Mistral OCR 在 ParseBench 上打败了 GPT-5.5，离 Gemini 3.1 Pro 也不远，价格还便宜，做文档解析很值。
Jerry Liu 发布了 Mistral OCR 在 ParseBench 上的更新结果。该模型的总体得分超过了 GPT-5.5，仅略低于 Gemini 3.1 Pro。在内容忠实度、语义格式和视觉定位方面表现优秀，在表格处理上表现一般，图表能力有限。这些结果展示了该价格区间内模型的竞争力。
We've provided some updated results on Mistral OCR that make use of the annotation feature for chart...
We've provided some updated results on Mistral OCR that make use of the annotation feature for charts. The overall score is ahead of GPT-5.5 and just behind Gemini 3.1 Pro, which is quite impressive for a model at its price range. It does a great job on content faithfulness, semantic formatting, and visual grounding. It does an ok job on tables and an ok job (though to be fair, non-zero) on charts. There's been some great advancements on visual understanding capabilities lately. See screenshot below for performance, will update the main benchmark page soon: parsebench.ai Jerry Liu @jerryjliu0 We benchmarked Mistral OCR against other frontier and open-weight models on ParseBench 📊 For a model at its price point, it is quite competitive! - It wins on semantic formatting - understanding strikethroughs, superscripts/subscripts, title hierarchy, links - It is competitive on content faithfulness (reading order + hallucinations + omissions) and visual grounding (bounding boxes) - It does ok on tables and doesn't really have chart capabilities. Of course, some of the frontier models + OCR providers like Azure Doc Intelligence + AWS Textract are a bit more expensive. Check out our full leaderboard on ParseBench: parsebench.ai X 🔗 View Quoted Tweet 💬 1 🔄 0 ❤️ 2 👀 236 📊 1 ⚡