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qianfan-ocr-fast Cost Calculator - OpenRouter

Calculate the cost of using qianfan-ocr-fast from OpenRouter for your AI applications

qianfan-ocr-fast Cost Calculator

Mode: Chat

Max: 65,536 tokens

Max: 28,672 tokens

Cost Breakdown

Input Cost$0.00068000
Output Cost$0.002810
Total Cost$0.003490

Pricing Details

Input: $0.0000006800 per token
Output: $0.00000281 per token
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Model Specifications

Capabilities

✓Vision
✓Reasoning

Limits

Max Input Tokens65,536
Max Output Tokens28,672
Max Tokens28,672

About qianfan-ocr-fast

qianfan-ocr-fast is a powerful chat AI model offered by OpenRouter. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using qianfan-ocr-fast in your applications.

Pricing Information

Input Cost$0.68 per 1M tokens
Output Cost$2.81 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens65,536
Maximum Output Tokens28,672
Maximum Total Tokens28,672

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 65,536 input tokens. The maximum output length is 28,672 tokens.

Model Capabilities

✓Vision - Process and understand images
✓Advanced Reasoning - Complex problem-solving capabilities
When should you use qianfan-ocr-fast?

qianfan-ocr-fast is best suited for the following scenarios:

  • Document OCR for scanned PDFs and images
  • Form and invoice digitization
  • Searchable archives and compliance workflows
When should you avoid qianfan-ocr-fast?
  • General-purpose chat or creative writing
  • Text-to-speech or audio transcription
  • Image generation workflows
How does qianfan-ocr-fast compare to similar models?

This is an OCR-focused model. Compared to general-purpose models, OCR pricing often scales per page or per image. When comparing alternatives, evaluate extraction quality on your document types and how costs scale with page volume.

Understanding qianfan-ocr-fast pricing
  • qianfan-ocr-fast is a OCR and document extraction model provided by OpenRouter.
  • Input tokens are priced at $0.68 per 1M tokens.
  • Output tokens are priced at $2.81 per 1M tokens.
  • The model supports a maximum input capacity of 65,536 tokens.
  • Maximum output length is 28,672 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • The model includes vision capabilities for processing and analysing images.
  • Features advanced reasoning capabilities for complex problem-solving tasks.
  • OpenRouter offers qianfan-ocr-fast for OCR and document extraction workloads, document OCR, form extraction, and searchable archives.

How to Use This Calculator

Step 1: Enter the number of input tokens you expect to use. Input tokens include your prompt, system messages, and any context you provide to the model.

Step 2: Specify the number of output tokens you anticipate. Output tokens are the text generated by the model in response to your input.

Step 3: Review the cost breakdown to see the total estimated cost for your usage. The calculator automatically updates as you adjust the token counts.