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qwen25-coder-32b-instruct Cost Calculator - Lambda Ai

Calculate the cost of using qwen25-coder-32b-instruct from Lambda Ai for your AI applications

qwen25-coder-32b-instruct Cost Calculator

Mode: Chat

Max: 131,072 tokens

Max: 131,072 tokens

Cost Breakdown

Input Cost$0.00005000
Output Cost$0.00010000
Total Cost$0.00015000

Pricing Details

Input: $0.0000000500 per token
Output: $0.0000001000 per token
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Model Specifications

Capabilities

✓Function Calling

Limits

Max Input Tokens131,072
Max Output Tokens131,072
Max Tokens131,072

About qwen25-coder-32b-instruct

qwen25-coder-32b-instruct is a powerful chat AI model offered by Lambda Ai. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using qwen25-coder-32b-instruct in your development applications.

Pricing Information

Input Cost$0.05 per 1M tokens
Output Cost$0.10 per 1M tokens

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

Technical Specifications

Maximum Input Tokens131,072
Maximum Output Tokens131,072
Maximum Total Tokens131,072

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 131,072 input tokens. The maximum output length is 131,072 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓System Messages - Configure model behavior
✓Parallel Function Calling - Execute multiple functions simultaneously
When should you use qwen25-coder-32b-instruct?

qwen25-coder-32b-instruct is best suited for the following scenarios:

  • Code generation and completion
  • Bug fixing and refactoring
  • Developer tooling and IDE assistants
  • Long-context chat and document analysis
  • Agent workflows with large memory windows
  • Agentic systems with function or tool calling
  • Workflow automation and API orchestration
When should you avoid qwen25-coder-32b-instruct?
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
  • Non-technical content generation or general-purpose chat
  • Creative writing or marketing copy generation
How does qwen25-coder-32b-instruct compare to similar models?

This model supports a larger context window than many alternatives, making it suitable for long-form inputs and memory-intensive applications.

Understanding qwen25-coder-32b-instruct pricing
  • qwen25-coder-32b-instruct is a coding and software development model provided by Lambda Ai.
  • Input tokens are priced at $0.05 per 1M tokens.
  • Output tokens are priced at $0.10 per 1M tokens.
  • The model supports a maximum input capacity of 131,072 tokens, capable of working with large codebases and complex software projects.
  • Maximum output length is 131,072 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • Supports function calling for executing code snippets, API calls, and development tools.
  • Lambda Ai offers qwen25-coder-32b-instruct for coding and software development workloads — code generation, code completion, debugging, and software development tasks.

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.

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qwen25-coder-32b-instruct Cost Calculator - Lambda Ai | Bifrost