Falcon-OCR

Multimodal Open Source
300M
Parameters

About Falcon-OCR

Falcon-OCR is an AI model developed by Technology Innovation Institute, in the multimodal category, released in 2026, made available as an open-source model with 0.3B params. Falcon-OCR is a compact 0.3B-parameter early-fusion vision-language model for document OCR, distinct from TII's Falcon P.

On this page you'll find Falcon-OCR's full specifications. Review provider pricing and benchmark scores below, or compare Falcon-OCR head-to-head with other multimodal models.

Run Falcon-OCR locally — what to buy

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Sized to what Falcon-OCR actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Software support

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

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Frequently asked questions

What is Falcon-OCR?

Falcon-OCR is a compact 0.3B-parameter early-fusion vision-language model for document OCR, distinct from TII's Falcon P It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Falcon-OCR?

Falcon-OCR was developed by Technology Innovation Institute and released in 2026.

Is Falcon-OCR open source or proprietary?

Falcon-OCR is released as open source — its weights are publicly available to download, run locally and fine-tune.

How much does Falcon-OCR cost?

Pricing for Falcon-OCR depends on the provider. See the providers table on this page for the latest API rates.

How does Falcon-OCR perform on benchmarks?

Benchmark scores for Falcon-OCR are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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