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OpenAI GPT · OpenAI
GPT-6 Luna.
GPT-6 Luna is an OpenAI model, released on 22 September 2026. It takes files, images and text and returns text, with a 1.05 million-token context window. Artificial Analysis scores it 27.8 on its Intelligence Index, number 4 of 4 rated OpenAI GPT models.
- Hosted API
- 1.05M context
Specification
- Provider
- OpenAI
- Family
- OpenAI GPT
- Released
- 22 September 2026
- Catalogue id
- openai/gpt-6-luna
- Context window
- 1.05 million tokens
- Maximum output
- 128,000 tokens
- Inputs and output
- Files, images and text in; text out
- Capabilities
- Tool calling, structured outputs and adjustable reasoning
- Weights
- Not published — hosted API
- Listed price
- $0.100 input, $0.500 output, $0.010 cached input per million tokens
Provider-published specifications as of 30 October 2026, not figures we measured. Model families move quickly — check the provider's own documentation before committing to a number.
Source: GPT-6 Luna in the OpenRouter catalogue, checked weekly. Confirm current terms in OpenAI's own documentation before you commit.
INDEPENDENT RATINGS
How GPT-6 Luna scores.
Measured by Artificial Analysis on its own evaluation suite, at every reasoning setting it tested.
Artificial Analysis Intelligence Index · Higher is better · Linear scale from 0 to 63.0
- GPT-6 Astra
- 56.9
- GPT-6.1 Sol
- 54.5
- GPT-6.1 Terra
- 51.0
- GPT-6 Luna
- 27.8
Each model at its best reasoning setting. The index combines reasoning, knowledge, maths and coding evaluations; it does not show cost, latency or data residency.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the provider.
Artificial Analysis Intelligence Index · Higher is better · Linear scale from 0 to 66.0
- Gemini 4 Carbon
- 59.4
- Claude Opus 5.5
- 58.4
- Muse Wonder Full
- 49.7
- Kimi K3.1 Pro
- 46.0
- GPT-6 Luna
- 27.8
The highest-rated model of each other family we cover, at its best reasoning setting.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the providers.
BY REASONING SETTING
More thinking, more cost.
The same model tested at each reasoning effort. Higher settings usually score better and answer more slowly; measure which one your task needs.
| Criterion | Intelligence | Tokens / s | First token (s) | Blended $ / M |
|---|---|---|---|---|
| Max | 27.8 | 116 | 119.6 | $0.20 |
| Xhigh | 23.3 | 116 | 20.9 | $0.20 |
| High | 21.4 | 115 | 13.4 | $0.20 |
| Medium | 18.3 | — | — | $0.20 |
| Low | 9.7 | 113 | 3.0 | $0.20 |
| Non-reasoning | 9.4 | 109 | 0.8 | $0.20 |
BENCHMARKS
Benchmark by benchmark.
Score (%) at its best reasoning setting · Higher is better · Linear scale from 0 to 100.0
- Humanity's Last Exam
- 38.5
- SciCode
- 54.6
- Terminal-Bench 4.0 (agentic coding)
- 12.6
- AA-LCR (long-context reasoning)
- 83.3
Each evaluation run by Artificial Analysis under its published methodology. Scores on public benchmarks can overstate performance on your own data.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the provider.
What it costs
Price the whole answer.
Illustrative calculation at listed rates: a batch of 10 million input tokens and 1 million output tokens costs $1.50 on GPT-6 Luna. A thousand requests of 2,000 input and 500 output tokens each costs $0.450. Calculation: input millions × input rate + output millions × output rate; it excludes reasoning tokens, retries, tools, tax and review time.
Compare cost per accepted result, not per token: replay the same work on two or three candidates and count the answers you would actually ship. Our model-routing approach sends each request to the cheapest model that passes.
THE REST OF THE FAMILY
Other OpenAI GPT models.
Every OpenAI GPT model in the catalogue. Our OpenAI GPT page covers where the family fits and how we evaluate it.
| GPT-6 Luna | 22 Sep 2026 | 27.8 | 116 | 1.05M | $0.100 | $0.500 |
|---|---|---|---|---|---|---|
| GPT-6.1 Terra | 26 Oct 2026 | 51.0 | 91 | 1.05M | $1.00 | $5.00 |
| GPT-6.1 Sol | 29 Sep 2026 | 54.5 | 84 | 1.05M | $2.00 | $10.00 |
| GPT-6 Sol | 22 Sep 2026 | — | — | 1.05M | $2.00 | $10.00 |
| GPT-6 Astra | 3 Sep 2026 | 56.9 | 88 | 1.05M | $10.00 | $50.00 |
| GPT-5.6 Luna | 9 Jul 2026 | — | — | 1.05M | $0.200 | $1.20 |
| GPT-5.6 Sol | 9 Jul 2026 | — | — | 1.05M | $4.00 | $20.00 |
| GPT-5.6 Terra | 9 Jul 2026 | — | — | 1.05M | $2.00 | $12.00 |
| GPT Chat Latest | 5 May 2026 | — | — | 400k | $5.00 | $30.00 |
| GPT-5.5 | 23 Apr 2026 | — | — | 1.05M | $5.00 | $30.00 |
| GPT-5.4 Mini | 17 Mar 2026 | — | — | 400k | $0.750 | $4.50 |
| GPT-5.4 Nano | 17 Mar 2026 | — | — | 400k | $0.200 | $1.25 |
| GPT-5.4 | 5 Mar 2026 | — | — | 1.05M | $2.50 | $15.00 |
| GPT-5.3-Codex | 5 Feb 2026 | — | 86 | 400k | $1.75 | $14.00 |
| GPT-5.2-Codex | 11 Dec 2025 | — | — | 400k | $1.75 | $14.00 |
Intelligence and coding: Artificial Analysis indices at the model's best reasoning setting, and its measured output speed. Context and prices: the OpenRouter catalogue list price in USD per million tokens. Released: the provider's date where Artificial Analysis records one, otherwise the date the catalogue first listed it. Refreshed weekly; not measured by QQuantum.ai. Select a heading to sort.
Questions
Questions about GPT-6 Luna.
When was GPT-6 Luna released?
GPT-6 Luna was released on 22 September 2026, according to Artificial Analysis.
What is the context window of GPT-6 Luna?
1.05 million tokens, with up to 128,000 output tokens per response, as listed in the OpenRouter catalogue on 30 October 2026. A long window is not the same as reliable recall across it; evaluate retrieval on your own documents.
How much does GPT-6 Luna cost?
The catalogue lists $0.100 per million input tokens and $0.500 per million output tokens, and $0.010 per million cached input tokens (checked 30 October 2026). OpenAI's own rates, batch discounts and cloud marketplaces can differ.
How does GPT-6 Luna rate against other OpenAI GPT models?
Artificial Analysis gives it 27.8 on its Intelligence Index at its best reasoning setting, number 4 of the 4 OpenAI GPT models it rates. A composite score is a shortlist tool; your own task decides.
Can GPT-6 Luna run on our own hardware?
The catalogue lists no published weights for it, so it is used as a hosted API. Where data may not leave your infrastructure, an open-weight model is the alternative.
