OpenAI GPT 6 Sol

Confidence: low — Coverage: 10 posts from a single subreddit (r/singularity) inside the window the sample file labels month, all of them link posts, with up to 40 kept comments per post — 400 kept comments in total — and post scores ranging from 180 to 1,315. First-hand usage reports are limited to a handful of comments (a single full-day comparison, a single rollout report, subscription-tier limit complaints), and long context, creative writing and vision had no direct statements at all, so they are null on purpose. What this is not: an independent measurement. No benchmark was run here, and no tok/s, latency, price or API data was produced; every dollar figure, percentage and benchmark number quoted in this report is a number a commenter wrote, and commenters frequently dispute each other's figures. It is a self-selected launch-week sample concentrated around leak and announcement threads, so agreement between commenters is not agreement between measurements.

Category scores

Intelligence

72

Direct statements lean positive and are anchored to the previous Sol generation: 'maintaining intelligence at half the cost is huge', '6 sol is apparently better than 5.6 sol at a significantly reduced price', a full-day tester saw equal or slightly better results, and one early user says it 'seems more intelligent than 5.6'. A leaked-outputs thread calls it a 'Massive upgrade over astra', though regulars doubt that leaker. The ceiling is capped in the same comments: 'It's worse than Astra, but it's a solid model for its usage level' and 'Functionally a bit dumber all around'. Skeptics counter with quoted numbers — 'actually worse on LiveBench tests (52.9 vs 56.2)' and 'GPT-5.6 Sol is even better on HLE than 6 Sol' — and the AA Intelligence Index thread branded it a disappointment, a claim many commenters reject. Clearly a step over 5.6 Sol, not frontier.

Speed

68

Every direct speed statement is positive, but the layer is thin. 'GPT-6 Sol is essentially a cheaper/faster/smaller model than GPT-6 Astra', an early rollout report adds 'And gets done faster', and one comparison comment ends 'better, cheaper and a LOT faster'. The DevDay leak thread title touts 'Ultrafast around 750 tokens/s', but that figure appears in the post title, not in any commenter measurement, and nobody in the sample disputes Sol's speed or posts timing numbers. Positive consensus without evidence — scored positive with a wide bar.

Coding quality

68

Real first-hand evidence exists on both sides. Positive: 'Great coding for half the price of 5.6' is the top-voted reply in the disappointment thread, and the only full-day comparison in the sample ('Just tried gpt-6-sol for a full day in a project that I've been using gpt-5.6-sol daily for the past month... Results were either same or slightly better quality') ends with the tester switching as a daily driver. Mixed: '6 is only marginally better than 5.6 in agentic coding on AA, and is actually worse on LiveBench tests (52.9 vs 56.2)', 'gpt 6 sol is worse than gpt 5.6 terra', and 'It's just raw coding at which 5.6 sol might be better'. Also positioned as the planning side of 'Plan with Astra or Sol --> execute with Luna'.

Instruction following

48

Direct adherence judgements are rare and the one clear statement is negative: 'a lot of users agree 6-sol worse than 5.6 sol especially at following instructions and needs more hand holding.' The nearest supporting chatter is generic — 'it's all about intent, context, actual intelligence and sticking to plan now' — and a comment that OpenAI models are 'easier to manipulate without back and forth prompting'. With only a negative direct statement in the sample, this sits below the midpoint with a wide bar.

Long context

no data

No data in the sample — the only context-window remarks are pricing notes ('Price is 2x after 272k context' and 'By default, it doesn't let you go over 272k' in codex), and nobody reports how GPT-6 Sol performs on long documents or long sessions.

Price / value

76

The loudest, most repeated dimension and it leans strongly positive: 'GPT Sol is only $2 in $10 out', '0.07$ per task for similar or higher performance to luna 5.6 is bonkers', 'The cost cutting is the most significant thing tbh', and the switcher's verdict — 'for the 50% savings in cost alone, it makes complete economic sense for me to switch'. The vending-bench framing 'nearly matching Astra at 1/8 the cost' reinforces it. Counterpoints keep it below the top: 'My calculations show that 6 is 20% more expensive than 5.6 because of higher token usage', 'Price is 2x after 272k context', 'SOL... is still very expensive on a subscription', and pre-release anxiety — 'Please don't be too expensive!'

Reliability & uptime

55

No commenter reports Sol producing errors, outages or broken output; the complaints that do exist are about availability of the tier, not the model's behaviour. The loudest: 'With that disgusting 5h limit I can't get anything done even on Sol medium' (top reply chain of the leak thread), plus 'On plus account seems usage is going down as fast as for 5.6 sol ....' and hopes like 'I hope the usage for these are longer than Astra'. No positive reliability claims either — scored mid with no first-hand uptime evidence in either direction.

Creativity & writing

no data

No data in the sample — commenters evaluate Sol's coding, cost, speed and benchmarks, but nobody judges its creative writing or prose; the only prose remarks in the archive concern Opus 5.

Multimodal & vision

no data

No data in the sample — the only visual-workload remarks in the archive (3D modeling, computer use showcases, vibe-coding 3D) describe Astra and Opus 5, not GPT-6 Sol.

Agentic & tool use

66

Benchmark chatter is the direct evidence and it is positive but hedged. A commenter quotes the announcement — 'GPT-6 Sol at xhigh effort outperforms Claude Opus 5 at max effort at just 9% of Opus 5's cost per task' — with a 'Wow.', and the vending-bench thread reports Sol turning $500 into $14,428, 'nearly matching Astra at 1/8 the cost', though the same thread's top replies question the benchmark ('Everyone went up at least 16x. I'm not sure this is a useful benchmark'; 'It learned to overfit vending machine sim 2000'). A measured dissent: '6 is only marginally better than 5.6 in agentic coding on AA'. Usage patterns slot Sol into planning ('Plan with Astra or Sol --> execute with Luna. And all agent things...').

Summary

Pros and cons

Top quotes

• “A disappointment? Great coding for half the price of 5.6? Disappointment to who?”

• “yeah maintaining intelligence at half the cost is huge especially for API use cases”

• “GPT Sol is only $2 in $10 out. WTF!”

• “Results were either same or slightly better quality with gpt-6-sol for my workload.”

• “It is definitely way more efficient. And gets done faster. And so far seems more intelligent than 5.6”

• “6 sol is apparently better than 5.6 sol at a significantly reduced price. How is that a disappointment?”

• “a lot of users agree 6-sol worse than 5.6 sol especially at following instructions and needs more hand holding.”

• “6 is only marginally better than 5.6 in agentic coding on AA, and is actually worse on LiveBench tests (52.9 vs 56.2).”

• “With that disgusting 5h limit I can't get anything done even on Sol medium.”

• “Please don't be too expensive!”

Top sample posts

Top 5 of 10 posts by score

• Introducing GPT-6 Sol and Luna ↗

  DemiPixel · 1315 points · 312 comments

• GPT-6 Sol Outputs are Being Leaked! ↗

  141_1337 · 480 points · 166 comments

• Sonnet 5.5, Which Already Supposedly Beats GPT-6 Sol, Has Had a Last-Minute Upgrade With Release Expected Monday ↗

  ResultBackground2450 · 467 points · 75 comments

• GPT-6 Sol Appeared on the OpenAI API ↗

  141_1337 · 436 points · 84 comments

• GPT-6 Sol, Luna, and “Astra Minor” reportedly just appeared in Microsoft’s Azure model config ↗

  141_1337 · 343 points · 76 comments

FAQ

What is OpenAI GPT 6 Sol's overall community score?

65 out of 100, with low confidence: Coverage: 10 posts from a single subreddit (r/singularity) inside the window the sample file labels month, all of them link posts, with up to 40 kept comments per post — 400 kept comments in total — and post scores ranging from 180 to 1,315. First-hand usage reports are limited to a handful of comments (a single full-day comparison, a single rollout report, subscription-tier limit complaints), and long context, creative writing and vision had no direct statements at all, so they are null on purpose. What this is not: an independent measurement. No benchmark was run here, and no tok/s, latency, price or API data was produced; every dollar figure, percentage and benchmark number quoted in this report is a number a commenter wrote, and commenters frequently dispute each other's figures. It is a self-selected launch-week sample concentrated around leak and announcement threads, so agreement between commenters is not agreement between measurements.

How was the OpenAI GPT 6 Sol benchmark collected?

From 10 posts and 1247 comments on r/singularity sampled over the past month window.

Which categories does the OpenAI GPT 6 Sol 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 OpenAI GPT 6 Sol?

Top pros: Repeatedly framed as a major cost cut versus the previous Sol generation — 'Great coding for half the price of 5.6' — with the savings alone cited by a full-day tester as the reason to make it the new daily driver.; Sparse first-hand reports agree: equal or slightly better results than 5.6 Sol in the tester's own project, and an early user reports it is way more efficient and gets done faster.. Main cons: Consistently positioned below Astra — 'worse than Astra, but a solid model for its usage level' — and a popular theory holds it is a rebranded workhorse that inherited the Terra slot rather than a frontier release.; Direct instruction-following complaint that a lot of users agree 6-sol is worse than 5.6 sol at following instructions and needs more hand holding..

When was the OpenAI GPT 6 Sol data collected?

Collected on October 3, 2026; the report was generated on October 3, 2026.