OpenAI GPT-4.1-nano
OpenAI GPT-4.1-nano
Version: 2025-04-14
OpenAILast updated November 2025
gpt-4.1-nano provides gains in coding, instruction following, and long-context handling along with lower latency and cost
Multipurpose
Multilingual
Multimodal

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Key capabilities

About this model

This iteration of models is specifically targeted for better coding and instruction following, making it better at handling complex technical and coding problems.

Key model capabilities

This iteration of models is specifically targeted for better coding and instruction following, making it better at handling complex technical and coding problems. gpt-4.1-nano supports both text and vision provides an even lower cost and latency compared to the gpt-4o and gpt-4o-mini models.

Use cases

See Responsible AI for additional considerations for responsible use.

Key use cases

The provider has not supplied this information.

Out of scope use cases

Prompts and completions are passed through a default configuration of Azure AI Content Safety classification models to detect and prevent the output of harmful content. Learn more about Azure AI Content Safety . Additional classification models and configuration options are available when you deploy an Azure OpenAI model in production; learn more .

Pricing

Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.

Technical specs

The provider has not supplied this information.

Training cut-off date

The provider has not supplied this information.

Training time

The provider has not supplied this information.

Input formats

gpt-4.1-nano supports both text and vision

Output formats

The provider has not supplied this information.

Supported languages

The provider has not supplied this information.

Sample JSON response

The provider has not supplied this information.

Model architecture

The provider has not supplied this information.

Long context

it increases the context token limit up to 1M input tokens and provides separate billing for small context (128k) and large (up to 1M) context inputs.

Optimizing model performance

The provider has not supplied this information.

Additional assets

The provider has not supplied this information.

Training disclosure

Training, testing and validation

The provider has not supplied this information.

Distribution

Distribution channels

This model is provided through the Azure OpenAI service.

More information

Responsible AI considerations

Safety techniques

Prompts and completions are passed through a default configuration of Azure AI Content Safety classification models to detect and prevent the output of harmful content. Learn more about Azure AI Content Safety . Additional classification models and configuration options are available when you deploy an Azure OpenAI model in production; learn more .

Safety evaluations

The provider has not supplied this information.

Known limitations

The provider has not supplied this information.

Acceptable use

Acceptable use policy

The provider has not supplied this information.

Quality and performance evaluations

Source: OpenAI The provider has not supplied this information.

Benchmarking methodology

Source: OpenAI The provider has not supplied this information.

Public data summary

Source: OpenAI The provider has not supplied this information.
Model Specifications
Context Length1048576
Quality Index0.69
LicenseCustom
Training DataMay 2024
Last UpdatedNovember 2025
Input TypeText,Image
Output TypeText
ProviderOpenAI
Languages27 Languages