GPT-4.1

OpenAI's latest intelligent model GPT-4.1: features superior programming capabilities, million-token processing, and precise instruction execution.
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GPT-4.1: Redefining Advanced AI Capabilities

Breakthrough in Coding Capabilities, Efficiency Boost

GPT 4.1 reaches 54.6% completion rate in SWE-bench tests, far exceeding GPT-4o's 33.2%. It excels in exploring codebases and generating working, test-passing code.

Practical improvements include 3-fold better code diff reliability and enhanced frontend development (80% evaluator preference). Redundant edits dropped from 9% to 2%.

For feature development, debugging, or code reviews, GPT-4.1 delivers precise, efficient support, becoming essential for developers.

Enhanced Instruction Following, More Natural Conversations

GPT 4.1 masters instruction understanding and execution, precisely handling format requirements, negative instructions, and content standards with improved accuracy.

It performs 10.5% better than GPT-4o in multi-turn conversations, better utilizing conversation history for more coherent communication.

In tax analysis, GPT-4.1 shows 53% improved accuracy, highlighting its excellence with professional regulations and complex instructions. These advances enhance AI reliability for enterprise support, professional analysis, and daily interactions.
Learn more about GPT 4.1 benchmarks

Ultra-Long Context Understanding Capability

GPT 4.1 supports 1 million tokens (about 750,000 words), exceeding the entire text of 'War and Peace.' This allows processing of massive documents and codebases while maintaining coherence.

This capability makes GPT-4.1 ideal for research and legal analysis, enabling developers to build more intelligent applications with stronger memory capabilities.
Explore GPT 4.1 cost advantages

Superior Image Understanding, Effortless Video Content Processing

GPT 4.1's visual capabilities precisely interpret images, charts, and video content. It excels in scientific chart interpretation and visual mathematical problems.

Most impressively, it understands 30-60 minute videos without subtitles, accurately answering content questions. This creates an all-around multimedia assistant that simplifies visual content processing.

👉 Download the plugin now to experience comprehensive video and image understanding capabilities.
GPT 4.1 release

Meet the GPT-4.1 Model Series

OpenAI's GPT 4.1 series models, including GPT 4.1 Mini and GPT 4.1 Nano, provide efficient, economical solutions suitable for applications requiring fast response and low-cost operation.
GPT-4.1 Mini
GPT 4.1 Mini is a small model launched by OpenAI that has made significant progress in performance. It performs excellently in many benchmarks, even surpassing GPT-4o. GPT-4.1 Mini matches or exceeds GPT-4o in intelligence assessments while reducing latency by nearly half and costs by 83%. This makes GPT-4.1 Mini an ideal choice for applications requiring efficiency and economy. Its pricing is $0.40/million tokens for standard input, $0.10/million tokens for cached input, and $1.60/million tokens for output. Additionally, using the Batch API can save 50% on input and output costs.
GPT-4.1 Nano
GPT 4.1 Nano is OpenAI's smallest, fastest, and most economical model, designed for applications requiring quick response and low-cost operation. It offers highly competitive pricing (standard input $0.10/million tokens, cached input $0.025/million tokens, output $0.40/million tokens). It achieves excellent results in benchmarks such as MMLU, GPQA, and Aider polyglot coding. Although its accuracy is slightly lower for some complex tasks, its efficient performance and highly competitive price make it an ideal choice for high-volume, cost-sensitive applications.

Compare GPT-4.1 with Other Models

In-depth analysis of the features and performance differences between GPT-4.1, GPT-4.5, and Claude 3.7 Sonnet, revealing their performance in code suggestions and other application areas.
GPT-4.1 VS GPT-4.5
GPT-4.1 VS Claude 3.7 Sonnet
Explore the key features, capabilities, and differences between GPT-4.1 and GPT-4.5 models.
GPT-4.1 VS GPT-4.5
Compare the performance of both models in code suggestions based on Qodo.ai's benchmark data
GPT-4.1 VS Claude 3.7 Sonnet

Frequently Asked Questions

When was the GPT 4.1 release?
GPT-4.1 was released in April 2025, bringing significant improvements in coding, instruction following, and visual understanding capabilities.
What do the GPT-4.1 benchmarks show?
GPT 4.1 benchmarks demonstrate impressive gains across multiple metrics, including a 54.6% completion rate in SWE-bench tests (compared to GPT-4o's 33.2%), 10.5% improvement in conversation coherence, and 53% better accuracy in complex tax analysis.
How can I access the GPT-4.1 API?
The GPT 4.1 API is available through OpenAI's developer platform. You'll need to sign up for API access and integrate it using the provided documentation and SDKs.
Is GPT-4.1 available on Azure?
Yes, GPT 4.1 Azure is fully integrated into the Azure OpenAI service.
What is the GPT 4.1 cost structure?
GPT-4.1 series offers a tiered pricing structure based on input and output tokens: GPT-4.1 Standard costs $2.00 per million tokens for input ($0.50 per million tokens for cached input) and $8.00 per million tokens for output. GPT-4.1 Mini is more economical, with input at $0.40 per million tokens and output at $1.60 per million tokens. The most cost-effective option is GPT-4.1 Nano, with input at just $0.10 per million tokens and output at $0.40 per million tokens.
Is there a GPT 4.1 mini version available?
Yes, GPT-4.1 mini offers a more compact version of the model with reduced parameters, providing a balance between performance and cost for less demanding applications. It delivers excellent results for everyday tasks while being more economical than the full version. You can try GPT-4.1 mini right now on Monica AI to experience its capabilities firsthand and see how it can enhance your productivity while maintaining budget efficiency.
What is the GPT 4.1 mini pricing compared to the full version?
GPT-4.1 mini is priced 80% lower than the full version, with input costs of $0.40 per million tokens (vs $2.00) and output costs of $1.60 per million tokens (vs $8.00). This makes it an ideal choice for small businesses and budget-constrained projects while maintaining excellent performance.
How does GPT 4.1 vs 4.5 compare?
GPT-4.1 offers a 1 million token context window (compared to GPT-4.5's 128,000 tokens) and achieves a 54.6% completion rate in SWE-bench tests. GPT-4.1 excels in visual understanding tasks and multi-turn conversations, with significant advantages in programming and instruction following. Additionally, GPT-4.1 is more cost-effective than GPT-4.5, making advanced AI capabilities accessible to a wider audience. While GPT-4.5 may have advantages in certain specific reasoning tasks, GPT-4.1 provides an excellent balance of capabilities, performance, and value for most applications.
What's the difference in GPT 4.1 vs Claude 3.7?
GPT-4.1 and Claude 3.7 represent different approaches to advanced AI. GPT-4.1 excels in code generation (54.6% completion rate in SWE-bench vs Claude 3.7's 48.3%) and visual understanding tasks, with superior performance in processing complex images and video content. It also offers a longer context window of 1 million tokens. Claude 3.7 shows strengths in nuanced reasoning, factual accuracy, and certain specialized knowledge domains. GPT-4.1 is generally more efficient for programming tasks, multimodal applications, and technical content generation, while Claude 3.7 may perform better for tasks requiring careful reasoning and precise instruction following. Pricing also differs, with GPT-4.1 typically offering more competitive rates for equivalent capabilities.
How is GPT-4.1 rated on Reddit?
GPT 4.1 Reddit community feedback is very positive, with users particularly appreciating its strong programming capabilities and long context processing. Hot topics in GPT-4.1 Reddit discussions include comparisons with Claude 3.7, price-performance ratio, and the practicality of the Mini version. Overall, GPT-4.1 is highly regarded on Reddit by the technical community for its code generation quality and ability to handle large projects.

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