模型多源确认73°

Claude Opus 5.5 在 ParseBench 表格解析评测中拿下 93.9%

Opus 5.5 is the best frontier model for parsing tables in PDFs. We ran it through ParseBench, and i...

精选理由

LlamaIndex 跑了 ParseBench,Opus 5.5 解析 PDF 表格比 Opus 5 高 7 个点,但每页 5.8 美分不便宜,文中还对比了 LlamaParse 的替代方案。

LlamaIndex 用 ParseBench 测试了 Claude Opus 5.5 的 PDF 表格解析能力,得分 93.9%,比 Opus 5 高出 7 个百分点以上,超过 Fable、Gemini 和 Astra。解析质量与 LlamaParse Agentic Plus 相当,但在图表、格式和版面方面仍有短板。价格为每页 5.8 美分,作为生产级 OCR 方案成本偏高。

原文 · Jerry Liu

Opus 5.5 is the best frontier model for parsing tables in PDFs. We ran it through ParseBench, and i...

Opus 5.5 is the best frontier model for parsing tables in PDFs. We ran it through ParseBench, and it scored 93.9%, a 7%+ increase over Opus 5, and beating Fable/Gemini/Astra. It's comparable to LlamaParse Agentic Plus in table quality, though it still struggles on charts, formatting, and layout. It's also 5.8c a page, which is too expensive to be a production OCR solution. Full results on ParseBench: parsebench.ai If you want Opus 5.5-level table quality, consistent parse quality + metadata for all edge cases, at the fraction of the cost, come check out LlamaParse. We have volume discounts for all modes and can help you set up customized routing between Agentic Plus, Agentic, and cost-effective: cloud.llamaindex.ai 💬 1 🔄 0 ❤️ 6 👀 528 📊 2 ⚡

  • 宝玉09-22 20:29原文
  • Decoder09-22 16:31原文
  • Simon Willison’s Weblog09-22 23:46原文
  • Justine Moore09-21 18:00原文
  • Blognone09-22 01:30原文
  • 向阳乔木09-22 17:38原文
  • 歸藏(guizang.ai)09-21 03:06原文
  • eric zakariasson09-21 22:01原文
  • Aravind Srinivas09-22 19:06原文
  • orange.ai09-22 22:58原文