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Model comparison

GPT-6 Sol vs GPT-6 Luna

Compare GPT-6 Sol and GPT-6 Luna using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.

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.

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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-6 LunaOpenAI$0.0009
GPT-6 SolOpenAI$0.017

Quick take

GPT-6 Sol

An OpenAI model for coding projects and assistants that carry out several steps with tools.

Best for

  • Codebase changes
  • Multi-step workflows
  • Long-document analysis with tools

Watch out for

Use Responses for tools with reasoning. Chat Completions function calling requires reasoning_effort=none. Fine-tuning is not supported, and long prompts trigger higher prices.

GPT-6 Luna

A low-cost OpenAI model for focused tasks repeated at scale, such as extraction, classification and short replies.

Best for

  • Data extraction
  • Request routing
  • High-volume customer replies

Watch out for

Use Responses for tools with reasoning. Chat Completions function calling requires reasoning_effort=none. Fine-tuning is not supported, and long prompts trigger higher prices.

Compare the published facts

GPT-6 Sol vs GPT-6 Luna

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-6 SolGPT-6 Luna
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.April 20, 2026May 18, 2026
Input priceCurrent standard list price per million input tokens unless noted.$2 / 1M$0.10 / 1M
Output priceCurrent standard list price per million output tokens unless noted.$10 / 1M$0.50 / 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-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.

Provider and API links

GPT-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

Frequently asked questions

GPT-6 Sol vs GPT-6 Luna FAQ

What is the main difference between GPT-6 Sol and GPT-6 Luna?

GPT-6 Sol: An OpenAI model for coding projects and assistants that carry out several steps with tools. GPT-6 Luna: A low-cost OpenAI model for focused tasks repeated at scale, such as extraction, classification and short replies.

Should I choose GPT-6 Sol or GPT-6 Luna?

Consider GPT-6 Sol when your priority is Codebase changes. Consider GPT-6 Luna when your priority is Data extraction. Test both with your own data and provider route before committing.

Is this GPT-6 Sol vs GPT-6 Luna 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.