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LlamaIndex · Provider announcement verified

OCRia-1 · document parsing

Read complex document tables, charts and formatting through LlamaParse. For example, recover a financial table while keeping each value attached to its row and column.

First reviewed 2026-10-27 · Checked 2026-11-03. Discovered October 27. The opened announcement did not establish an exact release date. Its benchmark comparisons were run by the provider, including on third-party datasets.

We still need comparable independent tests. You can compare the confirmed features and limits below, but we cannot yet give this version an Agent Fit or Practical Value rating. Test it on your own tasks before switching; results for another version or thinking setting may not apply.

Input / 1M tokens—Provider specifications · prices unverified
Output / 1M tokens—Provider specifications · prices unverified
Documented capacityNot verifiedSee input limits below
Cached input / 1M—Provider specifications · prices unverified

What you can use today

Token prices measure the small pieces of text the model reads or produces. Capacity is the amount the service accepts in a request; check the limits below for any fallback to another model. A dash means the rate is unverified.

We could not confirm a model ID for general API access. A specialized 4B model that returns Markdown and HTML, with mathematical formulas in LaTeX. It can turn charts into tables of values.

Available inside LlamaParse. A standalone API model ID and public weight download are not established by the announcement.

The announcement says LlamaParse pricing is unchanged but does not give a complete model-specific tariff. Check the chosen service plan; no token price is inferred. Allow for retries and any tool fees. Models that think before answering may also charge for that work.

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Test it before switching

Give each model the same examples, tools and definition of success. Record correct outcomes, response time, retries and total cost. A cheaper token price does not guarantee a cheaper completed task.

Compare caching and long-context costs ↗
AI Agent Store · Model comparisons · Data reviewed 2026-11-03Sources, limitations & corrections ↗