Here is the rewritten content:
OpenAI Unveils GPT-4.1: A Trio of New AI Models with Enhanced Capabilities
OpenAI has recently announced the release of GPT-4.1, a trio of new AI models with context windows of up to one million tokens. This allows the models to process entire codebases or small novels in a single operation. The lineup includes standard GPT-4.1, Mini, and Nano variants, all targeting developers.
The Company’s Latest Offering
The release of GPT-4.1 comes just weeks after the release of GPT-4.5, creating a timeline that is as confusing as the release order of the Star Wars movies. "The decision to name these 4.1 was intentional. I mean, it’s not just that we’re bad at naming," OpenAI product lead Kevin Weil said during the announcement. However, the intentions behind the naming are still unclear.
GPT-4.1’s Capabilities
GPT-4.1 shows impressive capabilities. According to OpenAI, it achieved 55% accuracy on the SWEBench coding benchmark, up from GPT-4.0’s 33%, while costing 26% less. The new Nano variant, billed as the company’s "smallest, fastest, cheapest model ever," runs at just 12 cents per million tokens.
No Upcharge for Massive Documents
OpenAI will not upcharge for processing massive documents and actually using the one million token context. "There is no pricing bump for long context," Kevin emphasized.
Live Demonstration
The new models show impressive performance improvements. In a live demonstration, GPT-4.1 generated a complete web application that could analyze a 450,000-token NASA server log file from 1995. OpenAI claims the model passes this test with nearly 100% accuracy even at million tokens of context.
Enhanced Instruction-Following Abilities
Michelle, OpenAI’s post-training research lead, also showcased the models’ enhanced instruction-following abilities. "The model follows all your instructions to the tea," she said, as GPT-4.1 dutifully adhered to complex formatting requirements without the usual AI tendency to "creatively interpret" directions.
How Not to Count: OpenAI’s Guide to Naming Models
The release of GPT-4.1 after GPT-4.5 feels like watching someone count "5, 6, 4, 7" with a straight face. It’s the latest chapter in OpenAI’s bizarre versioning saga.
A Brief History of OpenAI’s Versioning Saga
After releasing GPT-4, OpenAI upgraded the model with multimodal capabilities. The company decided to call that new model GPT-4o ("o" for "omni"), a name that could also be read as “four zero” depending on the font used.
Then, OpenAI introduced a reasoning-focused model that was just called “o.” However, don’t confuse OpenAI’s GPT-4o with OpenAI’s o because they are not the same. Nobody knows why they picked this name, but as a general rule of thumb, GPT-4o was a "normal" LLM whereas OpenAI o1 was a reasoning model.
A few months after the release of OpenAI o1, came OpenAI o3. But what about o2?—Well, that model never existed.
The Lineup Further Fragments
The lineup further fragments with variants like the normal o3 and a smaller, more efficient version called o3 mini. However, they also released a model named “OpenAI o3 mini-high” which puts two absolute antonyms next to each other because AI can do miraculous things.
In Essence, OpenAI o3 mini-high
In essence, OpenAI o3 mini-high is a more powerful version than o3 mini, but not as powerful as OpenAI o3—which is referenced in a single chart by Openai as “o3 (Medium),” as it should be. Right now, ChatGPT users can select either OpenAI o3 mini or OpenAI o3 mini-high. The normal version is nowhere to be found.
Conclusion
In conclusion, OpenAI’s latest release, GPT-4.1, offers enhanced capabilities and efficiency. The company’s naming conventions may be confusing, but the models themselves show impressive performance improvements.
FAQs
Q: What are the key features of GPT-4.1?
A: GPT-4.1 includes standard, Mini, and Nano variants, all targeting developers, with context windows of up to one million tokens.
Q: How does GPT-4.1 compare to GPT-4.5?
A: GPT-4.1 achieved 55% accuracy on the SWEBench coding benchmark, up from GPT-4.0’s 33%, while costing 26% less.
Q: Will OpenAI upcharge for processing massive documents?
A: No, OpenAI will not upcharge for processing massive documents and actually using the one million token context.
Q: What is the significance of the Nano variant?
A: The Nano variant is billed as the company’s "smallest, fastest, cheapest model ever," running at just 12 cents per million tokens.
Q: What is the future of OpenAI’s versioning saga?
A: OpenAI has already announced plans to release o4 soon, but it is unclear what this will entail.
