r/codex · past month

GPT Luna

Community sentiment from 350 posts · 383 comments · collected October 7, 2026 · generated October 7, 2026

GPT Luna scores 31.4/100 overall in the r/codex community benchmark, collected October 7, 2026 from 350 posts and 383 comments. Its strongest category is Price / value at 92/100, and its weakest is Reliability & uptime at 52/100.

31.4/ 100

Confidence: medium — Coverage: 350 posts mentioning Luna from a single subreddit (r/codex) inside the window the archive labels month, with up to 40 kept comments per post across the 10 highest-scored posts — 383 kept comments in total. The sample is dominated by the Luna 6 price halving and its role in multi-agent setups; long-context, creative-writing and vision statements are absent, so those categories are null on purpose. What this is not: an independent measurement — every dollar figure is a number a commenter wrote.

Category scores

Intelligence

60

Judged a tier below its siblings but genuinely useful: a 6 Luna Max test produced 'code quality is EXACTLY the same' fixes at 1% of a 5-hour limit, while the launch discussion calls it 'marginal improvements to 5.6 but a huge cost savings. Not an Astra replacement by any means'.

Speed

62

Efficient rather than fast: 'I just did 40 mins of work for a single % of my 5hr usage on 6 Luna Max', but a tester notes it 'doesn't seem any faster than 5.6 Luna however'. The value is tokens-per-task, not tokens-per-second.

Coding quality

62

Real work reports are positive — the 16-file diff 'handled the last remaining place immediately', 40 minutes of production coding on a single percent — but the failure thread 'Luna just... rained poo on me' and 'the most painful coding day of my life undoing sol/luna 6 work' mark the floor.

Instruction following

62

Praised indirectly: multi-agent users make Luna the transcriber/implementor 'according to its own understanding of what's written' and report it holding meticulous setups. Direct adherence debate is absent.

Long context

no data

No data in the sample — the 272k-token pricing note lives on other models' threads; Luna's own top threads never test long documents.

Price / value

92

The clearest score in the sample: 'Luna for Input $0.10, Output - $0.50' triggered 'Absolutely No Fking Way! The pricing is WOWWW!', 'Wow. Luna is almost free', and 'It will literally be impossible to burn through your sub on luna now no matter the reasoning'. Competitors concede instantly: 'No reason to use Deepseek 4.1 flash now with Luna 6 that cheap!'

Reliability & uptime

52

The 'rained poo on me' thread is the sample's funniest failure report and heavy users report painful undo days, yet others run it 'all day... behaving quite nicely and saving me some tokens' after resets.

Creativity & writing

no data

No data in the sample — the writing debate happens on other models' threads; Luna is never judged on prose in its top threads.

Multimodal & vision

no data

No data in the sample.

Agentic & tool use

74

The sample's designated menial-task worker: 'Astra Max manager -> Sol 6.1 High lead worker -> Luna menial task setup', Luna-max orchestrators with verification subagents, and 'a botnet swarm of Luna models each time I need to center a div'.

Summary

The sample is 10 posts from r/codex inside the window the archive labels month, with up to 40 kept comments per post (383 kept in total), and it is the most one-sided of the eight: Luna's launch is celebrated almost entirely for its price. 'Absolutely No Fking Way! The pricing is WOWWW!' collects the numbers — 'Luna for Input $0.10, Output - $0.50' — and the top replies are pure approval: 'Wow. Luna is almost free', 'Holy shit they cut the price of Luna IN HALF? It was already dirt cheap', and 'Intelligence too cheap to meter is their entire motto and I am here for it!'.

The efficiency reports are concrete rather than hype. One user 'just did 40 mins of work for a single % of my 5hr usage on 6 Luna Max - and that's with a Plus subscription', and a comparison test found 6 Luna Max fixing a bug immediately with a 16-file diff at 'code quality EXACTLY the same' — taking 1% of a 5-hour limit where Sol's medium tier 'gives you approximately 5 small tasks per 5 hours'. 'It will literally be impossible to burn through your sub on luna now no matter the reasoning' is the recurring conclusion.

The catch is positioning. Even fans describe it as 'marginal improvements to 5.6 but a huge cost savings. Not an Astra replacement by any means', and the failure thread 'Luna just... rained poo on me' plus 'the most painful coding day of my life undoing sol/luna 6 work' mark the floor. A tester also notes it 'doesn't seem any faster than 5.6 Luna however' — the value is cost per task, not speed.

Where Luna dominates is the multi-agent economy: it is the designated menial-task worker in the sample's canonical setup ('Astra Max manager -> Sol 6.1 High lead worker -> Luna menial task setup'), the transcriber/implementor under Luna-max orchestrators, and jokingly 'a botnet swarm of Luna models each time I need to center a div'. Its cheapness is also read strategically — 'Thank you China.' — as a DeepSeek price-war response rather than pure generosity.

Everything here is archive-derived sentiment from a self-selected Reddit sample: no independent measurements, and every dollar figure is a number a commenter wrote.

Pros and cons

Pros

  • Price is the story and it's not close: $0.10/$0.50 in-out, 'Wow. Luna is almost free', and 'It will literally be impossible to burn through your sub on luna now no matter the reasoning.'
  • Efficiency reports are concrete: 'I just did 40 mins of work for a single % of my 5hr usage on 6 Luna Max - and that's with a Plus subscription.'
  • The multi-agent workhorse of choice — the menial-task worker in the sample's canonical Astra/Sol/Luna setup, and 'a botnet swarm of Luna models' for cheap parallel work.
  • Quality parity claims at the top end: a 6 Luna Max test produced 'code quality is EXACTLY the same' fixes immediately.

Cons

  • Positioned a tier down: 'marginal improvements to 5.6 but a huge cost savings. Not an Astra replacement by any means', and users keep Astra/Sol for the hard reasoning.
  • Failure reports are memorable: 'Luna just... rained poo on me' and 'the most painful coding day of my life undoing sol/luna 6 work'.
  • Not faster than its predecessor: 'it doesn't seem any faster than 5.6 Luna however' — the value is cost, not speed.
  • Its cheapness is read as strategy as much as feature: commenters frame the Luna halving as a DeepSeek price-war response ('Thank you China.').

Top quotes

  • “Holy shit they cut the price of Luna IN HALF? It was already dirt cheap. At this rate I’m going to be using a botnet swarm of Luna models each time I need to center a div”
    TheMightyTywin · 100 points positive view on Reddit ↗
  • “Openai models have this low key sense of humor that occasionally make me laugh like this. Opus 5.5 is value king right now, but it would never give you a moment like this.”
    Crafty-Run-6559 · 77 points positive view on Reddit ↗
  • “Intelligence too cheap to meter is their entire motto and I am here for it!”
    rajsharm404 · 46 points positive view on Reddit ↗
  • “Wow. Luna is almost free.”
    akkiannu · 51 points positive view on Reddit ↗
  • “Yeah I just did 40 mins of work for a single % of my 5hr usage on 6 Luna Max - and that's with a Plus subscription.”
    ImolaBoost · 23 points positive view on Reddit ↗
  • “I have an Astra Max manager -> Sol 6.1 High lead worker -> Luna menial task setup and it seems to use about 1% per hour right now on a difficult implementation, though that may be because Sol is slow, I haven't checked the tokens/sec.”
    demonwing · 16 points neutral view on Reddit ↗
  • “It will literally be impossible to burn through your sub on luna now no matter the reasoning. Incredible work.”
    ponzi_gg · 17 points positive view on Reddit ↗
  • “No reason to use Deepseek 4.1 flash now with Luna 6 that cheap!”
    BlacksmithLittle7005 · 28 points positive view on Reddit ↗

Top sample posts

Top 5 of 350 posts by score

FAQ

What is GPT Luna's overall community score?
31.4 out of 100, with medium confidence: Coverage: 350 posts mentioning Luna from a single subreddit (r/codex) inside the window the archive labels month, with up to 40 kept comments per post across the 10 highest-scored posts — 383 kept comments in total. The sample is dominated by the Luna 6 price halving and its role in multi-agent setups; long-context, creative-writing and vision statements are absent, so those categories are null on purpose. What this is not: an independent measurement — every dollar figure is a number a commenter wrote.
How was the GPT Luna benchmark collected?
From 350 posts and 383 comments on r/codex sampled over the past month window.
Which categories does the GPT Luna report score?
Intelligence, Speed, Coding quality, Instruction following, Long context, Price / value, Reliability & uptime, Creativity & writing, Multimodal & vision, Agentic & tool use.
What are the main community pros and cons for GPT Luna?
Top pros: Price is the story and it's not close: $0.10/$0.50 in-out, 'Wow. Luna is almost free', and 'It will literally be impossible to burn through your sub on luna now no matter the reasoning.'; Efficiency reports are concrete: 'I just did 40 mins of work for a single % of my 5hr usage on 6 Luna Max - and that's with a Plus subscription.'. Main cons: Positioned a tier down: 'marginal improvements to 5.6 but a huge cost savings. Not an Astra replacement by any means', and users keep Astra/Sol for the hard reasoning.; Failure reports are memorable: 'Luna just... rained poo on me' and 'the most painful coding day of my life undoing sol/luna 6 work'..
When was the GPT Luna data collected?
Collected on October 7, 2026; the report was generated on October 7, 2026.

Collected from public r/codex posts and comments via Reddit JSON API on October 7, 2026.

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