Baidu: Qianfan-OCR-Fast
Analysis Summary
Baidu’s Qianfan-OCR-Fast is a vision model that accepts images and returns text, with a listed context window of 65,536 tokens. Its positioning suggests a focused role in OCR-style workflows rather than general reasoning or content generation. The supplied data includes pricing but no benchmark results, so there is no measured evidence here for extraction accuracy or handling of difficult layouts.
A business could evaluate it for document digitization, image text extraction, or as one component in a larger document-processing pipeline. Before deployment, test it on the actual mix of scans, tables, low-quality images, and document formats in scope, then measure correction rates and downstream impact. No tool-use or function-calling support is listed, which limits evidence for more integrated agent workflows.
Treat Qianfan-OCR-Fast as a specialist candidate, not a general-purpose model. Adopt it only after task-specific OCR evaluation demonstrates reliable extraction at an acceptable cost.
Assessed September 23, 2026
Editorial notes
Qianfan-OCR-Fast is a vision model with image-to-text support and a moderate context window, but no benchmark results are supplied to establish OCR accuracy or reliability.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Qianfan-OCR-Fast is a vision model with image-to-text support and a moderate context window, but no benchmark results are supplied to establish OCR accuracy or reliability.
How Baidu: Qianfan-OCR-Fast compares
Its 66K-token context window is larger than 29% of the models we list. At $0.68 per million input tokens it is cheaper than 29% 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.
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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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.