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ft:gpt-4.1-nano-2025-04-14 Cost Calculator - OpenAI

Calculate the cost of using ft:gpt-4.1-nano-2025-04-14 from OpenAI for your AI applications

Pricing data last updated:

ft:gpt-4.1-nano-2025-04-14 Cost Calculator

Mode: Chat

Max: 1,047,576 tokens

Max: 32,768 tokens

Cost Breakdown

Input Cost$0.00020000
Output Cost$0.00080000
Total Cost$0.001000

Pricing Details

Input: $0.0000002000 per token
Output: $0.0000008000 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens1,047,576
Max Output Tokens32,768
Max Tokens32,768

About ft:gpt-4.1-nano-2025-04-14

ft:gpt-4.1-nano-2025-04-14 is a chat model from OpenAI, one of 98 chat models they offer. It is priced at $0.20 per 1M input tokens and $0.80 per 1M output tokens, ranking 550 out of 2168 chat models by cost and cheaper than 68% of models in this category. ft:gpt-4.1-nano-2025-04-14 supports function calling, prompt caching, structured output. Its 1,048K-token context window is in the top 7% among chat models.

Pricing Information

Input Cost$0.20 per 1M tokens
Output Cost$0.80 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,047,576
Maximum Output Tokens32,768
Maximum Total Tokens32,768

Pro Tip

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.

Model Capabilities

Function Calling - Execute custom functions and tools
Prompt Caching - Optimize repeated prompts
System Messages - Configure model behavior
Parallel Function Calling - Execute multiple functions simultaneously
Response Schema - Structured output formatting

How ft:gpt-4.1-nano-2025-04-14 Pricing Compares

At $0.20 per 1M input tokens and $0.80 per 1M output tokens, ft:gpt-4.1-nano-2025-04-14 ranks 550 out of 2168 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 68% of models in this category.

ft:gpt-4.1-nano-2025-04-14 is one of 98 OpenAI chat models, with support for function calling, prompt caching, structured output. its 1,048K-token context window places it in the top 7% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs ft:gpt-4.1-nano-2025-04-14
gpt-5.4-nanoAzure$0.20$1.250%
gpt-5.4-nano-2026-03-17Azure$0.20$1.250%
gpt-4o-mini-2024-07-18Azure$0.17$0.66-17%

Alternatives to ft:gpt-4.1-nano-2025-04-14

Similar chat models from other providers

Azure
gpt-5.4-nano
$0.20/1M input
0% vs ft:gpt-4.1-nano-2025-04-14
Azure
gpt-5.4-nano-2026-03-17
$0.20/1M input
0% vs ft:gpt-4.1-nano-2025-04-14
Azure
gpt-4o-mini-2024-07-18
$0.17/1M input
-17% vs ft:gpt-4.1-nano-2025-04-14
Azure
gpt-4o-mini
$0.17/1M input
-17% vs ft:gpt-4.1-nano-2025-04-14
Azure
gpt-5-mini
$0.25/1M input
+25% vs ft:gpt-4.1-nano-2025-04-14

Frequently Asked Questions

Is ft:gpt-4.1-nano-2025-04-14 cheaper than gpt-5.4-nano?

No. ft:gpt-4.1-nano-2025-04-14 costs $0.20 per 1M input tokens while gpt-5.4-nano costs $0.20 per 1M input tokens, making gpt-5.4-nano 0% more affordable for input. However, ft:gpt-4.1-nano-2025-04-14 may offer different capabilities or performance characteristics that justify the price difference.

How does ft:gpt-4.1-nano-2025-04-14 pricing compare to the average chat model?

ft:gpt-4.1-nano-2025-04-14 input pricing is $0.20 per 1M tokens, which is 64% below the median of $0.55 for chat models. It ranks 550 out of 2168 chat models by input cost, making it cheaper than 68% of models in this category. For output, it costs $0.80 per 1M tokens compared to the median of $1.44.

What makes ft:gpt-4.1-nano-2025-04-14 different from other OpenAI models?

Among OpenAI's 98 chat models, ft:gpt-4.1-nano-2025-04-14 ranks 11 by input cost.

What are the best alternatives to ft:gpt-4.1-nano-2025-04-14?

The most comparable chat models to ft:gpt-4.1-nano-2025-04-14 are: gpt-5.4-nano from Azure ($0.20/1M input tokens); gpt-5.4-nano-2026-03-17 from Azure ($0.20/1M input tokens); gpt-4o-mini-2024-07-18 from Azure ($0.17/1M input tokens); gpt-4o-mini from Azure ($0.17/1M 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.

How large is ft:gpt-4.1-nano-2025-04-14's context window?

ft:gpt-4.1-nano-2025-04-14 supports up to 1,047,576 input tokens, placing it in the top 7% of chat models by context window size (rank 131 of 2093). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if OpenAI is down?

You can monitor OpenAI service health in real time on the Bifrost OpenAI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.

How do I calculate ft:gpt-4.1-nano-2025-04-14 costs?

ft:gpt-4.1-nano-2025-04-14 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 $0.20 and generating 1M output tokens costs $0.80.