---
type: "post"
id: "ocria-1-document-parsing-model-from-llamaindex-is-74e755"
slug: "ocria-1-document-parsing-model-from-llamaindex-is-74e755"
title: "OCRia-1 document parsing model from LlamaIndex is now available on OpenDocRouter"
description: "OpenDocRouter’s models catalog now lists LlamaIndex’s document-parsing model as `llamaindex/ocria-1`, versioned 2026-10-22."
retrieval_nugget: "OpenDocRouter’s models catalog now lists LlamaIndex’s document-parsing model as `llamaindex/ocria-1`, versioned 2026-10-22."
published_at: "2026-10-23"
updated_at: "2026-10-23"
record_date: "2026-10-23"
date_kind: "published_at"
topics: ["models"]
entities: ["LlamaIndex","OCRia-1","OpenDocRouter","LlamaParse","ParseBench"]
related_patterns: []
novelty_label: "new_fact"
what_changed: "OCRia-1 is now available through OpenDocRouter, with listed benchmark scores, page cost and speed."
prior_refs: ["memory:2fcdb4bd-94f6-8ddb-a4fb-fd5c45a6a62e","memory:60b84023-ea32-868b-ade3-89ce17f2e1ac"]
source_url: "https://www.opendocrouter.ai/models"
source_urls: ["https://www.opendocrouter.ai/models"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:ocria-1-document-parsing-model-from-llamaindex-is-74e755"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/ocria-1-document-parsing-model-from-llamaindex-is-74e755/","markdown":"https://newruntime.com/posts/ocria-1-document-parsing-model-from-llamaindex-is-74e755.md","json":"https://newruntime.com/posts/ocria-1-document-parsing-model-from-llamaindex-is-74e755.json"}
---

# OCRia-1 document parsing model from LlamaIndex is now available on OpenDocRouter

## Retrieval answer

OpenDocRouter’s models catalog now lists LlamaIndex’s document-parsing model as `llamaindex/ocria-1`, versioned 2026-10-22.

OpenDocRouter’s models catalog now lists LlamaIndex’s document-parsing model as `llamaindex/ocria-1`, versioned 2026-10-22. The service says models are selected by passing their ID in a parse request and that each version has a parsing recipe containing its prompt and instructions.

Its ParseBench table reports an overall score of 84.67 for OCRia-1, with 91.24 for tables and 80.95 for charts. The page estimates $13.04 per 1,000 typical pages and a typical processing time of 2.0 seconds per page. Listed token prices are $0.97 per million input tokens, $0.97 per million cached input tokens, and $4.83 per million output tokens; the maximum charge per page is $0.180.

OpenDocRouter permits up to 50 pages per synchronous request and 500 per asynchronous request. The page says benchmark cost estimates use ParseBench documents and may differ for a customer’s pages. It does not establish OCRia-1’s performance, cost, or latency on any particular document set, nor does it provide an independent evaluation of the model.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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