Calculate the cost of using Phi-4-multimodal-instruct from Azure for your AI applications
Pricing data last updated:
Mode: Chat
Max: 131,072 tokens
Max: 4,096 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
Phi-4-multimodal-instruct is a chat model from Azure, one of 190 chat models they offer. It is priced at $0.08 per 1M input tokens and $0.32 per 1M output tokens, ranking 190 out of 2292 chat models by cost and cheaper than 91% of models in this category. Phi-4-multimodal-instruct supports vision, function calling, audio input — one of only 2 chat models with this combination. It accepts up to 131K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
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.
At $0.08 per 1M input tokens and $0.32 per 1M output tokens, Phi-4-multimodal-instruct ranks 190 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 91% of models in this category.
Phi-4-multimodal-instruct is one of 190 Azure chat models, one of only 2 chat models combining audio input, function calling, vision.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Phi-4-multimodal-instruct |
|---|---|---|---|---|
| gemini-2.0-flash | Vertex AI | $0.10 | $0.40 | +25% |
| gemini-2.0-flash | Google Gemini | $0.10 | $0.40 | +25% |
| gemini-2.5-flash-lite-preview-09-2025 | OpenRouter | $0.10 | $0.40 | +25% |
Similar chat models from other providers
Yes. Phi-4-multimodal-instruct costs $0.08 per 1M input tokens compared to gemini-2.0-flash's $0.10 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, audio input, audio output, web search, prompt caching, structured output.
Phi-4-multimodal-instruct input pricing is $0.08 per 1M tokens, which is 85% below the median of $0.55 for chat models. It ranks 190 out of 2292 chat models by input cost, making it cheaper than 91% of models in this category. For output, it costs $0.32 per 1M tokens compared to the median of $1.50.
Among Azure's 190 chat models, Phi-4-multimodal-instruct ranks 8 by input cost. Its combination of audio input, function calling, vision is shared by only 1 other chat model.
The most comparable chat models to Phi-4-multimodal-instruct are: gemini-2.0-flash from Vertex AI ($0.10/1M input tokens); gemini-2.0-flash from Google Gemini ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-09-2025 from OpenRouter ($0.10/1M input tokens); gemini-2.5-flash-lite from OpenRouter ($0.10/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
You can monitor Azure AI service health in real time on the Bifrost Azure AI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
Phi-4-multimodal-instruct is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.08 and generating 1M output tokens costs $0.32.
