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Text & reasoningLive
OpenAIGPT-5.6 Luna
The budget GPT-5.6 tier for processing many short, repeatable tasks.
Plain-English overview
What GPT-5.6 Luna actually is
Luna accepts text and images and supports structured output and tools. Start with narrow tasks such as tagging, extracting fields and routing requests, then check accuracy before expanding its responsibilities.
Good fit for
- Data extraction
- Request routing
Category comparison
The facts that matter for text models
These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.
- Context window
- 1.05M tokensMaximum combined prompt and working context documented by the provider.
- Maximum output
- 128K tokensProvider-published response limit, where available.
- Knowledge cutoff
- February 16, 2026Latest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff.
- Input price
- $0.2 / 1MCurrent standard list price per million input tokens unless noted.
- Output price
- $1.2 / 1MCurrent standard list price per million output tokens unless noted.
- Inputs
- Text, imageMedia types accepted by the listed model endpoint.
- Tools & agents
- Functions, web/file search, code, computer, MCPSelected native tools and agent-building capabilities, not an exhaustive list.
Pricing & comparisons
Estimate your cost
Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
Advanced options
GPT-5.6 Luna
OpenAI
Estimated total (USD)
For the usage above · USD · API pricing, not a subscription
- Input tokens
- $0.20 per 1M tokens
- Output tokens
- $1.20 per 1M tokens
How this estimate works
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
API and provider access
Where to get GPT-5.6 Luna
Availability
Regions and access stage
Direct API access in supported countries; account and regional restrictions apply.
Check OpenAI's live supported-country list before deployment.
Check live availabilityData and training
The route matters.
OpenAI says API inputs and outputs are not used for model training by default. Default abuse-monitoring logs may be retained for up to 30 days; qualifying organizations can request other controls.
This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.
Read the provider policyFrequently asked questions
GPT-5.6 Luna FAQ
What is GPT-5.6 Luna?
The budget GPT-5.6 tier for processing many short, repeatable tasks. Luna accepts text and images and supports structured output and tools. Start with narrow tasks such as tagging, extracting fields and routing requests, then check accuracy before expanding its responsibilities.
When was GPT-5.6 Luna released?
GPT-5.6 Luna was released on July 9, 2026 according to the cited provider materials.
Where can I access GPT-5.6 Luna?
Direct API access in supported countries; account and regional restrictions apply. The access routes listed in this guide are OpenAI.
How much does GPT-5.6 Luna cost?
$0.2 input · $1.2 output / 1M tokens. Standard API rates. Long-context prompts above 272K input tokens cost more; caching and tools are billed separately.
Where is GPT-5.6 Luna available?
Direct API access in supported countries; account and regional restrictions apply. Check OpenAI's live supported-country list before deployment.
Is my GPT-5.6 Luna API data used for training?
OpenAI says API inputs and outputs are not used for model training by default. Default abuse-monitoring logs may be retained for up to 30 days; qualifying organizations can request other controls. The policy belongs to the provider route and account terms, so verify it again before production use.
Price comparison
One price per model, using the same input/output mix. We weight each API rate by its share of one million total tokens and use the lowest matching reviewed route. This is a comparison rate, not a cost per task or a quality score. Tokenizers, caching, reasoning and long context can change your actual bill.
75% input + 25% output · no cache discounts
- Mistral Small 4$0.2625
Mistral AI
- GPT-5.6 Luna$0.45
OpenAI
This model
- Gemini 3.8 Flash$1.50
Google
- Claude Haiku 4.5$2.00
Anthropic
- Claude Sonnet 5$4.00
Anthropic
- GPT-5.6 Terra$4.50
OpenAI
- GPT-5.6 Sol$8.00
OpenAI
- Claude Opus 5$10.00
Anthropic
- Claude Fable 5$20.00
Anthropic
- GPT-6 Astra$20.00
OpenAI
- Claude Fable 5.1$20.00
Anthropic
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Head-to-head comparisons
GPT-5.6 Luna vs GPT-5.6 Terra
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Open full comparisonGPT-5.6 Luna vs Claude Fable 5
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Open full comparisonGPT-5.6 Luna vs Claude Opus 5
A Claude model for substantial code changes, reasoning and business workflows with many steps.
Open full comparisonGPT-5.6 Luna vs Claude Sonnet 5
A lower-priced Claude option for everyday coding, writing and tool-assisted work.
Open full comparisonGPT-5.6 Luna vs Claude Haiku 4.5
A compact Claude model for quick replies, classification and narrowly scoped assistants.
Open full comparisonGPT-5.6 Luna vs GPT-6 Astra
OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools.
Open full comparisonGPT-5.6 Luna vs GPT-5.6 Sol
OpenAI's flagship general model for difficult coding, analysis, and professional work, with a very large context window and a broad native tool set.
Open full comparisonGPT-5.6 Luna vs Claude Fable 5.1
Anthropic's frontier model for ambitious, long-running agentic and coding work, with strong vision and enterprise marketplace availability.
Open full comparisonGPT-5.6 Luna vs Gemini 3.8 Flash
Google's stable, high-efficiency multimodal model for agents, software work, and large mixed-media inputs at an introductory Flash-tier price.
Open full comparisonGPT-5.6 Luna vs Grok 4.6
SpaceXAI's frontier text-and-image model for coding, agentic tasks, and knowledge work, with direct web, X, and code tools.
Open full comparisonGPT-5.6 Luna vs Grok 4.20 Multi-Agent Beta
A specialist Grok model that sends several AI agents to investigate a difficult question in parallel, then combines their work into one researched answer.
Open full comparisonGPT-5.6 Luna vs Inkling
Thinking Machines Lab's large open-weights model for customizable reasoning, coding, tools, vision, and audio workflows.
Open full comparisonGPT-5.6 Luna vs Mistral Medium 3.5
Mistral's open-weight frontier model for demanding multimodal, coding, reasoning, and agent workflows, with a 256K context window.
Open full comparisonGPT-5.6 Luna vs Mistral Small 4
Mistral's lower-cost open model that combines normal instruction following, reasoning, coding, vision, and agent tools in one endpoint.
Open full comparisonGPT-5.6 Luna vs Qwen3.8 Max
Alibaba's frontier Qwen model for long-context reasoning, coding, tools, and understanding text, images, and video.
Open full comparisonGPT-5.6 Luna vs MiniMax M3
MiniMax's million-token multimodal model for coding, agents, computer use, and long projects at a low direct API price.
Open full comparisonGPT-5.6 Luna vs GLM-5.3
Z.ai's open-weight long-context reasoning model for coding, tools, and agentic work across self-hosted and managed routes.
Open full comparisonGPT-5.6 Luna vs Kimi K3
Moonshot AI's frontier multimodal model for million-token coding, reasoning, knowledge work, and tool-driven agents.
Open full comparisonGPT-5.6 Luna vs Falcon-H1R-7B
TII's compact open reasoning model for text tasks, long contexts, and self-hosted function-calling workflows.
Open full comparisonGPT-5.6 Luna vs Falcon-H1-34B-Instruct
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Open full comparisonGPT-5.6 Luna vs Muse Spark 1.3
Meta's latest multimodal reasoning model for long-running agents, coding, tools, and complex user collaboration.
Open full comparisonGPT-5.6 Luna vs Celeris-1 Magnus
Celeris' agent-focused diffusion language model for fast reasoning, tool loops, structured actions, and OpenAI-compatible integration.
Open full comparisonGPT-5.6 Luna vs NVIDIA Nemotron 3 Ultra
NVIDIA's largest Nemotron 3 reasoning model for complex agents, coding, planning, tools, RAG, and million-token analysis.
Open full comparisonGPT-5.6 Luna vs NVIDIA Nemotron 3.5 Lightning
NVIDIA's compact 30B mixture-of-experts model for efficient specialist agents and high-volume text workflows.
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Alibaba's efficient million-context multimodal model for fast agents, coding, document work, vision, video understanding, and tool use.
Open full comparisonGPT-5.6 Luna vs DeepSeek-V4-Pro
DeepSeek's flagship million-context text model for difficult reasoning, coding, long-running agents, tools, and very large outputs.
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DeepSeek's lower-cost V4 model for high-volume reasoning, coding, agents, and million-token text workloads.
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