GPT-4.1 in the API

In plain words

GPT-4.1 is a series of AI language models available through API, including standard, mini, and nano variants. Designed for developers and organizations, these models emphasize improvements in coding, instruction following, and handling long context windows. The nano model marks the first in this compact tier, offering a smaller option for resource-constrained applications.

written from the facts on this page · September 2026

From the sources

A new series of GPT models featuring major improvements on coding, instruction following, and long context—plus our first-ever nano model.

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  GPT‑5.4 mini and nanoMar 2026 · openai.com · ▲267

  Fast and efficient models optimized for coding and subagents

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  GPT-42023 · openai.com · ▲1,160

  More accurate, less cringe, smoother & useful daily chats!

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  gpt-realtime-1.5 by OpenAIFeb 2026 · developers.openai.com · ▲300

  Tighter instruction adherence in speech agents

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  nanochat2025 · github.com · ▲349

  Build your won ChatGPT for $100 on a single GPU

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  Auto-GPT2023 · github.com · ▲198

  An Autonomous GPT-4 Experiment

• IR
  I Remade the Fake Google Gemini Demo, Except Using GPT-4 and It's Real2023 · sagittarius.greg.technology · ▲434

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  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 18d ago · spira.ai

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  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 17d ago · rill.love

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  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 19d ago · tej.as

• 
  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 21d ago · stillwet.art

• 
  PixVerse R2▲381

  A real-time world model you can explore and change

  AI · 29d ago · world.pixverse.video

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  Beam.win▲376

  Run AI agents on one Mac and use its windows on another

  AI · 4d ago · beam.win

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  I built a hardware processor that runs Python▲983

  Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…

  Dev tools · 2025 · runpyxl.com

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  Unsure Calculator – back-of-a-napkin probabilistic calculator▲930

  The Unsure Calculator is an online tool that lets you calculate with numbers you’re not sure about.

  Life & fun · 2025 · filiph.github.io

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  I built an AI that turns GitHub codebases into easy tutorials▲923

  https://the-pocket.github.io/Tutorial-Codebase-Knowledge/

  AI · 2025 · github.com

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  Whatting▲898

  The iPad diary, just for you

  Work · 2025 · whatting.com

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  Strawberry▲859

  Browser with AI companions that automate web tasks

  AI · 2025 · strawberrybrowser.com

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  Peek▲828

  AI personal finance coach that guides you through decisions

  Work · 2025 · peek.money