Qwen2.5-Coder-3B-Instruct Cost Calculator - Nscale

Calculate the cost of using Qwen2.5-Coder-3B-Instruct from Nscale for your AI applications

Qwen2.5-Coder-3B-Instruct Cost Calculator

Mode: Chat

Input Tokens

Output Tokens

Cost Breakdown

Input Cost$0.00001000

Output Cost$0.00003000

Total Cost$0.00004000

Pricing Details

Input: $0.0000000100 per token

Output: $0.0000000300 per token

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About Qwen2.5-Coder-3B-Instruct

Qwen2.5-Coder-3B-Instruct is a powerful chat AI model offered by Nscale. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using Qwen2.5-Coder-3B-Instruct in your development applications.

Pricing Information

Input Cost$0.01 per 1M tokens

Output Cost$0.03 per 1M tokens

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

When should you use Qwen2.5-Coder-3B-Instruct?

Qwen2.5-Coder-3B-Instruct is best suited for the following scenarios:

Code generation and completion
Bug fixing and refactoring
Developer tooling and IDE assistants

When should you avoid Qwen2.5-Coder-3B-Instruct?

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
Very large documents or long conversational histories
Non-technical content generation or general-purpose chat
Creative writing or marketing copy generation

How does Qwen2.5-Coder-3B-Instruct 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 Qwen2.5-Coder-3B-Instruct pricing

Qwen2.5-Coder-3B-Instruct is a coding and software development model provided by Nscale.
Input tokens are priced at $0.01 per 1M tokens.
Output tokens are priced at $0.03 per 1M tokens.
For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
Nscale offers Qwen2.5-Coder-3B-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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