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Phi-4-multimodal-instruct Cost Calculator - Azure AI

Calculate the cost of using Phi-4-multimodal-instruct from Azure AI for your AI applications

Phi-4-multimodal-instruct Cost Calculator

Mode: Chat

Max: 131,072 tokens

Max: 4,096 tokens

Cost Breakdown

Input Cost$0.00008000
Output Cost$0.00032000
Total Cost$0.00040000

Pricing Details

Input: $0.0000000800 per token
Output: $0.0000003200 per token
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Model Specifications

Capabilities

✓Function Calling
✓Vision
✓Audio Input

Limits

Max Input Tokens131,072
Max Output Tokens4,096
Max Tokens4,096

About Phi-4-multimodal-instruct

Phi-4-multimodal-instruct is a powerful chat AI model offered by Azure AI. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using Phi-4-multimodal-instruct in your applications.

Pricing Information

Input Cost$0.08 per 1M tokens
Output Cost$0.32 per 1M tokens

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

Technical Specifications

Maximum Input Tokens131,072
Maximum Output Tokens4,096
Maximum Total Tokens4,096

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 131,072 input tokens. The maximum output length is 4,096 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Vision - Process and understand images
✓Audio Input - Accept audio data as input
When should you use Phi-4-multimodal-instruct?

Phi-4-multimodal-instruct 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
  • Multimodal applications requiring image or audio processing
  • Content analysis across multiple media types
When should you avoid Phi-4-multimodal-instruct?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Complex multi-step reasoning or planning tasks
How does Phi-4-multimodal-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 Phi-4-multimodal-instruct pricing
  • Phi-4-multimodal-instruct is a general-purpose AI model provided by Azure AI.
  • Input tokens are priced at $0.08 per 1M tokens.
  • Output tokens are priced at $0.32 per 1M tokens.
  • The model supports a maximum input capacity of 131,072 tokens.
  • Maximum output length is 4,096 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • The model includes vision capabilities for processing and analysing images.
  • Supports function calling for executing custom functions and tools.
  • Supports audio input for processing audio data.
  • Azure AI offers Phi-4-multimodal-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.

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