Baidu: Qianfan-OCR-Fast
Analysis Summary
Qianfan-OCR-Fast is a specialised Baidu model for extracting text from images, with a 65K context window and text plus image input. Its narrow positioning is useful for scanned documents, screenshots, forms, receipts, and other visual assets that need to enter a digital content workflow.
For agency operations, it can support OCR preprocessing, archive conversion, image-based content audits, and document intake before another model performs analysis or drafting. It should not be treated as a general reasoning, coding, or client-copy model. No benchmark data is supplied for this variant, so extraction accuracy and robustness across difficult layouts require direct testing.
The listed pricing is reasonable for a specialist utility. Adopt it as a preprocessing component where visual text capture is the main requirement, rather than as a standalone assistant.
Assessed September 7, 2026
Editorial notes
Qianfan-OCR-Fast is a focused vision model with 65K context and text-image input, suited to document extraction, but it has no benchmark data for broader reasoning or workflow reliability.
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DFO Verdict
Qianfan-OCR-Fast is a focused vision model with 65K context and text-image input, suited to document extraction, but it has no benchmark data for broader reasoning or workflow reliability.
How Baidu: Qianfan-OCR-Fast compares
Its 66K-token context window is larger than 27% of the models we list. At $0.68 per million input tokens it is cheaper than 33% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.68 | $0.000680 |
| Output | $2.81 | $0.002810 |
What would Baidu: Qianfan-OCR-Fast cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Baidu: Qianfan-OCR-Fast for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Baidu: Qianfan-OCR-Fast
Qianfan-OCR-Fast is a domain-specific multimodal large model purpose-built for OCR. By leveraging specialized OCR training data while preserving versatile multimodal intelligence, it provides a powerful performance upgrade over Qianfan-OCR.
Frequently asked questions about Baidu: Qianfan-OCR-Fast
How much does Baidu: Qianfan-OCR-Fast cost?
Baidu: Qianfan-OCR-Fast costs $0.68 per million input tokens and $2.81 per million output tokens.
What is the context window of Baidu: Qianfan-OCR-Fast?
Baidu: Qianfan-OCR-Fast has a context window of 65,536 tokens (66K).
What can Baidu: Qianfan-OCR-Fast do?
Baidu: Qianfan-OCR-Fast supports image/vision input.
Who created Baidu: Qianfan-OCR-Fast?
Baidu: Qianfan-OCR-Fast is developed by Baidu and was released on April 20, 2026.