Calculate the cost of using Phi-4 from Azure for your AI applications
Pricing data last updated:
Mode: Chat
Max: 16,384 tokens
Max: 16,384 tokens
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Phi-4 is a chat model from Azure, one of 190 chat models they offer. It is priced at $0.13 per 1M input tokens and $0.50 per 1M output tokens, ranking 382 out of 2292 chat models by cost and cheaper than 83% of models in this category. Phi-4 supports function calling. It accepts up to 16K 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 16,384 input tokens. The maximum output length is 16,384 tokens.
At $0.13 per 1M input tokens and $0.50 per 1M output tokens, Phi-4 ranks 382 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 83% of models in this category.
Phi-4 is one of 190 Azure chat models, with support for function calling.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Phi-4 |
|---|---|---|---|---|
| Mistral-7B-Instruct-v0.1 | Anyscale | $0.15 | $0.15 | +20% |
| Mixtral-8x7B-Instruct-v0.1 | Anyscale | $0.15 | $0.15 | +20% |
| llama3.1-8b | Cerebras | $0.10 | $0.10 | -20% |
Similar chat models from other providers
Yes. Phi-4 costs $0.13 per 1M input tokens compared to Mistral-7B-Instruct-v0.1's $0.15 per 1M input tokens, making it 20% more affordable. Both are chat models and share support for function calling.
Phi-4 input pricing is $0.13 per 1M tokens, which is 77% below the median of $0.55 for chat models. It ranks 382 out of 2292 chat models by input cost, making it cheaper than 83% of models in this category. For output, it costs $0.50 per 1M tokens compared to the median of $1.50.
Among Azure's 190 chat models, Phi-4 ranks 13 by input cost.
The most comparable chat models to Phi-4 are: Mistral-7B-Instruct-v0.1 from Anyscale ($0.15/1M input tokens); Mixtral-8x7B-Instruct-v0.1 from Anyscale ($0.15/1M input tokens); llama3.1-8b from Cerebras ($0.10/1M input tokens); command-r from Cohere ($0.15/1M 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 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 $0.13 and generating 1M output tokens costs $0.50.
