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Decision summary

  • Hard coding and agents -> GPT-6 Sol
  • Classification, extraction, and cheap assistant turns -> GPT-6 Luna
  • Free or Go desktop trial -> GPT-6 Luna
  • Hardest OpenAI flagship work -> GPT-6 Astra, not either of these
  • Same tool list on the card -> still eval before you standardize

OpenAI GPT-6 tier comparison

Frontier comparison

GPT-6 Sol vs GPT-6 Luna

GPT-6 Sol and GPT-6 Luna launched together on September 22, 2026.

Featured · Updated today · Last verified: September 2026

Choose GPT-6 Sol when

Complex coding and agentic workflows that do not need Astra's price.

Choose GPT-6 Luna when

Focused, high-volume tasks and the cheapest GPT-6 API lane.

  • Hard coding and agents: GPT-6 Sol
  • Classification, extraction, and cheap assistant turns: GPT-6 Luna
  • Free or Go desktop trial: GPT-6 Luna

Decision axes: Best for · Access and platforms · Context window · Input and output

Reasoning

Same effort ladder, none through max, default medium.

Coding

Sol is the complex-coding lane. Luna is the high-volume lane. No head-to-head score is published.

Multimodal

Text and image in, text out. No audio or video.

Speed

Fast mode is 2× Standard on both.

Enterprise

Sol is on paid ChatGPT Work and Codex. Luna is also the Free and Go desktop trial.

Curated matrix for GPT-6 Sol vs GPT-6 Luna — confirm live limits and pricing on each vendor’s official pages.

How they compare

Criterion-by-criterion notes from the catalog—not a ranking. Validate on your own gold set.

CriterionGPT-6 SolGPT-6 Luna
Best forComplex coding and agentic workflows that do not need Astra's price.Focused, high-volume tasks and the cheapest GPT-6 API lane.
Access and platformsAPI ID gpt-6-sol. ChatGPT Work and Codex for Plus, Pro, Business, Enterprise, and Edu. Free API tier unsupported.API ID gpt-6-luna. Free and Go can try it in the desktop app. Paid plans also get it in ChatGPT Work and Codex. Free API tier unsupported.
Context window1,050,000 input; 128,000 max output. Knowledge cutoff April 20, 2026.1,050,000 input; 128,000 max output. Knowledge cutoff May 18, 2026.
Input and outputText and image input; text output. Audio and video are not supported.Text and image input; text output. Audio and video are not supported.
Reasoning controlnone, low, medium (default), high, xhigh, and max. Chat Completions function calling only at effort none.Same effort ladder as Sol, default medium. Same Chat Completions limit at effort none.
Coding and agentsResponses API tools include computer use, code interpreter, hosted shell, MCP, and apply patch.The same Responses API tool list is documented. That does not mean Luna matches Sol on hard repos.
Cost posture$2 / $0.20 cached / $2.50 cache write / $10 output per 1M. Above 272K input, 2× input and cache and 1.5× output for the full request.$0.10 / $0.01 cached / $0.125 cache write / $0.50 output per 1M. Same 272K long-context multipliers.
Operational riskNo official quality delta versus Luna is published. Prove Sol is necessary on your eval before paying the higher rate.Using Luna as the default for Astra-class work because the tool list looks the same.

Key insights

Concrete technical or product signals.

  • The price gap is 20× on input ($2 vs $0.10) and 20× on output ($10 vs $0.50) at standard short-context rates.
  • Knowledge cutoffs differ: Sol is April 20, 2026; Luna is May 18, 2026.
  • OpenAI's announcement says both list prices are 50% below GPT-5.6 promotional pricing. Compare the live cards, not the slogan, when you budget.

Use cases

Where this shines in production.

  • Routing inside the GPT-6 family
  • Cutting volume traffic off Sol
  • Deciding whether Free/Go Luna is enough to trial

Limitations & trade-offs

What to watch for.

  • No published Sol-versus-Luna benchmark. Missing scores are not a tie and not a win.
  • Not a substitute for the Astra comparison when you need the flagship.
  • Fast mode is 2× on both; it does not close the capability question.

Watch-outs

Who should pass, and what to validate before rollout.

  • Do not send Astra-class repos to Luna because the tools look the same.
  • Do not pay Sol rates for extraction and classification that Luna already clears.
  • Do not expect a free API tier on either ID.

Final recommendation

What to do after reading the table.

Route complex work to Sol and volume to Luna. Do not infer a winner from missing scores.

FAQ

Is GPT-6 Sol better than GPT-6 Luna?

Route complex work to Sol and volume to Luna. Do not infer a winner from missing scores.

Which is better for coding: GPT-6 Sol or GPT-6 Luna?

GPT-6 Sol: Responses API tools include computer use, code interpreter, hosted shell, MCP, and apply patch. GPT-6 Luna: The same Responses API tool list is documented. That does not mean Luna matches Sol on hard repos. The catalog does not declare a winner on coding and agents.

Which is cheaper: GPT-6 Sol or GPT-6 Luna?

Listed unit prices: GPT-6 Sol $2 / $0.20 cached / $2.50 cache write / $10 output per 1M. Above 272K input, 2× input and cache and 1.5× output for the full request; GPT-6 Luna $0.10 / $0.01 cached / $0.125 cache write / $0.50 output per 1M. Same 272K long-context multipliers. A lower listed unit price is not the same as a lower total workload cost—tokens, session minutes, caching, introductory rates, and add-on modes can reverse the ranking. Confirm live rates on each vendor’s official page.

Can I use both GPT-6 Sol and GPT-6 Luna?

Yes. Many teams keep both and route by constraint. Use GPT-6 Sol for Complex coding and agentic workflows that do not need Astra's price, and GPT-6 Luna for Focused, high-volume tasks and the cheapest GPT-6 API lane. Confirm vendor terms before mixing them in one production workflow.

Continue with

Official sources

This page is based on publicly available documentation, benchmarks, and real-world usage patterns. Last reviewed for accuracy recently.