GPT-4.1 mini Reviews (2025)

What is GPT-4.1 mini?

GPT-4.1 mini is a more lightweight version of the GPT-4.1 model, designed to offer faster response times and reduced latency, making it an excellent choice for applications that require real-time AI interaction. Despite its smaller size, GPT-4.1 mini retains the core capabilities of the full GPT-4.1 model, including handling up to 1 million tokens of context and excelling at tasks like coding and instruction following. With significant improvements in efficiency and cost-effectiveness, GPT-4.1 mini is ideal for developers and businesses looking for powerful, low-latency AI solutions.

Pricing

Price Starts At:

$0.40 per 1M tokens (input)

Price Overview:

$0.40 per 1 million tokens (input)
$0.10 per 1 million tokens (cached input)
$1.60 per 1 million tokens (output)

Integrations

Offers API?:

Yes, GPT-4.1 mini provides an API

All GPT-4.1 mini Integrations

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Screenshots and Video

Company Facts

Company Name:

OpenAI

Date Founded:

2015

Company Location:

United States

Company Website:

openai.com/index/gpt-4-1/

Product Details

Deployment

SaaS

Training Options

Documentation Hub

Support

Web-Based Support

Product Details

Target Company Sizes

Individual

1-10

11-50

51-200

201-500

501-1000

1001-5000

5001-10000

10001+

Target Organization Types

Mid Size Business

Small Business

Enterprise

Freelance

Nonprofit

Government

Startup

Supported Languages

Albanian

Arabic

Armenian

Basque

Bengali

Bulgarian

Catalan

Chinese (Mandarin)

Chinese (Simplified)

Croatian

Czech

Danish

Dutch

English

Estonian

Finnish

French

View All

GPT-4.1 mini Categories and Features

Large Language Models

AI Models

vs.

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GPT-4.1 nano is a highly efficient, smaller-scale version of the GPT-4.1 model, built for high-speed, low-cost AI applications. It retains the core capabilities of the GPT-4.1 series, including support for a 1 million token context window, but with optimized performance for tasks like...

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vs.

GPT-4.1

GPT-4.1 is a cutting-edge AI model from OpenAI, offering major advancements in performance, especially for tasks requiring complex reasoning and large context comprehension. With the ability to process up to 1 million tokens, GPT-4.1 delivers more accurate and reliable results for tasks like...

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vs.

OpenAI o3-mini

The o3-mini, developed by OpenAI, is a refined version of the advanced o3 AI model, providing powerful reasoning capabilities in a more compact and accessible design. It excels at breaking down complex instructions into manageable steps, making it especially proficient in areas such as coding,...

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vs.

MiniMax M1

The MiniMax‑M1 model, created by MiniMax AI and available under the Apache 2.0 license, marks a remarkable leap forward in hybrid-attention reasoning architecture. It boasts an impressive ability to manage a context window of 1 million tokens and can produce outputs of up to 80,000 tokens, which...

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vs.

OpenAI o4-mini-high

OpenAI o4-mini-high offers the performance of a larger AI model in a smaller, more cost-efficient package. With enhanced capabilities in fields like visual perception, coding, and complex problem-solving, o4-mini-high is built for those who require high-throughput, low-latency AI assistance....

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vs.

Grok 3 mini

The Grok-3 Mini, a creation of xAI, functions as a swift and astute AI companion tailored for those in search of quick yet thorough answers to their questions. While maintaining the essential features of the Grok series, this smaller model presents a playful yet profound perspective on diverse...

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vs.

Reka Flash 3

Reka Flash 3 stands as a state-of-the-art multimodal AI model, boasting 21 billion parameters and developed by Reka AI, to excel in diverse tasks such as engaging in general conversations, coding, adhering to instructions, and executing various functions. This innovative model skillfully...

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vs.

LTM-2-mini

LTM-2-mini is designed to manage a context of 100 million tokens, which is roughly equivalent to about 10 million lines of code or approximately 750 full-length novels. This model utilizes a sequence-dimension algorithm that proves to be around 1000 times more economical per decoded token...

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vs.

GPT-5 mini

GPT-5 mini is a faster, more affordable variant of OpenAI’s advanced GPT-5 language model, specifically tailored for well-defined and precise tasks that benefit from high reasoning ability. It accepts both text and image inputs (image input only), and generates high-quality text outputs,...

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vs.

Phi-4-mini-flash-reasoning

The Phi-4-mini-flash-reasoning model, boasting 3.8 billion parameters, is a key part of Microsoft's Phi series, tailored for environments with limited processing capabilities such as edge and mobile platforms. Its state-of-the-art SambaY hybrid decoder architecture combines Gated Memory Units...

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GPT-4.1 nano is a highly efficient, smaller-scale version of the GPT-4.1 model, built for high-speed, low-cost AI applications. It retains the core capabilities of the GPT-4.1 series, including support for a 1 million token context window, but with optimized performance for tasks like...

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MiniMax M1

The MiniMax‑M1 model, created by MiniMax AI and available under the Apache 2.0 license, marks a remarkable leap forward in hybrid-attention reasoning architecture. It boasts an impressive ability to manage a context window of 1 million tokens and can produce outputs of up to 80,000 tokens, which...

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