GPT-6 Luna
API ID gpt-6-luna
Launched October 6, 2026
gpt-6-luna is an OpenAI model, released September 2026. It has a 1,050,000-token context window and up to 128,000 output tokens. It takes image input and supports function calling, structured outputs and reasoning. Standard price: from $0.10 input and from $0.50 output per 1M tokens.
- Status
- Active
- Released
- September 2026
- Shutdown
- none announced
- Replacement
- —
No deprecation or shutdown date has been announced as of October 15, 2026.
Free tier: Free for shared data, 1M tokens a day for Launch and Grow (250K for Build), in place when tracking began (October 12, 2026) (source) · All free models
Benchmarks
Scores as each source published themComparing with GPT-5.6 Luna, the previous model in this line. A score is compared only with the same benchmark from the same source, at the same setting where both have it. Full comparison: prices, limits, features
Arena
| Arena | GPT-6 Luna | GPT-5.6 Luna | Change | Rank | Date | Source |
|---|---|---|---|---|---|---|
TextBy category
| 1443 ±5 | 1453 ±4 | −10 | 91 of 415 43,294 votes | Oct 13, 2026 | source |
| Text: Coding | 1507 ±7 | 1501 ±7 | +6 within range | 64 of 410 9,840 votes | Oct 13, 2026 | source |
| WebDev | 1582 ±6 | 1518 ±6 | +64 | 34 of 142 17,869 votes | Oct 13, 2026 | source |
| Vision | 1241 ±12 | 1258 ±7 | −17 within range | 65 of 165 2,833 votes | Oct 9, 2026 | source |
| Search | 1209 ±7 | not rated | 13 of 42 10,793 votes | Oct 13, 2026 | source | |
| Agent | 0.033 ±0.005 | -0.018 ±0.007 | +0.051 | 19 of 54 155,783 sessions | Oct 14, 2026 | source |
Rated as gpt-6-luna-max (max effort); GPT-5.6 Luna as gpt-5.6-luna-xhigh (xhigh effort). Some were rated at different settings; ratings on one arena share one scale, so the difference still reads directly. Text, WebDev, Vision and Search ratings come from people voting between two anonymous answers; Text, Vision and Search are style-controlled, as on arena.ai. Agent is Arena's separate score for real agent sessions, on its own scale. Not rated on Document, where GPT-5.6 Luna is. Data: Arena (arena.ai), CC BY 4.0.
Epoch AI
| Benchmark | GPT-6 Luna | GPT-5.6 Luna | Change | Setting | Run | Source |
|---|---|---|---|---|---|---|
| FrontierMath Tier 4 | 56.1% | 61.0% | −4.9 pts | max effort | Sep 22, 2026 | source |
| FrontierMath Tiers 1-3 | 78.9% | 82.1% | −3.2 pts | max effort | Sep 22, 2026 | source |
| GPQA Diamond | 90.5% | 91.6% | −1.1 pts | max effort | Sep 22, 2026 | source |
| OTIS Mock AIME 2024-2025 | 98.9% | 98.3% | +0.6 pts | max effort | Sep 22, 2026 | source |
| SimpleQA Verified | 41.4% | 41.0% | +0.4 pts | max effort | Sep 22, 2026 | source |
Run independently by Epoch AI. Data: Epoch AI, Capabilities & benchmarking (epoch.ai/benchmarks), CC BY.
Features
Compare models| Feature | Value | Since | Source |
|---|---|---|---|
| Structured outputsThe model can be held to a JSON schema you supply, so every reply parses without retries or cleanup. | Supported | in place when tracking began (October 7, 2026) | source |
| Function callingAlso called tool use. You describe functions; the model replies with a function name and arguments for your code to run, then uses the result. | Supported | in place when tracking began (October 7, 2026) | source |
| Prompt cachingA prompt prefix you send again and again (system prompt, documents, tools) is cached, so later requests cost less and start faster. | Supported | in place when tracking began (October 7, 2026) | source |
| Batch APISend many requests as one job that runs in the background, usually finished within 24 hours, at a lower price than live requests. | Supported | in place when tracking began (October 7, 2026) | source |
| Image inputImages such as screenshots, photos and charts can go in the prompt for the model to read. | Supported | in place when tracking began (October 7, 2026) | source |
| Reasoning / thinkingThe model can work through a problem step by step before it answers: usually better answers to hard questions, at the cost of more tokens and time. | Supported | in place when tracking began (October 7, 2026) | source |
| Fine-tuningYou can train your own version of the model on your examples through the company's API, then call it like any other model. | Not supported | in place when tracking began (October 7, 2026) | source |
| Built-in web searchThe company's API can search the web for the model during a request and cite its sources; you don't need a search service of your own. | Supported | in place when tracking began (October 7, 2026) | source |
| Context windowThe most the model can work with in one request, in tokens: your prompt, conversation history and files. A token is about three-quarters of an English word. | 1,050,000 tokens | in place when tracking began (October 7, 2026) | source |
| Max output tokensThe longest reply the model can write in one response, in tokens. A token is about three-quarters of an English word. | 128,000 tokens | in place when tracking began (October 7, 2026) | source |
Not published by OpenAI: PDF input, temperature parameter, top_p parameter, logprobs.
Price history
USD per 1M tokens, standard tierWe started recording this model's prices on Oct 1, 2026. The history grows with each daily check.
Show as a table
| From | Type | Price |
|---|---|---|
| Oct 1, 2026 | Input | $0.10 |
| Oct 1, 2026 | Output | $0.50 |
Prices
USD per 1M tokens, every type and band, by tier| Type | Band | Price $/1M | In effect |
|---|---|---|---|
| Standard | |||
| input | long context | $0.20 | |
| input | short context | $0.10 | |
| cached input | long context | $0.02 | |
| cached input | short context | $0.01 | |
| cache write | long context | $0.25 | |
| cache write | short context | $0.125 | |
| output | long context | $0.75 | |
| output | short context | $0.50 | |
| Batch | |||
| input | long context | $0.10 | |
| input | short context | $0.05 | |
| cached input | long context | $0.01 | |
| cached input | short context | $0.005 | |
| cache write | long context | $0.125 | |
| cache write | short context | $0.0625 | |
| output | long context | $0.375 | |
| output | short context | $0.25 | |
| Flex | |||
| input | long context | $0.10 | |
| input | short context | $0.05 | |
| cached input | long context | $0.01 | |
| cached input | short context | $0.005 | |
| cache write | long context | $0.125 | |
| cache write | short context | $0.0625 | |
| output | long context | $0.375 | |
| output | short context | $0.25 | |
| Fast | |||
| input | long context | $0.40 | |
| input | short context | $0.20 | |
| cached input | long context | $0.04 | |
| cached input | short context | $0.02 | |
| cache write | long context | $0.50 | |
| cache write | short context | $0.25 | |
| output | long context | $1.50 | |
| output | short context | $1.00 | |
Changelog
Changes we detected on OpenAI's pagesNo changes recorded yet.
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Last checked · Sources: OpenAI deprecations, OpenAI pricing, OpenAI models