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OpenAI: GPT-5.6 Luna

by OpenAI

Chatbots & LLMs
9.2
Quality score / 10
Visit OpenAI: GPT-5.6 Luna →Paid$1.00/1M tokens

Overview

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

How OpenAI: GPT-5.6 Luna stacks up

Among the 348 chatbots & llms tools in our directory, it ranks #3 of 343 on quality (9.2/10), 17% above the 343-tool average of 7.8, and its $1/1M input-token rate is in the mid-price range — 54% cheaper than the 334-model average of $2.18/1M.

Weighing quality against cost, OpenAI: GPT-5.6 Luna's cost-per-quality-point of $0.11 places it at #182 of 308 for value among chatbots & llms tools.

OpenAI: GPT-5.6 Luna in depth

OpenAI: GPT-5.6 Luna, built by OpenAI, sits in the chatbots & llms space and is a paid tool starting at $1.00/1M tokens. Our editors rate it 9.2 out of 10 based on capability, ecosystem and value. It handles a context window of 1,050,000 tokens.

On the feature side, OpenAI: GPT-5.6 Luna brings 1,050,000-token context window, vision (image input), reasoning / chain-of-thought and tool / function calling. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is large 1,050,000-token context window, bigger than most models listed here, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.

OpenAI: GPT-5.6 Luna is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
—
Context window
1,050,000 tokens
Free tier
No
Updated
2026-07-10

Key features

  • ✓1,050,000-token context window
  • ✓Vision (image input)
  • ✓Reasoning / chain-of-thought
  • ✓Tool / function calling
  • ✓Structured (JSON) outputs
  • ✓Knowledge cutoff 2026-02-16

Pricing

$1.00/1M tokens
Pay per token
Paid$1.00/1M tokens
API input
$1 / 1M tokens
API output
$6 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Large 1,050,000-token context window, bigger than most models listed here
  • +Built-in reasoning (chain-of-thought) mode for harder problems
  • +Accepts images as input (vision-capable)
  • +Supports tool / function calling for agent-style workflows

Cons

  • −No free tier — usage is billed per token

Who should use OpenAI: GPT-5.6 Luna

  • →Anyone looking for a chatbots & llms tool from OpenAI.
  • →Teams and individuals focused on research and writing.
  • →People who value large 1,050,000-token context window, bigger than most models listed here.
  • →Workflows that need a 1,050,000 tokens context window.

Who should look elsewhere

  • →Anyone who needs a free tier — this tool is paid only.
  • →Those for whom no free tier — usage is billed per token is a dealbreaker.

Best for

ResearchWriting

10 Best OpenAI: GPT-5.6 Luna Alternatives in 2026

OpenAI: GPT-5.6 Luna is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to OpenAI: GPT-5.6 Luna, ranked and compared.

1
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
2
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
3
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
4
OpenAI: GPT-5.6 Luna ProPaid$1.00/1M tokens

OpenAI

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with…

+ Large 1,050,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full OpenAI: GPT-5.6 Luna Pro review →
5
OpenAI: GPT-5.6 Terra ProPaid$2.50/1M tokens

OpenAI

GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served…

+ Large 1,050,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full OpenAI: GPT-5.6 Terra Pro review →
6
OpenAI: GPT-5.6 TerraPaid$2.50/1M tokens

OpenAI

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the…

+ Large 1,050,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full OpenAI: GPT-5.6 Terra review →
7
OpenAI: GPT-5.6 Sol ProPaid$5.00/1M tokens

OpenAI

GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with…

+ Large 1,050,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full OpenAI: GPT-5.6 Sol Pro review →
8
OpenAI: GPT-5.6 SolPaid$5.00/1M tokens

OpenAI

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic…

+ Large 1,050,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full OpenAI: GPT-5.6 Sol review →
9
Anthropic: Claude Sonnet 5Paid$2.00/1M tokens

Anthropic

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Anthropic: Claude Sonnet 5 review →
10
Sakana: Fugu UltraPaid$5.00/1M tokens

Sakana AI

Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Sakana: Fugu Ultra review →

OpenAI: GPT-5.6 Luna vs top alternatives

A side-by-side look at how OpenAI: GPT-5.6 Luna stacks up against its closest rivals.

FeatureOpenAI: GPT-5.6 LunaOpenAIClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score9.2 / 109.6 / 109.5 / 109.2 / 10
Starting price$1.00/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$1 / 1M tokens$2 / 1M tokens$1 / 1M tokens$1.5 / 1M tokens
API output price$6 / 1M tokens$10 / 1M tokens$6 / 1M tokens$9 / 1M tokens
Speed—FastFastFast
Context window1,050,000 tokens200K tokens128K tokens1M-2M tokens
CategoriesChatbots & LLMsChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, Writing
Key features
  • 1,050,000-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Industry-leading long context (200K+ tokens)
  • Artifacts for live previews
  • Strong agentic coding (Claude Code)
  • Vision and document analysis
  • Multimodal text, image and voice input
  • Advanced data analysis (code interpreter)
  • Custom GPTs and GPT Store
  • Web browsing and real-time search
  • Up to 2M token context window
  • Deep Google Workspace integration
  • Native video and audio understanding
  • Real-time Google Search grounding
Pros
  • + Large 1,050,000-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
  • + Best-in-class long-document reasoning
  • + Natural, high-quality writing
  • + Strong safety and reliability
  • + Most polished and widely supported ecosystem
  • + Excellent general reasoning and coding
  • + Huge third-party integration support
  • + Massive context window
  • + Tight integration with Google ecosystem
  • + Generous free access
Cons
  • − No free tier — usage is billed per token
  • − No native image generation
  • − Fewer consumer integrations than ChatGPT
  • − Usage caps on the most capable models
  • − Can be verbose and overly cautious
  • − Quality can be inconsistent on edge cases
  • − Privacy concerns for some users

Frequently asked questions

Q. Is OpenAI: GPT-5.6 Luna free?

No — OpenAI: GPT-5.6 Luna is a paid tool, starting at $1.00/1M tokens.

Q. How much does OpenAI: GPT-5.6 Luna cost?

OpenAI: GPT-5.6 Luna starts at $1.00/1M tokens. API usage is around $1 per 1M input tokens and $6 per 1M output tokens.

Q. What is OpenAI: GPT-5.6 Luna best for?

OpenAI: GPT-5.6 Luna is best suited to research and writing, within the chatbots & llms category.

Q. What are the best OpenAI: GPT-5.6 Luna alternatives?

Popular alternatives to OpenAI: GPT-5.6 Luna include Claude, ChatGPT, Gemini and OpenAI: GPT-5.6 Luna Pro. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to OpenAI: GPT-5.6 Luna?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from OpenAI: GPT-5.6 Luna?

Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token), data-privacy requirements, or simply wanting a tool that fits your stack better.

How we rate AI tools

Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

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