DevTk.AI

GPT-4.1 Nano

OpenAI

GPT-4.1 Nano by OpenAI costs $0.1/M input, $0.4/M output with 1.0M context window. Updated February 2026. Compare with GPT-5, Claude, Gemini & 40+ models.

Input Price

$0.10

per 1M tokens

Output Price

$0.40

per 1M tokens

Context Window

1.0M

tokens

Specifications

ProviderOpenAI
Model IDgpt-4-1-nano
Input Price$0.1 / 1M tokens
Output Price$0.4 / 1M tokens
Context Window1.0M tokens
Max Output16K tokens
Capabilities
textfunction_callingstructured_output
Release Date2025-04

Monthly Cost Estimates

Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split).

Daily TokensMonthly CostAnnual Cost
10K $0.07 $0.90
50K $0.38 $4.50
100K $0.75 $9.00
500K $3.75 $45.00
1.0M $7.50 $90.00

About GPT-4.1 Nano

GPT-4.1 Nano is a large language model by OpenAI. It features a 1.0M token context window with up to 16K tokens of output per request. The model supports 3 capabilities: text, function_calling, structured_output.

At $0.1 per million input tokens and $0.4 per million output tokens, GPT-4.1 Nano is positioned as a cost-effective option in the OpenAI lineup. Use our Token Counter to estimate how many tokens your prompts use, and our Pricing Calculator to compare costs across all models.

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FAQ

How much does GPT-4.1 Nano cost?

GPT-4.1 Nano costs $0.1 per million input tokens and $0.4 per million output tokens. For a typical workload of 100K tokens/day, expect approximately $0.90/month.

What is GPT-4.1 Nano's context window?

GPT-4.1 Nano supports a context window of 1.0M tokens. This means your combined input prompt and output response can be up to 1.0M tokens. The maximum output per response is 16K tokens.

Is GPT-4.1 Nano good for my use case?

GPT-4.1 Nano supports text, function_calling, structured_output. As a budget-friendly model, it works well for high-volume tasks like classification, summarization, and simple generation. Use our Pricing Calculator to compare with alternatives.