On April 14, 2025, OpenAI unveiled the family of GPT-4.1 models, a new generation of artificial intelligence designed to deliver significant improvements in coding, instruction following, and understanding long contexts. Among these models, GPT-4.1 Nano stands out as OpenAI's first "Nano" model, combining speed, performance, and accessibility for developers worldwide.
Main Features of GPT-4.1 Nano
GPT-4.1 Nano is optimized for low-latency tasks, such as classification or autocompletion, while still offering impressive capacity to process large amounts of data. Here are its key features:
Context window
A capacity of 1 million tokens, equivalent to approximately 750 words, allowing the management of documents as long as War and Peace in a single query.
Performance
- 80,1% on MMLU, a benchmark assessing language comprehension in various academic fields.
- 50,3% on GPQA, measuring the ability to answer complex general questions.
- 9,8% on Aider's polyglot coding benchmark, surpassing GPT-4o Mini in multilingual programming tasks.
Latency
Returns the first token in less than five seconds for queries with 128 input tokens, ideal for real-time applications.
Competitive pricing
- Entry: $0,10 per million tokens.
- Cached entry: $0,025 per million tokens.
- Output: $0,40 per million tokens.
- Mixed Fee: $0,12 per million tokens, based on typical inflow/outflow ratios.
| Characteristic | Details |
| Context window | 1 million tokens |
| Latency | < 5 seconds for 128 tokens |
| MMLU | 80,1% |
| GPQA | 50,3% |
| Polyglot coding (Help) | 9,8% |
| Entrance fee | $0,10 per million tokens |
| Exit fare | $0,40 per million tokens |
| Cached entry fee | $0,025 per million tokens |
Comparison with previous models
GPT-4.1 Nano is part of the GPT-4.1 family, which also includes GPT-4.1 and GPT-4.1 MiniThese models offer significant improvements over their predecessors, including the GPT-4o and GPT-4o Mini.
For example, GPT-4.1 Nano outperforms GPT-4o Mini in coding tasks, with a performance of 9,8% against a lower baseline for GPT-4o Mini on the Aider benchmark.
Additionally, its 1 million token context window is comparable to more powerful models like Google's Gemini 2.5 Pro, but at a much lower cost.
Availability and accessibility of GPT-4.1 Nano
Unlike some OpenAI models available through ChatGPT, GPT-4.1 Nano is exclusively accessible through theOpenAI APIsThis approach aims to meet the needs of developers wishing to integrate advanced AI features into their applications.
The model is available now to all developers, with an additional 50% discount for batch API requests, making access to cutting-edge AI more affordable than ever.
Additionally, GPT-4.1 Nano is integrated with platforms like Microsoft Azure and GitHub, making it easy to adopt in various development environments.
Impact and prospects of GPT-4.1 Nano
By introducing GPT-4.1 Nano, OpenAI demonstrates its commitment to democratizing access to artificial intelligence. This model, with its combination of speed, performance, and affordability, is likely to become a valuable tool for developers, from startups to large enterprises.
Its ability to handle long-running contexts and execute tasks with low latency makes it particularly suitable for real-time applications, such as chatbots, coding assistants or automation systems.
Additionally, OpenAI's strategy of offering a range of models tailored to different needs – from powerful models like GPT-4.1 to compact options like Nano – strengthens its leadership position in the AI field.
As competition intensifies, it is likely that GPT-4.1 Nano will play a key role in the widespread adoption of AI in software development.
Conclusion
GPT-4.1 Nano marks a significant milestone in the evolution of OpenAI's artificial intelligence models. By combining robust performance, low latency, and competitive pricing, this model offers developers a unique opportunity to integrate advanced AI features into their projects. To learn more about GPT-4.1 Nano and the GPT-4.1 family, visit theOpenAI official announcement.