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Model comparison

GPT-5.6 Luna vs GPT-5.6 Sol

Compare GPT-5.6 Luna and GPT-5.6 Sol using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.

Facts checked September 14, 2026

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
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.

Estimate your cost
ModelEstimated total (USD)
GPT-5.6 LunaOpenAI$0.0018
GPT-5.6 SolOpenAI$0.034

Quick take

GPT-5.6 Luna

The budget GPT-5.6 tier for processing many short, repeatable tasks.

Best for

  • Data extraction
  • Request routing

Watch out for

Low token prices do not guarantee a low task cost if the model needs retries or extensive reasoning.

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.

Best for

  • Complex coding and repository work
  • Long-document analysis with tools
  • General agents that need OpenAI's hosted tool ecosystem

Watch out for

Budget with the long-context multiplier, cached-input rules, tool charges, and reasoning tokens—not only the headline input/output rate.

Compare the published facts

GPT-5.6 Luna vs GPT-5.6 Sol

Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.

Text & reasoningGPT-5.6 LunaGPT-5.6 Sol
Context windowMaximum combined prompt and working context documented by the provider.1.05M tokens1.05M tokens
Maximum outputProvider-published response limit, where available.128K tokens128K tokens
Knowledge cutoffLatest 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.February 16, 2026February 16, 2026
Input priceCurrent standard list price per million input tokens unless noted.$0.2 / 1M$4 / 1M
Output priceCurrent standard list price per million output tokens unless noted.$1.2 / 1M$20 / 1M
InputsMedia types accepted by the listed model endpoint.Text, imageText, image
Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list.Functions, web/file search, code, computer, MCPFunctions, web/file search, code, computer, MCP

How to choose

Compare the job, not the hype.

Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.

GPT-5.6 Luna

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.

Provider and API links

GPT-5.6 Sol

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.

Frequently asked questions

GPT-5.6 Luna vs GPT-5.6 Sol FAQ

What is the main difference between GPT-5.6 Luna and GPT-5.6 Sol?

GPT-5.6 Luna: The budget GPT-5.6 tier for processing many short, repeatable tasks. 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.

Should I choose GPT-5.6 Luna or GPT-5.6 Sol?

Consider GPT-5.6 Luna when your priority is Data extraction. Consider GPT-5.6 Sol when your priority is Complex coding and repository work. Test both with your own data and provider route before committing.

Is this GPT-5.6 Luna vs GPT-5.6 Sol comparison based on Cody benchmarks?

No. This comparison aligns provider-published facts for the Text & reasoning category. It does not claim a universal winner or combine incompatible third-party benchmark scores.