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OpenAI: GPT-6 Luna Pro

openai/gpt-6-luna-pro

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GPT-6 Luna Pro is the same underlying model as GPT-6 LunaOpens in new tab, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 LunaOpens in new tab instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-modeOpens in new tab

Modalities
In / Out Price
$0.10 / $0.50per 1M
Context
1.1M
Released
Sep 22, 2026
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ProvidersPricingPerformanceUptimeAppsActivityDocumentationFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Available through EU in-region routing

OpenAI: GPT-6 Luna Pro is available through EU in-region routing. Requests sent to eu.openrouter.ai are decrypted in the EU and routed only to shared provider endpoints in Europe (the EU/EEA, the UK, and Switzerland).

Providers in Europe
Azure
Prices in Europe
  • Azure: $0.11/M tokens input, $0.55/M tokens output
Base URL
https://eu.openrouter.ai/api/v1
Plan
Requires Business or Enterprise. Self-serve on Business: no contract, no monthly minimum. OpenRouter Business for EU in-region routing

Fails closed: if no shared provider endpoint in Europe is available, the request errors instead of leaving the region. Requests served by your own BYOK key go to your deployment’s region, which you control. In-region routing docs

Documentation

Guides, cookbooks, blog posts, and tools for building with OpenAI: GPT-6 Luna Pro on OpenRouter.

  • GPT-6 Migration GuideCookbook

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Frequently asked questions

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete.

The GPT-6 Luna Pro documentation on OpenRouter includes the GPT-6 Migration Guide cookbook. The quickstart covers API keys and your first request, and the API reference lists every parameter.

GPT-6 Luna Pro costs $0.10/M input tokens and $0.50/M output tokens, with separate rates for Cache Read at $0.01/M tokens, Cache Write at $0.125/M tokens, and Web Search at $10.00/1K calls.

GPT-6 Luna Pro has a 1,050,000 token context window. It supports up to 128,000 completion tokens.

Yes. GPT-6 Luna Pro accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Yes. OpenAI caches prompts of 1024 tokens or more automatically, and GPT-6 Luna Pro bills a cache write on each cached prompt whether or not the cached prefix is read again. To turn caching off for a request, set prompt_cache_options.mode to "explicit" at the request root and do not mark any content block with prompt_cache_breakpoint. Explicit mode disables OpenAI-managed breakpoints, so a request with none of your own has no cacheable prefix and is billed at the plain input rate. See the prompt caching guide.

GPT-6 Luna Pro accepts files such as PDFs, images, and text as input and returns text.

GPT-6 Luna Pro is served by 2 providers on OpenRouter: OpenAI and Azure. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

GPT-6 Luna Pro was released on September 22, 2026.