mistral-7b-instruct Cost Calculator - OpenRouter

Calculate the cost of using mistral-7b-instruct from OpenRouter for your AI applications

mistral-7b-instruct Cost Calculator

Mode: Chat

Input Tokens

Max: 32,768 tokens

Output Tokens

Max: 8,191 tokens

Cost Breakdown

Input Cost$0.00013000

Output Cost$0.00013000

Total Cost$0.00026000

Pricing Details

Input: $0.0000001300 per token

Output: $0.0000001300 per token

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Model Specifications

Limits

Max Input Tokens32,768

Max Output Tokens8,191

Max Tokens8,191

About mistral-7b-instruct

mistral-7b-instruct 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 mistral-7b-instruct in your applications.

Pricing Information

Input Cost$0.13 per 1M tokens

Output Cost$0.13 per 1M tokens

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

Technical Specifications

Maximum Input Tokens32,768

Maximum Output Tokens8,191

Maximum Total Tokens8,191

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 32,768 input tokens. The maximum output length is 8,191 tokens.

When should you use mistral-7b-instruct?

mistral-7b-instruct is best suited for the following scenarios:

General-purpose chat and text generation workloads

When should you avoid mistral-7b-instruct?

Complex multi-step reasoning or planning tasks
Applications requiring image, audio, or multimodal inputs
Very large documents or long conversational histories

How does mistral-7b-instruct compare to similar models?

This model offers competitive input token pricing, making it cost-effective for applications that require extensive context or frequent input processing.

Understanding mistral-7b-instruct pricing

mistral-7b-instruct is a general-purpose AI model provided by OpenRouter.
Input tokens are priced at $0.13 per 1M tokens.
Output tokens are priced at $0.13 per 1M tokens.
The model supports a maximum input capacity of 32,768 tokens.
Maximum output length is 8,191 tokens.
For this model, input tokens are more expensive than output tokens, so optimizing your prompts can help manage costs.
OpenRouter offers mistral-7b-instruct for general-purpose AI workloads — general-purpose AI workloads.

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.