VQV Signal
According to a post on X by @llama_index, LlamaParse Agentic Plus parsing now uses 25 credits per page, down from 45, with the same API call. The post says there is nothing to migrate. LlamaIndex credits a new OCRia-1.5 model family and a tighter agent harness for lowering its own processing costs. The snippet does not give a date for the change.
According to a post on X by @llama_index, LlamaParse Agentic Plus parsing now uses 25 credits per page, down from 45, with the same API call. The post says there is nothing to migrate. LlamaIndex credits a new OCRia-1.5 model family and a tighter agent harness for lowering its own processing costs. The snippet does not give a date for the change.
AI-assisted summary based on the listed source.
LlamaIndex says Agentic Plus parsing drops from 45 to 25 credits per page with the same API call and nothing to migrate. It credits a new OCRia-1.5 model family and a tighter agent harness for lowering its own processing costs. Why it matters: Parsing hard PDFs gets about 44% cheaper for teams feeding documents...
Teams that feed hard PDFs into AI systems could see parsing costs fall by about 44%, based on the drop from 45 to 25 credits per page. Per the post, existing users would not need to change their integration. Next, watch whether the lower credit rate holds and how the OCRia-1.5 models perform on real document workloads.
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