LlamaIndex 实测 Gemini 4 Argon 与 Muse 系列模型的文档 OCR 能力
LlamaIndex 实测了 Gemini 4 Argon 和 Muse 两个新模型做文档 OCR，谁在表格理解上性价比最高、价格陷阱在哪都讲清楚了。
LlamaIndex 团队用 OpenDocRouter 对 Gemini 4 Argon、Muse Wonder、Muse Spark 三款模型做了硬文档 OCR 基准测试。结果显示 Muse Spark 和 Gemini 4 Argon 分别在各自价位段是表格理解的 SOTA。Muse Wonder 和 Argon 在图表理解、阅读顺序和格式识别方面表现也不错。Muse Wonder 的延迟明显更低，而 Gemini 4 Argon 目前成本低但属于 introductory rates，年内价格将翻倍。团队同时提供 LlamaParse 作为免选型的专用文档解析方案。
We benchmarked Gemini 4 Argon, Muse Wonder, and Muse Spark comprehensively on hard document OCR tasks. They're all pretty good! - Muse Spark and Gemini 4 Argon* are SOTA at their respective price points for table understanding among frontier models. - Wonder and Argon are also quite good at chart understanding, reading order, and formatting recognition It's exciting that frontier models are starting to ramp up on visual understanding capabillities. We're committed to open benchmarking of all available models even as we aim to build the best specialized models for document parsing and extraction. You can check out the full set of models on OpenDocRouter: opendocrouter.ai If you want a dedicated OCR solution without choosing, come check out LlamaParse: cloud.llamaindex.ai Logan Markewich @LoganMarkewich Added a few new models to OpenDocRouter (gemini-4-argon, Muse Spark/Wonder). Interesting to see the latency for Muse Wonder so low. Gemini's costs are low but their introductory rates mean the price will double later this year. 🔗 View Quoted Tweet 💬 1 🔄 0 ❤️ 3 👀 234 📊 1 ⚡
