GPT-6 Sol and Luna
- ID
- 27380
- Status
- summarized
- Published
- 23 Sep 2026, 2:00 AM
- Fetched
- 24 Sep 2026, 4:22 AM
- Provider
- Hacker News
- Category
- dev-community
- Original URL
- https://openai.com/index/introducing-gpt-6-sol-and-luna/
- Source URL
- https://hnrss.org/best
Summary
- Score
- 6.5
- Created
- 24 Sep 2026, 4:22 AM
- Tags
- Audience
- developersai_agent_userssaas_foundersai_ml_learners
What happened
OpenAI introduced GPT-6 Sol and Luna, two cheaper models in the GPT-6 family, with API prices cut 50% versus GPT-5.6 promotional pricing. Sol is priced at $2/$10 per 1M tokens (input/output) and Luna at $0.10/$0.50. OpenAI claims Sol at xhigh effort outperforms Claude Opus 5 at max effort on AutomationBench at 9% of Opus 5's cost per task.
Why it matters
If you're building AI agents or SaaS on OpenAI APIs, Sol and Luna's 50% price drop directly lowers your per-task inference cost—evaluate whether downgrading from Astra to Sol for non-critical workflows, or from Sol to Luna for high-volume tasks, materially improves unit economics. The AutomationBench claim about Sol beating Claude Opus 5 at 9% cost is vendor-reported and omits full competitor cost details, so benchmark against your own workload before switching providers.
Discussion angle
Compare Sol/Luna pricing against Claude and open-source alternatives for real agent workloads—does the 50% cut actually change build-vs-buy or model-routing decisions, or is this promotional pricing that will normalize upward?