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mistral-small-2503 Cost Calculator - IBM watsonx

Calculate the cost of using mistral-small-2503 from IBM watsonx for your AI applications

mistral-small-2503 Cost Calculator

Mode: Chat

Max: 32,000 tokens

Max: 32,000 tokens

Cost Breakdown

Input Cost$0.00010000
Output Cost$0.00030000
Total Cost$0.00040000

Pricing Details

Input: $0.0000001000 per token
Output: $0.0000003000 per token
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Model Specifications

Capabilities

✓Function Calling

Limits

Max Input Tokens32,000
Max Output Tokens32,000
Max Tokens32,000

About mistral-small-2503

mistral-small-2503 is a powerful chat AI model offered by IBM watsonx. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using mistral-small-2503 in your applications.

Pricing Information

Input Cost$0.10 per 1M tokens
Output Cost$0.30 per 1M tokens

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

Technical Specifications

Maximum Input Tokens32,000
Maximum Output Tokens32,000
Maximum Total Tokens32,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 32,000 input tokens. The maximum output length is 32,000 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Parallel Function Calling - Execute multiple functions simultaneously
When should you use mistral-small-2503?

mistral-small-2503 is best suited for the following scenarios:

  • Agentic systems with function or tool calling
  • Workflow automation and API orchestration
When should you avoid mistral-small-2503?
  • 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
How does mistral-small-2503 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 mistral-small-2503 pricing
  • mistral-small-2503 is a general-purpose AI model provided by IBM watsonx.
  • Input tokens are priced at $0.10 per 1M tokens.
  • Output tokens are priced at $0.30 per 1M tokens.
  • The model supports a maximum input capacity of 32,000 tokens.
  • Maximum output length is 32,000 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 custom functions and tools.
  • IBM watsonx offers mistral-small-2503 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.

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mistral-small-2503 Cost Calculator - IBM watsonx | Bifrost