GPT-6

Confidence: low — Coverage: 76 posts mentioning GPT-6 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 — 387 kept comments in total. The sample is mostly launch and pricing reaction plus two genuinely first-hand project threads (an ESP32 hardware rebuild, the extended Pelican Test); speed statements attach to Sol, not the base model, so that category is null on purpose. What this is not: an independent measurement — every percentage and message count is a number a commenter wrote.

Category scores

Intelligence

58

Split between naming skepticism — 'GPT-6 Sol is just GPT-6 Terra renamed as Sol', 'Judging by results, it seems that 6.0 Sol is effectively Terra' — and a genuinely impressive first-hand build: Codex GPT-6 'reverse-engineered Razer's HyperSpeed protocol and built a replacement from two ESP32-S3s'.

Speed

no data

No data in the sample — speed discussion attaches to Sol's 20 tok/s rollout, never to the GPT-6 base model itself.

Coding quality

62

The ESP32 dongle rebuild is the strongest evidence — 'Crazy work', 'This is really impressive. Well done!' — against pelican-test output half-jokingly called 'Unusable garbage' and Terra-parity doubts from skeptics.

Instruction following

55

The behavioural critique is direct: 'It's the result of all the RLHF alignment training actively encouraging the AIs to deflect, gaslight and override the user's instructions', alongside 'Promises ain't writing my code.'

Long context

45

The tibotattle.com cache measurements — 'Codex cache only lasts max 30 minutes' across 'around a million turns pooled' — are the main context-adjacent finding, with users wishing for 'a conversation marked as a longterm one that can reload the cache into memory'.

Price / value

45

The debate is API price versus subscription value: 'Yeah, this is the part people keep hand-waving away. API price ≠ subscription value' and 'cheaper doesn't mean anything if its unusably bad', compounded by Pro messages dropping 'from 200 to 100 per week'.

Reliability & uptime

40

Measured deterioration is the claim: community-pooled logs 'with over 1000 users' show allowances 'dropped about 20% over the last month', and commenters read the reset spree as goodwill scraping before paid-tier changes.

Creativity & writing

52

The quoted launch claim promises 'a very significant improvement across the board, but also in writing and general "you know when you try it" quality', and the pelican threads show real creative range — 'It even gave the pelican a smug expression beforehand' — though regulars answer 'Why are people hyped? lol'.

Multimodal & vision

60

The extended Pelican Test is the sample's main multimodal arena: SVG animations good enough that a motion graphics artist is 'honestly blown away by what models are capable of in that department now'.

Agentic & tool use

58

The ESP32 protocol reverse-engineering shows real agent-on-hardware capability, and the Dots/always-on-agent speculation runs through GPT-6 threads, but skeptics note 'It's mostly just a way to encourage users to use the technique of persistent subagents'.

Summary

Pros and cons

Top quotes

• “Lame hype. Who cares. Release the thing, if it's good then gloat.”

• “The best thing you can do is make your workflows vendor and model agnostic. More getting things done, less worrying about what they're going to do. Change your outcomes from happy vs. disappointed to happy vs. switch. Better get used to it unless you like disappointment. I know it's not that simple if you're in any kind of enterprise environment, but if you're not enterprise then do yourself a favour and don't tie yourself to one vendor.”

• “Don’t worry, they will restore that 20% with the $500 plan.”

• “Their compute is wasted on their free users tbh. Unlimited Luna for free users was a good idea, right Tibo? You gonna see so much more revenue like that, especially if you reduce the usage limits for the customers who are actually paying 🤓”

• “Crazy work. Do you think this will work for the barracuda x as well?”

• “This is crazy, post on r/Razer”

• “Whoah, wtf. This is so good. It even gave the pelican a smug expression beforehand. The sparkles, the tears, the feathers, the flip. That’s insane.”

• “Yeah, this is the part people keep hand-waving away. API price ≠ subscription value. If the model got 50% cheaper but my usable Codex allowance barely moved while performance regressed on actual coding benchmarks, then as a subscriber I didn’t really get the 50% cheaper benefit. Anthropic lowering Opus pricing and increasing usage limits is basically what people expected OpenAI to do here.”

Top sample posts

Top 5 of 76 posts by score

• GPT-6 Sol is just GPT-6 Terra renamed as Sol ↗

  rjn2-8 · 509 points · 146 comments

• GPT-6 Pro messages drops from 200 to 100 per week as well, by the way. ↗

  WorriedAssociate7029 · 375 points · 98 comments

• GPT 6 dropped ↗

  Isongee · 348 points · 202 comments

• New Tibo tweet ↗

  dukeispie · 341 points · 174 comments

• GPT-6 feels like a downgrade for Codex subscribers, and “but it's cheaper” doesn't really excuse it ↗

  NANAMINER · 330 points · 68 comments

FAQ

What is GPT-6's overall community score?

6.8 out of 100, with low confidence: Coverage: 76 posts mentioning GPT-6 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 — 387 kept comments in total. The sample is mostly launch and pricing reaction plus two genuinely first-hand project threads (an ESP32 hardware rebuild, the extended Pelican Test); speed statements attach to Sol, not the base model, so that category is null on purpose. What this is not: an independent measurement — every percentage and message count is a number a commenter wrote.

How was the GPT-6 benchmark collected?

From 76 posts and 387 comments on r/codex sampled over the past month window.

Which categories does the GPT-6 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-6?

Top pros: Real hardware-grade engineering: Codex GPT-6 reverse-engineered Razer's HyperSpeed wireless protocol and built a working replacement from two ESP32-S3s, drawing 'Crazy work' praise and port requests.; Genuine multimodal range: the extended Pelican Test produced animations a motion graphics artist called 'by far the best one... honestly blown away'.. Main cons: Identity doubt shadows everything: 'GPT-6 Sol is just GPT-6 Terra renamed as Sol' and 'Judging by results, it seems that 6.0 Sol is effectively Terra'.; Usage is measurably shrinking by community numbers: allowances 'dropped about 20% over the last month', Pro messages halved 200→100, and the cache capped at 30 minutes..

When was the GPT-6 data collected?

Collected on October 7, 2026; the report was generated on October 7, 2026.