[OpenAI Livestream] developers 🤝 supermassive black hole

# OpenAI Livestream Summary: Developers and GPT-4.1 Family Launch

OpenAI recently held a livestream to announce their latest offering for developers: the GPT-4.1 family of models. The presentation featured Kevin (Product Lead), Michelle (Post-Training Research Lead), and Ishan (Post-Training team) who introduced three new models specifically designed for developer needs.

## The GPT-4.1 Family: Key Highlights

1. **Three New Models**:
– **GPT-4.1**: The flagship model with significant improvements over GPT-4.0
– **GPT-4.1 Mini**: A faster, slightly less powerful alternative
– **GPT-4.1 Nano**: OpenAI’s smallest, fastest, and cheapest model ever

2. **Major Improvements**:
– All three models can handle up to **1 million tokens** of context (8x improvement over previous 128K limit)
– Better at coding, complex instruction following, and building agents
– GPT-4.1 outperforms GPT-4.0 on nearly every dimension and meets or beats GPT-4.5 in many areas

3. **Coding Capabilities**:
– GPT-4.1 reaches 55% accuracy on SWEBench (up from 33% in GPT-4.0)
– Significant improvements in diff format performance (doubled from GPT-4.0)
– Better at writing functional code, following diff formats, exploring repos, and writing unit tests
– Enhanced performance in multiple programming languages (tested on Ader polyglot benchmark)

4. **Instruction Following**:
– The models strictly follow all instructions provided, even complex multi-step directions
– Excels in formatting, ranking, ordered instructions, and maintaining coherence over multiple turns
– New prompting guide published for optimal results

5. **Long Context Processing**:
– All models, including Nano, effectively process information anywhere within the 1M token context
– Strong performance on “needle in a haystack” evaluations
– State-of-the-art performance on video processing without subtitles (72