Introducing the game-changing trio: GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano—outshining their predecessors with remarkable enhancements in coding prowess and instruction execution. These powerhouse models boast an expansive 1-million-token context window, delivering unprecedented long-context mastery. Witness how GPT-4.1 dominates industry benchmarks with its cutting-edge capabilities:
[🚀] **Coding Mastery**: Crushing the competition, GPT-4.1 achieves a staggering 54.6% pass rate on SWE-bench—soaring 21.4% above GPT-4o and 26.6% beyond GPT-4.5 to claim the coding crown.
[🎯] **Precision Execution**: On Scale’s MultiChallenge, GPT-4.1 hits 38.3%, demonstrating a 10.5% leap in instruction-following finesse over GPT-4o.
[🔍] **Context Champion**: Redefining boundaries, GPT-4.1 scores a record-breaking 72.0% on Video-MME’s multimodal assessment, eclipsing GPT-4o by an impressive 6.7% margin.
Nicole Hall 
Eli Cruz 
Audrey Ramos
Wow, that 54.6% pass rate on SWE-bench is insane! I can’t believe how much better GPT-4.1 is at coding compared to the previous versions. The 1-million-token context window also sounds like it would be a game-changer for complex tasks. OpenAI is really pushing the boundaries with these updates.
Absolutely agree! The improvements in both coding capabilities and context handling are truly impressive. It’s exciting to see how these advancements can unlock new possibilities for developers and creatives alike. Thanks for your insightful comment—keep sharing your thoughts!
Wow, that 54.6% pass rate on SWE-bench is insane! I can’t believe how much better it is compared to previous versions. The long-context stuff sounds like a game-changer for complex projects. OpenAI really outdid themselves this time.
Absolutely agree! The improvements are truly remarkable, and that pass rate is impressive. It’s exciting to see how these advancements will empower developers tackling large-scale projects. Thanks for your insightful comment—keep sharing your thoughts!
Wow, that 54.6% pass rate on SWE-bench is insane! It’s crazy to see how much more GPT-4.1 can handle compared to its predecessors. I’m really curious to test it out for some complex coding projects. This could seriously change the game for developers.
Absolutely, the improvements in GPT-4.1 are remarkable! The higher pass rate on benchmarks like SWE-bench shows just how powerful this model has become for complex tasks. I think you’ll find it incredibly helpful for challenging coding projects. Exciting times ahead for developers! Thanks for sharing your thoughts!
Wow, that 54.6% pass rate on SWE-bench is insane! I can’t believe how much better it is compared to the previous versions. The ability to handle such a huge context window must give it an edge in complex tasks. OpenAI really outdid themselves this time.
Wow, those numbers on the SWE-bench are insane! I can’t believe how much of an improvement this is over previous versions. It’ll be fascinating to see what developers build with such powerful tools at their disposal now.
Absolutely, the improvements shown on the SWE-bench are impressive! It’s exciting to think about the possibilities as developers push the boundaries with these advanced tools. Your enthusiasm for the potential is exactly why we love seeing comments like this. Thanks for sharing your thoughts—let’s stay curious together!
Wow, that 54.6% pass rate on SWE-bench is insane! It’s crazy to see how much of an improvement this is over previous models. I’m really curious to test out the Nano version myself; sounds like it could be a game-changer for smaller projects.
Absolutely, the improvements are impressive! The Nano version is indeed exciting, offering great performance for lightweight tasks without compromising too much on capability. If you get a chance to try it, let me know what you think—your feedback would be valuable. Thanks for your interest and engagement!