Datasets:
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README.md
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@@ -122,7 +122,7 @@ The final evaluation reports the absolute accuracy of the benchmark in both Engl
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We evaluated several of the latest popular MLLMs, including both closed-source and open-source models.
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| Moldel |
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| Gemini-3-Pro-preview | √ | Proprietary | 20251119 | **0.9318** | 0.9403 | **0.9361** |
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| GPT-5(high) | √ | Proprietary | 20250807 | 0.9279 | 0.9246 | 0.9263 |
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We also conducted separate evaluations for different task types (in RxnBench-en).
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| Moldel |
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| Gemini-3-Pro-preview | √ | Proprietary | 20251119 | **0.9648** | 0.9246 | **0.9527** | 0.9398 | 0.9322 | 0.7463 |
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| GPT-5(high) | √ | Proprietary | 20250807 | 0.9313 | **0.9444** | **0.9527** | 0.9167 | **0.9661** | 0.8358 |
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We evaluated several of the latest popular MLLMs, including both closed-source and open-source models.
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| Moldel | Think | Weight | API-Version | RxnBench-En | RxnBench-Zh | Mean Score |
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| ---- |:----:|:----:|:----:|:----:|:----:|:----:|
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| Gemini-3-Pro-preview | √ | Proprietary | 20251119 | **0.9318** | 0.9403 | **0.9361** |
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| GPT-5(high) | √ | Proprietary | 20250807 | 0.9279 | 0.9246 | 0.9263 |
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We also conducted separate evaluations for different task types (in RxnBench-en).
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| Moldel | Think | Weight | API-Version | Type0 | Type1 | Type2 | Type3 | Type4 | Type5 |
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| Gemini-3-Pro-preview | √ | Proprietary | 20251119 | **0.9648** | 0.9246 | **0.9527** | 0.9398 | 0.9322 | 0.7463 |
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| GPT-5(high) | √ | Proprietary | 20250807 | 0.9313 | **0.9444** | **0.9527** | 0.9167 | **0.9661** | 0.8358 |
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