Baidu Qianfan-OCR-Fast (free)

Qianfan-OCR-Fast (free) by Baidu excels in the Coding category, where it ranks #178 with a composite score of 40/100. 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. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Qianfan-OCR-Fast (free) is priced at $0.00 per million input tokens and $0.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Qianfan-OCR-Fast (free) holds rank #178 out of 322 models tracked. Its quality rank is #178 and adoption rank is #178. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Qianfan-OCR-Fast (free) has been evaluated across 5 different signals. Its strongest areas include Capabilities (50/100), Pricing (100/100), Context Window (76/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

Qianfan-OCR-Fast (free) is available as a free, open-source model. You can run it locally or use it through various hosting providers. Some API providers may charge for hosted inference, so check individual provider pricing.

Qianfan-OCR-Fast (free) supports a 66K token context window (65,536 tokens total). That translates to roughly 49,152 words in a single prompt. Plenty for most coding tasks, medium-length documents, and extended conversations.

Qianfan-OCR-Fast (free) can generate up to 29K output tokens (28,672 tokens) per response. That is roughly 21,504 words. This is enough for generating complete code files, detailed reports, or long-form content in a single response.

Qianfan-OCR-Fast (free) supports image understanding (vision), extended reasoning/chain-of-thought, streaming responses. Vision support means it can analyze images, screenshots, and diagrams alongside text. These capabilities determine which workflows and integrations the model can handle natively.

Qianfan-OCR-Fast (free) was developed by Baidu. It was released on April 20, 2026. You can access it through Baidu's API. Check our provider page for all models from Baidu and how they compare against each other.

Pick Qianfan-OCR-Fast (free) when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Qianfan-OCR-Fast (free) through Baidu's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.