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GPT-4.1 nano

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  1. AI modelsReach 51

    OpenAI brings reinforcement fine-tuning to o4-mini

    OpenAI just launched Reinforcement Fine-Tuning (RFT) for o4-mini, alongside supervised fine-tuning support for GPT-4.1 nano. RFT pairs chain-of-thought reasoning with task-specific grading to boost accuracy in complex fields like tax, accounting, and coding. It basically gives developers a way to turn OpenAI's fastest and cheapest models into custom domain experts.

  2. AI modelsReach 62

    OpenAI launches GPT-4.1 API family featuring 1M context and nano model

    OpenAI just dropped three new models in its API: GPT-4.1, GPT-4.1 mini, and its first-ever GPT-4.1 nano. They feature a 1-million-token context window, jump to 54.6% on SWE-bench Verified coding, and mini slashes costs by 83% while nearly halving latency. It is built squarely for developers building agents and coding workflows, though it won't be available in ChatGPT directly.