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MWS-Vision-Bench

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GeorgyG commited on
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Leaderboard update

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  1. README.md +7 -3
README.md CHANGED
@@ -121,23 +121,27 @@ Top models evaluated on this validation dataset:
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  | Model | Overall | img→text | img→markdown | Grounding | KIE (JSON) | VQA |
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  |-------|---------|----------|--------------|-----------|------------|-----|
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  | **Gemini-2.5-pro** | **0.682** | 0.836 | 0.745 | 0.084 | 0.891 | 0.853 |
 
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  | **Gemini-2.5-flash** | **0.644** | 0.796 | 0.683 | 0.067 | 0.841 | 0.833 |
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  | **gpt-4.1-mini** | **0.643** | 0.866 | 0.724 | 0.091 | 0.750 | 0.782 |
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  | **Claude-4.5-Sonnet** | **0.639** | 0.723 | 0.676 | 0.377 | 0.728 | 0.692 |
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- | **gpt-5-mini** | **0.632** | 0.797 | 0.678 | 0.126 | 0.784 | 0.776 |
 
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  | Qwen2.5-VL-72B | 0.631 | 0.848 | 0.712 | 0.220 | 0.644 | 0.732 |
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  | gpt-5-mini (responses) | 0.594 | 0.743 | 0.567 | 0.118 | 0.811 | 0.731 |
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  | Qwen3-VL-30B-A3B | 0.589 | 0.802 | 0.688 | 0.053 | 0.661 | 0.743 |
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  | gpt-4.1 | 0.587 | 0.709 | 0.693 | 0.086 | 0.662 | 0.784 |
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- | Qwen3-VL-32B | 0.585 | 0.732 | 0.646 | 0.054 | 0.724 | 0.770 |
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  | Qwen3-VL-30B-A3B-FP8 | 0.583 | 0.798 | 0.683 | 0.056 | 0.638 | 0.740 |
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  | Qwen2.5-VL-32B | 0.577 | 0.767 | 0.649 | 0.232 | 0.493 | 0.743 |
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  | gpt-5 (responses) | 0.573 | 0.746 | 0.650 | 0.080 | 0.687 | 0.704 |
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  | Qwen2.5-VL-7B | 0.549 | 0.779 | 0.704 | 0.185 | 0.426 | 0.651 |
 
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  | gpt-4.1-nano | 0.503 | 0.676 | 0.672 | 0.028 | 0.567 | 0.573 |
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  | gpt-5-nano | 0.503 | 0.487 | 0.583 | 0.091 | 0.661 | 0.693 |
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- | Qwen3-VL-2B | 0.439 | 0.592 | 0.613 | 0.029 | 0.356 | 0.605 |
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  | Qwen2.5-VL-3B | 0.402 | 0.613 | 0.654 | 0.045 | 0.203 | 0.494 |
 
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  *Scale: 0.0 - 1.0 (higher is better)*
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  | Model | Overall | img→text | img→markdown | Grounding | KIE (JSON) | VQA |
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  |-------|---------|----------|--------------|-----------|------------|-----|
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  | **Gemini-2.5-pro** | **0.682** | 0.836 | 0.745 | 0.084 | 0.891 | 0.853 |
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+ | **Alice AI VLM dev** | **0.646** | 0.885 | 0.776 | 0.060 | 0.729 | 0.781 |
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  | **Gemini-2.5-flash** | **0.644** | 0.796 | 0.683 | 0.067 | 0.841 | 0.833 |
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  | **gpt-4.1-mini** | **0.643** | 0.866 | 0.724 | 0.091 | 0.750 | 0.782 |
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  | **Claude-4.5-Sonnet** | **0.639** | 0.723 | 0.676 | 0.377 | 0.728 | 0.692 |
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+ | Cotype VL (32B 8 bit) | 0.639 | 0.797 | 0.756 | 0.262 | 0.694 | 0.685 |
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+ | gpt-5-mini | 0.632 | 0.797 | 0.678 | 0.126 | 0.784 | 0.776 |
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  | Qwen2.5-VL-72B | 0.631 | 0.848 | 0.712 | 0.220 | 0.644 | 0.732 |
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  | gpt-5-mini (responses) | 0.594 | 0.743 | 0.567 | 0.118 | 0.811 | 0.731 |
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  | Qwen3-VL-30B-A3B | 0.589 | 0.802 | 0.688 | 0.053 | 0.661 | 0.743 |
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  | gpt-4.1 | 0.587 | 0.709 | 0.693 | 0.086 | 0.662 | 0.784 |
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+ | Qwen3-VL-32B-Instruct | 0.585 | 0.732 | 0.646 | 0.054 | 0.724 | 0.770 |
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  | Qwen3-VL-30B-A3B-FP8 | 0.583 | 0.798 | 0.683 | 0.056 | 0.638 | 0.740 |
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  | Qwen2.5-VL-32B | 0.577 | 0.767 | 0.649 | 0.232 | 0.493 | 0.743 |
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  | gpt-5 (responses) | 0.573 | 0.746 | 0.650 | 0.080 | 0.687 | 0.704 |
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  | Qwen2.5-VL-7B | 0.549 | 0.779 | 0.704 | 0.185 | 0.426 | 0.651 |
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+ | Qwen3-VL-4B-Instruct | 0.535 | 0.707 | 0.685 | 0.063 | 0.546 | 0.675 |
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  | gpt-4.1-nano | 0.503 | 0.676 | 0.672 | 0.028 | 0.567 | 0.573 |
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  | gpt-5-nano | 0.503 | 0.487 | 0.583 | 0.091 | 0.661 | 0.693 |
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+ | Qwen3-VL-2B-Instruct | 0.439 | 0.592 | 0.613 | 0.029 | 0.356 | 0.605 |
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  | Qwen2.5-VL-3B | 0.402 | 0.613 | 0.654 | 0.045 | 0.203 | 0.494 |
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+ | Pixtral-12B-2409 | 0.342 | 0.327 | 0.555 | 0.026 | 0.325 | 0.475 |
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  *Scale: 0.0 - 1.0 (higher is better)*
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