OpenAI
GPT-6 Luna
OpenAI's September 22, 2026 GPT-6 model for cost-sensitive, high-volume workloads, and the cheapest frontier-lab model at $0.10 input and $0.50 output per million tokens. Supports text and image input, text output and adjustable reasoning effort from none to max (default medium), with a 1.05M-token context window and up to 128K output. Cached input is $0.01 and cache writes $0.125, with the same above-272K long-context surcharge as GPT-6 Sol. OpenAI reports DeepSWE v1.1 66.6% at $0.22 per task, Agents' Last Exam 50.9% and FrontierCode 1.1 42.4%.
- Provider
- OpenAI
- Context
- 1MCatalog · As of Oct 21, 2026Within 30d
- yno subscription tier
- Pro
- Released
- Sep 22, 2026
- Speed
- Fast
- Reasoning
- Advanced
- Modality
- Multimodal
Benchmarks
Quality
- AA Intelligence Index
Speed and latency
- Output speed
- 125.15tokens/sConfiguration: Prompt length: 1,000 · Parallel queries: 1Artificial Analysis · Date unknownAge unknown
- Time to first token
- 71.11sConfiguration: Prompt length: 1,000 · Parallel queries: 1Artificial Analysis · Date unknownAge unknown
- Time to first answer token
- 71.11sConfiguration: Prompt length: 1,000 · Parallel queries: 1Artificial Analysis · Date unknownAge unknown
API pricing
- API input cost
- API output cost
Benchmark variant: GPT-6 Luna (Max)
AA data retrieved Nov 2, 2026 · Artificial Analysis
Indexes use points; evaluations use accuracy percentages. API measurements do not measure yno application performance. Methodology
Capabilities
- Speed
- Classification
- Summarization
- Code
- Cost-Effective
- Vision
Use cases
- High-volume pipelines
- Classification
- Summarization
- Budget coding
Strengths
- Cheapest frontier-lab model: $0.10/$0.50 per MTok
- 1.05M context / 128K output
- Cached reads $0.01/MTok
- Vendor DeepSWE v1.1 66.6% at $0.22/task
Best for
Teams running cost-sensitive, high-volume workloads with the GPT-6 family
No credit card required
Related models
Frequently asked
- What is GPT-6 Luna?
- OpenAI's September 22, 2026 GPT-6 model for cost-sensitive, high-volume workloads, and the cheapest frontier-lab model at $0.10 input and $0.50 output per million tokens. Supports text and image input, text output and adjustable reasoning effort from none to max (default medium), with a 1.05M-token context window and up to 128K output. Cached input is $0.01 and cache writes $0.125, with the same above-272K long-context surcharge as GPT-6 Sol. OpenAI reports DeepSWE v1.1 66.6% at $0.22 per task, Agents' Last Exam 50.9% and FrontierCode 1.1 42.4%.
- How much does GPT-6 Luna cost in yno.ai?
- GPT-6 Luna is available on the Pro tier of yno.ai.
- What can GPT-6 Luna do?
- GPT-6 Luna is best for Teams running cost-sensitive, high-volume workloads with the GPT-6 family. Its main capabilities include Speed, Classification, Summarization, Code, Cost-Effective, Vision.
- How does GPT-6 Luna compare to other models?
- GPT-6 Luna excels at Cheapest frontier-lab model: $0.10/$0.50 per MTok and is recommended for High-volume pipelines, Classification, Summarization, Budget coding. See related models below.
- How do I use GPT-6 Luna in yno.ai?
- Sign up for yno.ai, select GPT-6 Luna from the model picker, and start chatting.