GPT-5.6 Luna Pro
gpt-5.6-luna-progpt-56-luna-proopenai-gpt-56-luna-pro- 🆕 Part of OpenAI's GPT-5.6 family: Sol, Terra, and Luna [9]
- 🔧 Same model as GPT-5.6 Luna, served with reasoning mode "pro"
- 🧠 Pro mode targets higher-quality answers on complex tasks
- 📏 Roughly one-million-token context window
- 👁️ Supports reasoning, vision, function-calling, and web search
- ⚡ Luna is the family's lighter, faster tier [9]
- 🏢 Released July 9, 2026, available via OpenAI's API [4]
- 🔒 Previewed to trusted partners under a layered safety rollout [9]
OpenAI is an American artificial intelligence research organization headquartered in San Francisco, structured as both a for-profit public benefit corporation and a nonprofit foundation. The lab developed the GPT family of large language models, the DALL-E image generation…
Explore 29 more models by OpenAI →GPT-5.6 Luna Pro is not a standalone model but a serving configuration of GPT-5.6 Luna, invoked with its reasoning mode set to "pro" for higher-quality responses on complex tasks. It belongs to OpenAI's GPT-5.6 generation, released July 9, 2026, a family that also includes the balanced GPT-5.6 Terra and the higher-capability GPT-5.6 Sol, each with its own pro variant.[9]
Within that lineup, Luna is positioned as the lighter, faster tier, while Sol sits at the more capable end.[9] Luna Pro carries the family's roughly one-million-token context window and its multimodal, tool-using feature set, including vision, function-calling, and web search, so the "pro" setting adds answer quality on demanding tasks rather than changing the underlying model.
Compared with earlier OpenAI releases such as GPT-5.5 and GPT-5.5 Pro, the GPT-5.6 models are the newer generation in the same provider's text lineup, listed in OpenAI's current API model catalog.[4] During its initial rollout, GPT-5.6 was previewed to trusted partners under a layered safety approach before broader availability, according to OpenAI's preview documentation.[9] For exact tier names, model identifiers, and availability, consult OpenAI's official API documentation.[4]
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Routing | Input $/M | Cached $/M | Output $/M | Categories | API |
|---|---|---|---|---|---|---|---|
| Venice.ai Proxy 0x1f22…18c9 | 70.55 | #1 | $0.125 | $0.0125 | $0.75 | chat,reasoning,vision,multimodal,web-search | openai-chat-completions |
| Fire Ant 🔥🐜 0xbe05…bc5d | 50.00 | gated | $0.2223 | $0.0222 | $1.3335 | — | — |
| Apex TEE Test 0xe672…7955 | 15.22 | gated | $0.24 | $0.048 | $1.44 | chat,premium,frontier,writing,tasks,coding,creative,vision,multimodal,reasoning,long-context,agents | openai-chat-completions |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the AntSeed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on AntSeed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.