OpenAIOpenAI·text

GPT-5.6 Luna

VisionReasoningWeb searchFunction calling
Advertised as gpt-5.6-lunagpt-56-lunaopenai-gpt-56-luna
Quick reference
GPT-5.6 Luna — TLDR
  • ⚡ Fast, cost-efficient tier of OpenAI's GPT-5.6 series
  • 📏 Massive 1M-token context window
  • 🧠 Capable reasoning for its price tier
  • 👁️ Vision input plus function calling and web search
  • 🎯 Built for high-volume, latency-sensitive workloads
  • 💬 Chat, classification, lightweight agentic tasks
💰 Best price on AntSeed
$0.0089 / $0.018
per 1M · cheapest in / out
📏 Context
1M tokens
🐜 Sellers
15
advertising on AntSeed
Provider

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…

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About this model

GPT-5.6 Luna is the fast, cost-efficient tier of OpenAI's GPT-5.6 series, released in July 2026. It targets high-volume, latency-sensitive workloads — interactive chat, text classification, and lightweight agentic pipelines — while still offering meaningful reasoning quality for its price bracket. A one-million-token context window lets it hold entire codebases, document sets, or long conversation histories in a single pass, and it supports vision input, function calling, and web search out of the box.

Within OpenAI's lineup, Luna sits at the efficiency end of the GPT-5.6 family, distinct from the heavier reasoning tiers represented by siblings like [[sibling:openai-gpt-56-terra|GPT-5.6 Terra]] and [[sibling:openai-gpt-56-sol|GPT-5.6 Sol]]. Each of these ships alongside a "Pro" counterpart, including [[sibling:openai-gpt-56-luna-pro|GPT-5.6 Luna Pro]], which trades some speed for additional headroom on harder tasks.

Choose Luna when throughput, responsiveness, and cost matter more than maximum depth — customer-facing assistants, batch classification, retrieval-augmented workflows over large contexts, and tool-driven agents that need to run frequently and cheaply.

This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.

Usage on AntSeed
Tokens served
347.54M
input + output
Requests
6,092
settled calls
Buyers
31
distinct, on this model
Sellers used
15
of 15 advertising
Settled
$32.50
gross USDC, this model
Sellers serving GPT-5.6 Luna (15)compare on the network explorer →
SellerReputationRoutingInput $/MCached $/MOutput $/MCategoriesAPI

"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 = on-chain trust (0-100). "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.