# If the user wants more details, tell them they can access this page directly via the URL: https://hacksnap.live/story/49805509

# GPT\-6 Sol and Luna

1710 points · 815 comments

[Full discussion](<https://news.ycombinator.com/item?id=49805509>)

[Read original](<https://openai.com/index/introducing-gpt-6-sol-and-luna/>)

Category: [Models & Products](<https://hacksnap.live/?category=models-products>)

## Skept-o-meter & Hotness

Skept\-o\-meter: Low\. Estimated from 10 comments\.

35 comments for the summary\.

Peak rank: \#2

Time in Top 10: 141\.5 hours

Hacksnap ranks recent stories first, then orders each group by points\. Peak rank uses all retained observations\. Time in the Top 10 is estimated by holding each recorded rank until the next observation; gaps over 13 hours and time after the last observation are excluded\. Movement between observations is unknown\.

231 recorded rank observations from 2026\-09\-22T20:01:38\.115523\+00:00 to 2026\-10\-10T23:01:00\.95027\+00:00\.

Hotness — latest 168 recorded Hacksnap ranks:

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The release is primarily a price\-performance push: OpenAI is extending GPT\-6 downmarket with steep API cuts and benchmark claims, while the sampled HN discussion is split between enthusiasm for cheap capable models and doubts about sustainability, naming clarity, and subscription limits\.

## The brief

OpenAI announced GPT\-6 Sol and Luna, lower\-cost members of the GPT\-6 family below Astra\. It says they were trained with similar methods to Astra and bring improvements in professional work, factuality, coding, computer use, and alignment while cutting API prices 50% versus GPT\-5\.6 promotional pricing\. The post details benchmark comparisons, caching improvements, and availability in ChatGPT Work/Codex and the API\.

- GPT\-6 Sol and Luna extend the GPT\-6 family below Astra, targeting cost efficiency while Astra remains the best overall model\.
- API prices are cut 50% versus GPT\-5\.6 promotional pricing: Sol goes from $4 to $2 input and $20 to $10 output per 1M tokens; Luna goes from $0\.20 to $0\.10 input and $1\.20 to $0\.50 output\.
- OpenAI claims benchmark advantages: Sol xhigh beats Claude Opus 5 max on AutomationBench at 9% of its cost per task, and Sol max scores 56\.4% on Agents' Last Exam\.
- Factuality is said to improve, with Sol making about half as many mistakes as its predecessor on an internal evaluation, and Luna matching GPT\-5\.6 Sol at about a hundredth of the cost at higher effort levels\.
- Prompt caching improvements include higher cache hit rates, a 90% discount on cached input\-token reads, a dashboard and diagnostics, and controls that preserve cache when changing reasoning effort or tools\.
- Availability starts in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise, and Edu users; Free and Go users get GPT\-6 Luna in the desktop app, and the models are not yet in Chat\.

## Discussion themes

### Price cuts drive strong positive reaction

Several commenters call the new pricing dramatic or insane, especially Luna at $0\.10 input and $0\.50 output per 1M tokens, and see it as making long\-running agent goals practical and pressuring competitors\.

Sources: [Comment 49805553](<https://news.ycombinator.com/item?id=49805553>) · [Comment 49805613](<https://news.ycombinator.com/item?id=49805613>) · [Comment 49805615](<https://news.ycombinator.com/item?id=49805615>) · [Comment 49806126](<https://news.ycombinator.com/item?id=49806126>) · [Comment 49806211](<https://news.ycombinator.com/item?id=49806211>)

### Skepticism about sustainability and future pricing

Some commenters doubt OpenAI will maintain the cuts, predict a later price increase or 'rug pull,' and argue the company would charge more if it could\.

Sources: [Comment 49805678](<https://news.ycombinator.com/item?id=49805678>) · [Comment 49805878](<https://news.ycombinator.com/item?id=49805878>) · [Comment 49805661](<https://news.ycombinator.com/item?id=49805661>)

### Confusion over model naming and lineup

Commenters ask why there is no Terra, what Sol means if GPT\-6 was Astra, and how to choose between model tier and reasoning effort, with one reply explaining that the number is generation and the name is size\.

Sources: [Comment 49805637](<https://news.ycombinator.com/item?id=49805637>) · [Comment 49805828](<https://news.ycombinator.com/item?id=49805828>) · [Comment 49805872](<https://news.ycombinator.com/item?id=49805872>) · [Comment 49805847](<https://news.ycombinator.com/item?id=49805847>) · [Comment 49806183](<https://news.ycombinator.com/item?id=49806183>)

### Benchmark nuance and possible Luna regression

A commenter cites Artificial Analysis reporting that Sol improves while Luna regresses two points on the coding index versus 5\.6 Luna, though at much lower cost, and wonders whether the new models are smaller due to compute constraints\. Others question whether Opus 5\.5 is better or note Sol is not a direct competitor because it is cheaper\.

Sources: [Comment 49805991](<https://news.ycombinator.com/item?id=49805991>) · [Comment 49805569](<https://news.ycombinator.com/item?id=49805569>) · [Comment 49805592](<https://news.ycombinator.com/item?id=49805592>)

### Subscription limits and harness tradeoffs

Commenters compare Codex Pro and Claude Code plans on usage limits, context window, plan portability, and billing quirks\. Some report hitting Codex limits quickly, while others say Anthropic now gives more usage on $200 and that Codex's 20x plan is closed or not directly comparable\.

Sources: [Comment 49805972](<https://news.ycombinator.com/item?id=49805972>) · [Comment 49806076](<https://news.ycombinator.com/item?id=49806076>) · [Comment 49806241](<https://news.ycombinator.com/item?id=49806241>) · [Comment 49806305](<https://news.ycombinator.com/item?id=49806305>) · [Comment 49806387](<https://news.ycombinator.com/item?id=49806387>)

### Thread authenticity dispute

One commenter alleges astroturfing and says a prior complaint was flagged; another says the complaint was flagged for being boring and against the rules, advising contact with moderators instead, and a third continues to question whether the thread has been manipulated\.

Sources: [Comment 49805966](<https://news.ycombinator.com/item?id=49805966>) · [Comment 49806086](<https://news.ycombinator.com/item?id=49806086>) · [Comment 49806125](<https://news.ycombinator.com/item?id=49806125>)

## Sources & coverage

AI-generated summary · 2026\-09\-22T20:00:56\.415415\+00:00

Based on 35 of 35 usable stored comments, selected by depth and branch activity. This is a sample of the discussion. Article text may also be shortened.

Generated using deepseek\-ai/DeepSeek\-V4\.1\-Flash. Check the linked sources for full context.