LlamaIndex launches Extract v2.5 document extraction agents with improved accuracy

LlamaIndex introduced Extract v2.5, a series of agents tuned for document extraction across cost-effective, agentic, and agentic plus tiers.

The company reports the agents outperform Opus 5.5 and GPT-6 Sol while costing 30% to 4x less, with accuracy gains on long lists (86.1% to 95.5%), multi-page records (85.5% to 96.5%), and scanned forms (90.9% to 95.7%) on its agentic tier.

The release adds advanced citations with bounding boxes and structural reasoning, and the agents are available on LlamaParse.