Calculate the cost of using gpt-4.1-nano from Azure for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,047,576 tokens
Max: 32,768 tokens
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gpt-4.1-nano is a chat model from Azure, one of 303 chat models they offer. It is priced at $0.10 per 1M input tokens and $0.40 per 1M output tokens, ranking 382 out of 3648 chat models by cost and cheaper than 85% of models in this category. gpt-4.1-nano supports vision, function calling, prompt caching, structured output. Its 1,048K-token context window is in the top 14% among chat models.
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 1,047,576 input tokens. The maximum output length is 32,768 tokens.
At $0.10 per 1M input tokens and $0.40 per 1M output tokens, gpt-4.1-nano ranks 382 out of 3648 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 85% of models in this category.
gpt-4.1-nano is one of 303 Azure chat models, with support for vision, function calling, prompt caching, structured output. its 1,048K-token context window places it in the top 14% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs gpt-4.1-nano |
|---|---|---|---|---|
| gemini-2.5-flash-lite | Vertex AI | $0.10 | $0.40 | 0% |
| gemini-2.5-flash-lite-preview-09-2025 | Vertex AI | $0.10 | $0.40 | 0% |
| gemini-2.5-flash-lite | Google Gemini | $0.10 | $0.40 | 0% |
Similar chat models from other providers
No. gpt-4.1-nano costs $0.10 per 1M input tokens while gemini-2.5-flash-lite costs $0.10 per 1M input tokens, making gemini-2.5-flash-lite 0% more affordable for input. However, gpt-4.1-nano may offer different capabilities or performance characteristics that justify the price difference.
gpt-4.1-nano input pricing is $0.10 per 1M tokens, which is 83% below the median of $0.60 for chat models. It ranks 382 out of 3648 chat models by input cost, making it cheaper than 85% of models in this category. For output, it costs $0.40 per 1M tokens compared to the median of $1.76.
Among Azure's 303 chat models, gpt-4.1-nano ranks 13 by input cost.
The most comparable chat models to gpt-4.1-nano are: gemini-2.5-flash-lite from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-09-2025 from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite from Google Gemini ($0.10/1M input tokens); gpt-4.1-nano from OpenAI ($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.
gpt-4.1-nano supports up to 1,047,576 input tokens, placing it in the top 14% of chat models by context window size (rank 449 of 3371). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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gpt-4.1-nano 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 $0.10 and generating 1M output tokens costs $0.40.