OpenAI has launched the brand-new GPT-4.1 series model API, bringing major improvements in coding, instruction following, and long-context processing. Plus, the first-ever Nano model makes its debut—offering developers a powerful and cost-effective new option.
Hey developers and AI enthusiasts, we’ve got some exciting news! On April 14, 2025, OpenAI officially introduced its latest GPT model series—GPT-4.1! And it’s not just one new model—there are three new additions joining the API family:
This update is no small feat. Compared to the previous GPT-4o and GPT-4o mini, the 4.1 series shows significant enhancements across the board—especially in coding and instruction following, two major pain points for developers.
And yes, they’ve got better “memory” now too! These models support a context window of up to 1 million tokens—which means they can read and retain vast amounts of information at once. Think processing entire codebases or lengthy documents without forgetting what came first.
Oh, and one more thing—the models have updated knowledge, with data as recent as June 2024.
If you’re a developer, you’ll definitely want to know about GPT-4.1’s coding abilities. Simply put—this model is on a whole new level.
In the standard SWE-bench Verified benchmark (used to assess a model’s ability to solve real-world software engineering problems), GPT-4.1 scored 54.6%. That’s a whopping 21.4% higher than GPT-4o and 26.6% higher than the research-preview GPT-4.5!
And it’s not just about the numbers—it performs better in real-world use, too:
What early testers are saying:
Aside from coding, how well an AI follows commands is a big deal. GPT-4.1 has made notable improvements here too.
OpenAI created a multi-dimensional benchmark to evaluate instruction-following skills, including:
GPT-4.1 especially shines with complex commands. On Scale AI’s MultiChallenge benchmark, it outperformed GPT-4o by 10.5%, maintaining coherence and memory across multi-turn conversations.
In IFEval, which tests instruction compliance (like word limits or avoiding certain phrases), GPT-4.1 scored 87.4%, beating GPT-4o’s 81.0%.
Real-world examples:
Testers noted GPT-4.1 may interpret commands more literally, so be as clear and specific as possible when prompting.
As mentioned, the GPT-4.1 family—including mini and nano—supports up to 1 million tokens of context! That’s a major leap from GPT-4o’s 128,000 tokens.
To visualize: 1 million tokens = 8 full React codebases, or several thick novels.
This is a huge win for scenarios like analyzing legal documents, reviewing large codebases, or scaling customer support.
To showcase this, OpenAI ran the “Needle in a Haystack” test—hiding a snippet of information (“the needle”) in a massive document (“the haystack”) and seeing if the model could find it. All GPT-4.1 models, including mini and nano, reliably found the needle in the full 1 million-token haystack.
They also introduced two new benchmarks:
Use cases:
Performance is great, but developers also care about speed and cost. OpenAI’s new inference stack delivers faster time-to-first-token.
Enter GPT-4.1 mini and nano:
Example: GPT-4.1 nano typically returns the first token in under 5 seconds when processing 128,000-token queries. That’s blazing fast!
While this update focuses on text, the GPT-4.1 family also shows major gains in image understanding, especially GPT-4.1 mini, which outperforms GPT-4o on several visual benchmarks:
Long-context also boosts multimodal performance. On Video-MME (answering multiple-choice questions from 30–60 minute videos), GPT-4.1 scored 72.0%, beating GPT-4o’s 65.3%.
Let’s wrap up with the most practical info:
In short, GPT-4.1 marks a major milestone in real-world AI capabilities. It’s not just about benchmarks—it’s about solving real developer problems, from coding and instruction following to processing massive documents.
These advances unlock new doors for building smarter, more capable AI systems and agents. Whether you’re building a personal assistant, code helper, or document analyzer, the GPT-4.1 lineup offers the strongest foundation yet.
AI evolution isn’t slowing down—and that’s something to be excited about. So, are you ready to build something amazing with GPT-4.1? 🚀
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