OpenAI
gpt-6-luna· Verified November 10, 2026GPT-6 Luna pricing and benchmarks
OpenAI’s most efficient GPT-6 model, for focused, high-volume tasks.
Input
$0.10
per 1M tokens
Cached input
$0.01
per 1M tokens
Output
$0.50
per 1M tokens
Capability index
156.3
#15 of 25 tracked
How capable is GPT-6 Luna?
GPT-6 Luna scores 156.3 on the Epoch Capabilities Index (confidence interval 153.9–158.8), ranking #15 of the 25 rated models we track.
| Benchmark | Tests | Score |
|---|---|---|
| GPQA Diamond | Science reasoning | 90.5% |
| FrontierMath (Tiers 1–3) | Advanced math | 78.9% |
| SimpleQA Verified | Factual accuracy | 41.4% |
| ARC-AGI-2 | Abstract reasoning | 59.3% |
| DeepSWE | Coding | — |
| APEX-Agents | Agentic work | 44.3% |
Source: Epoch AI (as “GPT-6 Luna”), best recorded result, CC BY 4.0. A dash means no published score. Compare all models
What GPT-6 Luna costs in practice
| Workload | Monthly cost |
|---|---|
Support chatbot 100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each. | $35.00 |
Document Q&A (RAG) 50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each. | $55.00 |
Coding agent 10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens. | $24.80 |
Cached chatbot The same 100,000-reply support chatbot, but 60% of each prompt (system prompt + conversation history) is served from the prompt cache. | $26.90 |
Meeting notes 10,000 meetings a month summarized from ~12,000-token transcripts, ~1,000 output tokens each. | $17.00 |
Bulk translation 200,000 short translations a month, ~800 input and ~800 output tokens each. | $96.00 |
Content moderation 1,000,000 classifications a month, ~400 input tokens and ~80 output tokens each. | $80.00 |
Article drafting 300 long-form articles a month written from a ~4,000-token brief and outline, ~5,000 output tokens each. | $0.87 |
Code review bot 30,000 pull-request reviews a month, ~5,000 input tokens each (30% cached repository context) and ~700 output tokens. | $21.45 |
Invoice extraction 100,000 documents a month parsed into structured JSON, ~1,200 input and ~250 output tokens each. | $24.50 |
Pricing details
- Cache writes are billed at $0.125 per 1M tokens.
- Fast mode costs 2x the standard rate; Flex costs half.
- Regional (data residency) endpoints add a 10% uplift, and EU data residency is available only with standard processing.
Interactive Estimator
Estimate your GPT-6 Luna bill
- GPT-6 LunaOpenAI$55.00/mo$0.0011 / req
Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.
GPT-6 Luna pricing FAQs
- When was GPT-6 Luna released?
- OpenAI released GPT-6 Luna on September 22, 2026. Its API ID is gpt-6-luna, at $0.10 input / $0.50 output per 1M tokens.
- How much does GPT-6 Luna cost per 1M tokens?
- GPT-6 Luna costs $0.10 per 1M input tokens and $0.50 per 1M output tokens, and $0.01 per 1M cached input tokens on OpenAI’s standard tier.. Cached input tokens cost $0.01 per 1M. Long-context requests are billed at $0.20 input / $0.75 output per 1M tokens.
- What is GPT-6 Luna’s context window?
- You can prompt GPT-6 Luna with up to 1.05M tokens. It can generate up to 128K tokens per response.
- Does GPT-6 Luna have a batch API discount?
- Yes. Asynchronous batch jobs cost 50% less: $0.05 input / $0.25 per 1M tokens.
- How does GPT-6 Luna’s price compare with other AI models?
- Sorted by blended price (3 input : 1 output), GPT-6 Luna is #1 of the 27 models we track, at $0.20 per 1M tokens blended.
- How capable is GPT-6 Luna?
- Epoch AI rates GPT-6 Luna at 156.3 on its Capabilities Index — rank #15 of 25 rated models, with a confidence interval of 153.9–158.8.