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qwen3-coder Cost Calculator - OpenRouter

Calculate the cost of using qwen3-coder from OpenRouter for your AI applications

qwen3-coder Cost Calculator

Mode: Chat

Max: 262,100 tokens

Max: 262,100 tokens

Cost Breakdown

Input Cost$0.00022000
Output Cost$0.00095000
Total Cost$0.001170

Pricing Details

Input: $0.0000002200 per token
Output: $0.0000009500 per token
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Model Specifications

Capabilities

✓Function Calling

Limits

Max Input Tokens262,100
Max Output Tokens262,100
Max Tokens262,100

About qwen3-coder

qwen3-coder 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 qwen3-coder in your development applications.

Pricing Information

Input Cost$0.22 per 1M tokens
Output Cost$0.95 per 1M tokens

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

Technical Specifications

Maximum Input Tokens262,100
Maximum Output Tokens262,100
Maximum Total Tokens262,100

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 262,100 input tokens. The maximum output length is 262,100 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
When should you use qwen3-coder?

qwen3-coder 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 qwen3-coder?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • 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 qwen3-coder compare to similar models?

Compared to other models in a similar category, this model is more cost-efficient on input tokens but relatively expensive on output tokens. It is better suited for retrieval-heavy or context-rich workflows than generation-heavy use cases.

Understanding qwen3-coder pricing
  • qwen3-coder is a coding and software development model provided by OpenRouter.
  • Input tokens are priced at $0.22 per 1M tokens.
  • Output tokens are priced at $0.95 per 1M tokens.
  • The model supports a maximum input capacity of 262,100 tokens, capable of working with large codebases and complex software projects.
  • Maximum output length is 262,100 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.
  • OpenRouter offers qwen3-coder 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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qwen3-coder Cost Calculator - OpenRouter | Bifrost