Calculate the cost of using Phi-4-reasoning from Azure for your AI applications
Pricing data last updated:
Mode: Chat
Max: 32,768 tokens
Max: 4,096 tokens
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Phi-4-reasoning 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 383 out of 2292 chat models by cost and cheaper than 83% of models in this category. Phi-4-reasoning supports function calling, reasoning. It accepts up to 33K 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 32,768 input tokens. The maximum output length is 4,096 tokens.
At $0.13 per 1M input tokens and $0.50 per 1M output tokens, Phi-4-reasoning ranks 383 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-reasoning is one of 190 Azure chat models, with support for function calling, reasoning.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Phi-4-reasoning |
|---|---|---|---|---|
| qwen3-next-80b-a3b-thinking | Dashscope | $0.15 | $1.20 | +20% |
| deepseek-v4-flash | Fireworks AI | $0.14 | $0.28 | +12% |
| gpt-oss-120b | Fireworks AI | $0.15 | $0.60 | +20% |
Similar chat models from other providers
Yes. Phi-4-reasoning costs $0.13 per 1M input tokens compared to qwen3-next-80b-a3b-thinking's $0.15 per 1M input tokens, making it 20% more affordable. Both are chat models and share support for function calling, reasoning.
Phi-4-reasoning input pricing is $0.13 per 1M tokens, which is 77% below the median of $0.55 for chat models. It ranks 383 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-reasoning ranks 14 by input cost.
The most comparable chat models to Phi-4-reasoning are: qwen3-next-80b-a3b-thinking from Dashscope ($0.15/1M input tokens); deepseek-v4-flash from Fireworks AI ($0.14/1M input tokens); gpt-oss-120b from Fireworks AI ($0.15/1M input tokens); gemini-2.5-flash-lite from Vertex AI ($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.
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Phi-4-reasoning 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.
