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minimax-m2p1 Cost Calculator - Fireworks AI

Calculate the cost of using minimax-m2p1 from Fireworks AI for your AI applications

minimax-m2p1 Cost Calculator

Mode: Chat

Max: 204,800 tokens

Max: 204,800 tokens

Cost Breakdown

Input Cost$0.00030000
Output Cost$0.001200
Total Cost$0.001500

Pricing Details

Input: $0.0000003000 per token
Output: $0.00000120 per token
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Model Specifications

Capabilities

✓Function Calling

Limits

Max Input Tokens204,800
Max Output Tokens204,800
Max Tokens204,800

About minimax-m2p1

minimax-m2p1 is a powerful chat AI model offered by Fireworks AI. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using minimax-m2p1 in your applications.

Pricing Information

Input Cost$0.30 per 1M tokens
Output Cost$1.20 per 1M tokens

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

Technical Specifications

Maximum Input Tokens204,800
Maximum Output Tokens204,800
Maximum Total Tokens204,800

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 204,800 input tokens. The maximum output length is 204,800 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Response Schema - Structured output formatting
When should you use minimax-m2p1?

minimax-m2p1 is best suited for the following scenarios:

  • 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 minimax-m2p1?
  • 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
How does minimax-m2p1 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 minimax-m2p1 pricing
  • minimax-m2p1 is a general-purpose AI model provided by Fireworks AI.
  • Input tokens are priced at $0.30 per 1M tokens.
  • Output tokens are priced at $1.20 per 1M tokens.
  • The model supports a maximum input capacity of 204,800 tokens.
  • Maximum output length is 204,800 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.
  • Fireworks AI offers minimax-m2p1 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.