OpenAI Luna
Hacker ApprovedTied for most recommended of 11 small language models
A very cheap OpenAI model that people say handles everyday and agentic tasks nearly as well as bigger models; critics say it struggles with complex reasoning and coding.
A very cheap OpenAI model that people say handles everyday and agentic tasks nearly as well as bigger models; critics say it struggles with complex reasoning and coding.
274 people gave an opinion
- recommend it
- 218
- criticize it
- 56
- approval share
- 80%
Recommended in 7 of 13 months
- November 2025: not recommended
- December 2025: recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: not recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: recommended
- November 2026: recommended (month in progress)
Why it carries the badge
- 218 people recommend itNeeds 10 or more, met.
- 3.9 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 7 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Extremely cheap, great value
“Luna saw a huge jump after the price cut and is one of the more competitive models at the new price on openrouter.”
Comment from 17 Aug 2026 in “GPT-5.6 Sol Pricing Cut by 50%” “if the task is simple enough that they do come out cheaper than Sol, I can switch to Luna and come in even cheaper”
Comment from 9 Oct 2026 in “Why isn't the industry freaking out about DeepSeek 4.1 Flash?” “there are many models like deepseek v4 flash and luna that are both cheaper and way better than most other models”
Comment from 8 Aug 2026 in “Databricks drove down AI coding spend 70%” - Comment from 12 Aug 2026 in “DeepSeek V4 Pro 0813”
- Comment from 6 Aug 2026 in “Improving GPT-5.6 Sol in ChatGPT—and expanding access for free users”
- Comment from 17 Aug 2026 in “Qwen 3.8 27B is excellent, but it defaults to overthinking things”
- Comment from 14 Aug 2026 in “Accelerating GPT-5.6 Sol Ultrafast”
- Comment from 17 Jul 2026 in “Kimi K3 is now live”
- Comment from 27 Aug 2026 in “Small Models Have Arrived”
- Comment from 2 Sep 2026 in “Gemini 3.8 Flash and 3.8 Flash Cyber”
- Comment from 23 Sep 2026 in “GPT-6 Sol and Luna”
- Comment from 13 Aug 2026 in “Gemini 3.7 Flash”
- Comment from 30 Jul 2026 in “Advancing the price-performance frontier with GPT‑5.6”
- Comment from 19 Aug 2026 in “Cerebras CS4”
Rivals larger, pricier models
“In my real world use Luna is as useful to me as Sonnet. And it gets stuff done faster and follows my instructions more closely.”
Comment from 30 Jul 2026 in “Advancing the price-performance frontier with GPT‑5.6” “I use Luna a lot (over 1T tokens since it came out) and I'd rank Luna (high/xhigh) on par with Sonnet 5, without hesitation.”
Comment from 30 Jul 2026 in “Advancing the price-performance frontier with GPT‑5.6” “Luna is so extremely cheap and cranked up to max it does anything I'd want Terra to do for a fraction of the cost”
Comment from 12 Aug 2026 in “DeepSeek V4 Pro 0813” - Comment from 13 Aug 2026 in “Gemini 3.7 Flash”
- Comment from 17 Jul 2026 in “Kimi K3 is now live”
- Comment from 8 Oct 2026 in “Why isn't the industry freaking out about DeepSeek 4.1 Flash?”
- Comment from 7 Oct 2026 in “Meta and Microsoft take steps to reduce employee usage of Claude AI”
Good daily driver for simple tasks
“For lightweight/daily driver tasks, Gemini Flash 3.8, DeepSeek Flash, and Luna are still up there as favorites.”
Comment from 24 Oct 2026 in “Kimi K3.1 Pro and K3.1 Pro Highspeed” “Having a great time with Luna lately, even on Low reasoning effort, which I wasn't expecting at all.”
Comment from 16 Aug 2026 in “I Remain a Skeptic” “is ridiculously cheap @ $0.2/$1.2, easily accessible, and more than good enough for basic use cases”
Comment from 27 Aug 2026 in “Small Models Have Arrived” - Comment from 30 Jul 2026 in “Advancing the price-performance frontier with GPT‑5.6”
- Comment from 7 Aug 2026 in “DeepSeek announced to raise its API price tremendously”
- Comment from 13 Aug 2026 in “Gemini 3.7 Flash”
- Comment from 7 Oct 2026 in “Meta and Microsoft take steps to reduce employee usage of Claude AI”
Reliable tool calls, follows instructions
“Luna is the most impressive model released so far by any provider. It's perfect for doing all the low-level tool calling and developing hypotheses.”
Comment from 25 Jul 2026 in “Opus 5 is currently #1 on Artificial Analysis Intelligence Leaderboard” “I've been driving Luna xhigh in CoPilot CLI since it was released as my daily driver. Good reasoning, no problems with tool calls.”
Comment from 30 Jul 2026 in “Advancing the price-performance frontier with GPT‑5.6” “In my real world use Luna is as useful to me as Sonnet. And it gets stuff done faster and follows my instructions more closely.”
Comment from 30 Jul 2026 in “Advancing the price-performance frontier with GPT‑5.6” - Comment from 19 Jul 2026 in “Fable 5 vs. GPT-5.6 Sol on an NP-Hard Problem: Does /goal help?”
What people warn about
Each mark is one comment
Weak at complex reasoning, coding
“Luna and in general, smaller models, will struggle to understand the intent and complexities behind human language.”
Comment from 13 Oct 2026 in “Muse Wonder” “Sol was a lot happier with what Terra produced and would find far fewer issues than what was implemented by Luna.”
Comment from 22 Sep 2026 in “Claude Opus 5.5” “It's also pretty cheap if you're paying for it (for coding). But I don't quite trust it for anything complicated”
Comment from 6 Aug 2026 in “Improving GPT-5.6 Sol in ChatGPT—and expanding access for free users” - Comment from 13 Aug 2026 in “SpaceXAI's Grok 4.6 Scores 61 on the Artificial Analysis Intelligence Index”
- Comment from 30 Jul 2026 in “Advancing the price-performance frontier with GPT‑5.6”
- Comment from 13 Aug 2026 in “DeepSeek V4 Pro 0813”
Slow, needs high reasoning effort
“Luna is not really the fastest. You need to use it in high/max to get the good output for what it is good for: summarizing.”
Comment from 7 Oct 2026 in “Claude Haiku 5.5” “they’re quite slow (OAI seems to be really slow lately) and don’t have the reasoning traces”
Comment from 12 Aug 2026 in “DeepSeek V4 Pro 0813” “Luna xhigh can achieve similar scores on the evals, but it takes noticeably longer.”
Comment from 27 Aug 2026 in “Small Models Have Arrived” - Comment from 6 Oct 2026 in “Decisions API is in public beta”
Takes shortcuts, writes messy code
“I've had Luna take shortcuts (like adding an overload to methods whose signature it changed”
Comment from 21 Aug 2026 in “DeepSeek-v4-flash-vision-exp” “It imported the library and wrote spaghetti if-statement soup to get it to work.”
Comment from 23 Sep 2026 in “GPT-6 Sol and Luna” “Luna is that but worse so if you account for things like going down wrong paths”
Comment from 27 Aug 2026 in “Small Models Have Arrived”
Other small language models people recommend
The four most recommended other small language models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| OpenAI LunaThis page | 218 | 56 | 80% | 7 | — | Approved |
| Claude Haiku | 218 | 134 | 62% | 13 | 4 mo4 owners | — |
| Apple Foundation Models | 45 | 35 | 56% | 11 | 1 yr4 owners | — |
| Ministral | 18 | 6 | 75% | 8 | — | Approved |
| Microsoft Phi | 16 | 7 | 70% | 11 | — | Approved |
What people said
40 of the 355 comments that mention it, newest first. Each links to the original comment.
“For lightweight/daily driver tasks, Gemini Flash 3.8, DeepSeek Flash, and Luna are still up there as favorites.”
“Being able to directly distill their huge frontier models into Luna/Haiku-level models puts them a step ahead still.”
“Luna and in general, smaller models, will struggle to understand the intent and complexities behind human language.”
“if the task is simple enough that they do come out cheaper than Sol, I can switch to Luna and come in even cheaper”
“Luna 6 and now Haiku 5.5 are both very competitive if not better on all axes that we care about”
“Luna is not really the fastest. You need to use it in high/max to get the good output for what it is good for: summarizing.”
“You can get 99% of jobs and work done with Haiku/Luna in a collaberating working enviroment.”
“3 times more expensive at twice the latency with lower performance is a tough sell”
“Luna is SO MUCH cheaper that even if it spends 30K overhead in context its still much less costly”
“It imported the library and wrote spaghetti if-statement soup to get it to work.”
“Sol was a lot happier with what Terra produced and would find far fewer issues than what was implemented by Luna.”
“Narrowing down what a smaller model like Luna needs to look for / care about helps them do better work”
“An excellent model and still usually better value per dollar than Gemini if you pay for API tokens”
“Luna xhigh can achieve similar scores on the evals, but it takes noticeably longer.”
“Luna is that but worse so if you account for things like going down wrong paths”
“is ridiculously cheap @ $0.2/$1.2, easily accessible, and more than good enough for basic use cases”
“I've had Luna take shortcuts (like adding an overload to methods whose signature it changed”
“I moved over to luna since it's comparable speeds and cost for a lot more intelligence.”
“Luna saw a huge jump after the price cut and is one of the more competitive models at the new price on openrouter.”
“the electricity it costs to run on a 3090 is not negligible, so that it's cheaper to use Luna high via API”
“Having a great time with Luna lately, even on Low reasoning effort, which I wasn't expecting at all.”
“We've literally saved tens of millions already by switching to Luna for many workloads at my company.”
“Luna is very usable. I've plugged it into the slot I used to have GLM 5.2 in; I think it's just as good.”
“Both super fast, super cheap, and I have not felt need for anything more capable in few weeks.”
“Luna is cheap and is at DSV4F level, but it's not capable of advanced reasoning.”
“When I run a task across Sol, Terra, and Luna, I get variations of the same thing with diminishing quality.”
“Luna is so extremely cheap and cranked up to max it does anything I'd want Terra to do for a fraction of the cost”
“they’re quite slow (OAI seems to be really slow lately) and don’t have the reasoning traces”
“there are many models like deepseek v4 flash and luna that are both cheaper and way better than most other models”
“Luna has actually been my favorite coding model that predictably just works at boring dev tasks.”
“It's also pretty cheap if you're paying for it (for coding). But I don't quite trust it for anything complicated”
“I've been driving Luna xhigh in CoPilot CLI since it was released as my daily driver. Good reasoning, no problems with tool calls.”
“In my real world use Luna is as useful to me as Sonnet. And it gets stuff done faster and follows my instructions more closely.”
“Luna's now cheaper than 5.4-nano (for output tokens). That's a significant improvement.”
“Luna is good as an end user model for simple tasks like classification, but not as a coding model.”
“I use Luna a lot (over 1T tokens since it came out) and I'd rank Luna (high/xhigh) on par with Sonnet 5, without hesitation.”
“Luna is the most impressive model released so far by any provider. It's perfect for doing all the low-level tool calling and developing hypotheses.”
“Luna respect AGENTS.md and even refuse to mark a task slice completed without testing because i wrote this as rule.”
“Luna 5.6 xhigh scores within the margin of error the same as Opus 4.8 max on DeepSWE for 8x cheaper”
“Luna looks quite interesting though, happy to see OpenAI still serving the more budget-oriented side of the market”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.