OpenAI GPT-4.1-mini
Version: 2025-04-14
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Key capabilities
About this model
The gpt-4.1 series is the latest iteration of thegpt-4o model family. 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
As with the previous gpt-4o-mini model version it supports both text and vision in the with low cost and latency, enabling a wide variety of tasks including applications that chain or parallelize multiple model calls (e.g., calling multiple APIs), pass a large volume of context to the model (e.g., full code base or conversation history), or interact with customers through fast, real-time text responses (e.g., customer support chatbots).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
The provider has not supplied this information.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
As with the previous gpt-4o-mini model version it 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
In addition, 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
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Training, testing and validation
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Distribution channels
The provider has not supplied this information.More information
The provider has not supplied this 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
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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 Index0.80
LicenseCustom
Training DataMay 2024
Last UpdatedDecember 2025
Input TypeText,Image
Output TypeText
ProviderOpenAI
Languages27 Languages
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