GitHub Copilot: GPT-6 Luna Now Available
GitHub Copilot added GPT-6 Luna, OpenAI's lightweight, lowest-cost model in the GPT-6 family, to its model picker for fast, high-volume coding tasks. Priced at just $0.10 input / $0.50 output per million tokens, Luna targets smaller, well-defined jobs, and OpenAI says it can match the prior generation's Sol-tier accuracy at a fraction of the cost when run at higher effort. The model is available to every paid Copilot tier, from Pro through Enterprise.
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Key Takeaways
- The YouTube video "GPT-6 Sol Is Here (50% Cheaper!)" covers the joint Sol/Luna launch, framing Luna as the family's rock-bottom-cost pick for simple, high-volume tasks.
- OpenAI says Luna run at a higher effort setting can match GPT-5.6 Sol's accuracy at about a hundredth of the cost, illustrating how far the price/performance curve moved with this release.
- Coverage positions Luna for clerical-style work, summarizing documents, extracting information, or answering quick questions, rather than complex agentic coding.
- Luna joins GPT-6 Astra and GPT-6 Sol to round out a full three-tier GPT-6 lineup inside GitHub Copilot.
- GPT-6 Luna is priced at just $0.10 input / $0.50 output per million tokens, the cheapest model GitHub Copilot currently offers.
- Luna is available to every paid Copilot tier, from Pro through Enterprise, making it the most broadly accessible of the three new GPT-6 models.
Sources & Mentions
5 external resources covering this update
GPT-6 Sol Is Here (50% Cheaper!)
YouTube
OpenAI launches GPT-6 Sol and Luna, boasting lower cost and fewer mistakes
TechCrunch
OpenAI releases GPT-6 Sol and Luna models, slashing API costs 50% or more
VentureBeat
OpenAI upgrading ChatGPT and Codex with two more GPT-6 models
9to5Mac
OpenAI cuts GPT-6 prices in half with Sol and Luna
The Next Web