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Simon Willison · 2026/7/30 23:58:42

Advancing the price-performance frontier with GPT‑5.6

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OpenAI放大招了!GPT-5.6大幅降价,其中旗舰版Luna价格暴跌80%。这背后有个巧妙思路:OpenAI用AI自己来优化AI的运行效率,让模型在运行时减少不必要的计算,相当于给AI请了个“效率管家”。通过自动重写底层代码,光是服务器成本就省了20%,这些节省直接转化成了用户的优惠。 如果说Luna降价到什么程度,现在它的使用成本已经比谷歌和Anthropic的同类产品便宜好几倍。比如以前用AI处理一百万字要花100块,现在只要20块。这对开发者来说简直是大礼包,做AI应用的启动成本大幅降低。 最直接的影响就是:我们以后用到的AI服务会越来越便宜,功能还越来越强。手机里的智能助手、各种AI写作工具、甚至企业用的客服机器人,都因为成本下降有了更大的发挥空间。未来,更便宜的AI意味着更多人能用上它,AI应用也会变得像水电一样普及,成为我们日常工作和生活的标配。
<p><strong><a href="https://openai.com/index/advancing-the-price-performance-frontier-with-gpt-5-6/">Advancing the price-performance frontier with GPT‑5.6</a></strong></p> Huge price drop from OpenAI today: GPT-5.6 Terra got a 20% reduction, and GPT-5.6 Luna got a massive 80% drop.</p> <p>OpenAI credit 5.6 Sol with enabling this: in <a href="https://openai.com/index/gpt-5-6-frontier-intelligence-efficiency/">How GPT‑5.6 fuses frontier intelligence with frontier efficiency</a> they describe using 5.6 Sol to optimize load balancing, and more impressively to optimize inference itself:</p> <blockquote> <p>We also used GPT‑5.6 Sol to optimize the model’s forward pass: the computation that transforms inputs into next-token predictions. Even when individual operations are fast, excess memory movement, synchronization, and inefficient data layouts can leave GPUs idle. To avoid this, GPT‑5.6 Sol found work that could be precomputed, avoided, or parallelized. With Codex, GPT‑5.6 Sol autonomously rewrote and optimized our production kernels, the core code that executes the mathematical operations that make up the model. This worked in part because we’ve trained GPT‑5.6 to be effective at writing and improving kernels in <a href="https://triton-lang.org/main/index.html">Triton⁠</a>and <a href="https://triton-lang.org/main/gluon/index.html">Gluon⁠</a>, two open-source GPU programming languages maintained by OpenAI. These efforts, combined with broader kernel advancements from GPT‑5.6 Sol, reduced end-to-end serving costs by 20%.</p> </blockquote> <p>That Luna price drop completely changes the landscape with respect to lower priced models. At $0.20/million tokens for input and $1.20/million for output Luna is now cheaper than Google's Gemini 3.1 Flash-Lite ($.025/$1.50).</p> <p>Anthropic's cheapest current model is Claude Haiku 4.5, and that's $1/$5 - Luna is now 1/5th of that for input, previously it cost the same.</p> <p>My <a href="https://agent.datasette.io/">agent.datasette.io</a> demo site was running on Gemini 3.1 Flash-Lite. I've switched it over to Luna. <p><small></small>Via <a href="https://news.ycombinator.com/item?id=49112867">Hacker News</a></small></p> <p>Tags: <a href="https://simonwillison.net/tags/ai">ai</a>, <a href="https://simonwillison.net/tags/openai">openai</a>, <a href="https://simonwillison.net/tags/generative-ai">generative-ai</a>, <a href="https://simonwillison.net/tags/llms">llms</a>, <a href="https://simonwillison.net/tags/anthropic">anthropic</a>, <a href="https://simonwillison.net/tags/gemini">gemini</a>, <a href="https://simonwillison.net/tags/llm-pricing">llm-pricing</a></p>
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Advancing the price-performance frontier with GPT‑5.6 | BriefSum AI 情报