LlamaIndex Agentic Plus 降价至每页 25 credits
LlamaIndex 把最难啃的 PDF 解析价格砍了 44%，每页从 45 credits 降到 25，API 调用完全不用改。靠新 OCRia-1.5 模型和更精简的 agent harness 省下的成本直接让利。做文档 RAG 或表格提取的团队，同样预算能多跑 1.8 倍页数，值得看下账单能省多少。
LlamaIndex 宣布 Agentic Plus 的解析价格从每页 45 credits 降至 25 credits，降幅 44%，同样额度的 credits 现在可以处理 1.8 倍的页数。API 调用方式不变，用户无需迁移代码即可享受新价格。
成本下降来自两方面：新的 OCRia-1.5 系列模型降低了单页处理开销，加上更精简的 agent harness 提升了运行效率，LlamaIndex 把节省的成本直接让利给用户。目标场景仍是难度高的 PDF，比如密集表格、无标注图表和倾斜扫描件。
对依赖文档解析做 RAG 或数据提取的团队来说，同样预算下的吞吐量接近翻倍，可以直接降低生产环境的解析账单。
Stop paying 45 credits a page for your hardest PDFs. Agentic Plus is now 25 credits per page. It's the same API call with nothing to migrate. Our new OCRia-1.5 family of models and a tighter agent harness means every page costs us less to process, and we’re passing that straight through. The results: → 44% cheaper → 1.8x the pages on the same credits Your hardest PDFs are still hard (think dense tables, unlabeled charts, crooked scans). But they just got a lot cheaper to get right :)📊 3 ⚡
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include LlamaIndex, Agentic Plus, OCRia-1.5, RAG.
Source attribution: curated from LlamaIndex (@llama_index). Cross-source corroboration: 2 independent sources have covered this development (including Jerry Liu), confirming industry-wide signal strength.
- Jerry Liu11-11 23:38Source
