0.4 | 3.2 | 2.1 |
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+ | 19 | `qwen/qwen3.5-9b` | 2.0 | 0.2 | 2.6 | 1.6 |
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+ | 20 | `google/gemini-3.5-flash` | 3.4 | 0.6 | 0.6 | 1.5 |
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+ | 21 | `openai/gpt-5-nano` | 2.0 | 0.2 | 1.6 | 1.3 |
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+ | 22 | `moonshotai/kimi-k2.7-code` | 0.4 | 1.8 | 0.8 | 1.0 |
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+ | 23 | `x-ai/grok-4.3` | 1.2 | 0.0 | 0.0 | 0.4 |
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+ | 24 | `google/gemini-3.1-pro-preview` | 0.0 | 0.2 | 0.4 | 0.2 |
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+ | 25 | `google/gemini-3.1-pro-preview-customtools` | 0.0 | 0.4 | 0.0 | 0.1 |
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+ | 26 | `stepfun/step-3.7-flash` | 0.0 | 0.0 | 0.2 | 0.1 |
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+ | 27 | `x-ai/grok-build-0.1` | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 28 | `xiaomi/mimo-v2.5` | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | - | Center-click baseline | 0.4 | 0.2 | 0.2 | 0.3 |
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+
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+ To add your model to the official benchmark leaderboard, contact https://warmwind.com/contact.
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+
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  All images are synthetic 1024x768 PNG screenshots. The datasets contain no
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  scraped user data and no PII.
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