REVIEWS / AI MODELS / GPT-6.1 SOL UPDATED OCT 1, 2026 · 73 SOURCES

THE PRODUCT

GPT-6.1 Sol

GPT-6.1 Sol

OpenAI's budget LLM delivers near-Astra results at a fifth of the cost, but users call the GPT-6 lineage underwhelming and Pro plan limits just halved.

AI MODELS MEDIUM CONFIDENCE

THE VERDICT

6.4

REALITY SCORE · OUT OF 10 · CONFIDENCE MEDIUM

COMPOSED FROM

USERS 5.5 · 70 voices · 100%
CRITICS no published scores yet

SENTIMENT · 73 REVIEWS

+ 30% positive · 40% neutral − 30% negative

VISIT

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●39 YOUTUBE ●30 HN ●1 PRODUCTHUNT
USER● n=73
VIDEO● n=3
BRAND● AVAILABLE
INTERNET● n=0

AT A GLANCE · QUOTABLE

  • Rating: 6.4 / 10 (medium confidence)
  • User voices: 73 across 3 platforms
  • Sentiment: 30% positive · 30% negative
  • Updated: Oct 1, 2026

GYIBB rates the GPT-6.1 Sol 6.4/10 based on 73 user voices from 3 platforms. Confidence: medium. Source: https://gyibb.com/ai-models/gpt-6-1-sol

⚠ LIMITED DATA Based on 34 comments and 39 videos

BUY IF

Near-Astra capability at roughly a fifth of Astra's price (USER)

  • + Order of magnitude cheaper than Claude; ten parallel runs still cheaper (VIDEO)
  • + Minimal-first-pass output suits cheap iterative refinement (VIDEO)
  • + Reliable coding progress where rivals like DeepSeek 4 Pro broke builds (USER)

SKIP IF

GPT-6 Sol lineage seen as an overpriced rebrand of GPT-5.6 Terra (USER)

  • − Reported slower serving and more turns/tokens to reach the same result (USER)
  • − Pro plan usage halved from 20x to 10x Plus; $500 plan mirrors old $200 plan (VIDEO)
  • − 'Weird' default behavior; results swing sharply with effort settings (VIDEO)

Where the layers disagree ⚡

6 CONTRADICTIONS DETECTED

USER (HackerNews) calls predecessor GPT-6 Sol 'basically GPT-5.6 Terra for the price of Sol,' while VIDEO commenters hail 6.1 as 'an order of magnitude cheaper' than Claude - same pricing trait, opposite verdicts across layers.

VIDEO VS USER

VIDEO frames Sol's minimal-first-pass output as a deliberate low-cost iteration design; USER reports GPT-6 'spends more turns/tokens to get to the same place' - one layer's feature is the other layer's bug.

VIDEO VS USER

USER praises OpenAI's 'generous' fifth-price near-Astra offer, but VIDEO commenters report the Pro 200 plan halved from 20x to 10x Plus usage and the $500 plan matching the old $200 - API generosity coincides with subscription-limit shrinkage.

VIDEO VS USER

The 'Can It Code?' reviewer calls Sol 6.1 'weird,' but VIDEO commenters counter that the test ignored effort levels, which drastically change results - evaluation methodology is contested within the VIDEO layer itself.

VIDEO VS USER

USER reports GPT models refuse security tasks (pushing users to DeepSeek/Kimi); no VIDEO or BRAND data addresses refusals - an unverified gap.

BRAND VS VIDEO

USER benchmarks show high-tier Astra burning 215% of a weekly budget over 13 hours vs Opus 5.5's 20%, indirectly supporting VIDEO's claim that cheap parallel Sol instances are the rational economic pick.

BRAND VS VIDEO

Value depends on how you pay ⚖

SAME MODEL · TWO BUYERS

ON A SUBSCRIPTION

6.4

Claude Max · ChatGPT Plus · GLM Coding — flat rate, tokens don't bill

Flat-plan buyers get the capable-but-not-frontier tier: HackerNews commenters frame the GPT-6 Sol lineage as underwhelming versus Astra and Opus 5.5 on big refactors, and one reports GPT-6 being served slower with more turns per task. Video commenters add that the Pro plan halved usage from 20x to 10x Plus, so daily-limit value dropped even as capability held near Astra. Decent, not exciting.

ON PER-TOKEN API

7.7

Enterprise / pay-per-use — $/1M, latency, token efficiency bite

Per-token buyers are the clear winners: commenters call Sol 6.1 'an order of magnitude cheaper' than Claude - run ten parallel instances and still save - and OpenAI offers near-Astra intelligence at a fifth of Astra's price. The minimal-first-pass design keeps token spend low, though security-task refusals and reported slower Bedrock serving temper the deal.

WHERE THEY AGREE +

+ Near-Astra capability at roughly a fifth of Astra's price (USER)
+ Order of magnitude cheaper than Claude; ten parallel runs still cheaper (VIDEO)
+ Minimal-first-pass output suits cheap iterative refinement (VIDEO)
+ Reliable coding progress where rivals like DeepSeek 4 Pro broke builds (USER)

WHERE THEY DON'T −

− GPT-6 Sol lineage seen as an overpriced rebrand of GPT-5.6 Terra (USER)
− Reported slower serving and more turns/tokens to reach the same result (USER)
− Pro plan usage halved from 20x to 10x Plus; $500 plan mirrors old $200 plan (VIDEO)
− 'Weird' default behavior; results swing sharply with effort settings (VIDEO)
− Refuses security tasks, driving users to DeepSeek/Kimi (USER)

Where the 73 sources came from

VIEW EVERY CITATION →
YOUTUBE
39
HN
30
PRODUCTHUNT
1

The four realities of the GPT-6.1 Sol

Most review sites collapse everything into one number. We keep the layers separate so you can see where reality bends.

01
USER
n=73 · 3 platforms

What actual buyers say

Direct Sol commentary in the 70-comment (HN-skewed) pool is sparse but pointed. One highly-upvoted commenter says GPT-6 Sol 'was basically GPT-5.6 Terra for the price of Sol' and never shipped to ChatGPT, framing 6.1 as damage control - yet the same commenter praises the pricing: 'Astra for the fifth of the price... Astra was truly a milestone, and now they are offering similar intelligence for cheaper price.' Another liked GPT-5.6-era Luna on Amazon Bedrock but finds 6 'served slower... may spend more turns/tokens to get to the same place, so... not as fun,' arriving just as Anthropic shipped faster, cheaper fixes. A third avoided Sol entirely, benchmarking code review with Gemini Flash instead. Surrounding context sets the bar: Astra burned 215% of a week's $100-plan budget over 13 hours on a NURBS surface-modeling task while Opus 5.5 used 20%; DeepSeek 4 Pro wrecked a Linux porting project ('Linux wouldn't even boot by the end of the weekend'); and GPT models refuse security tasks that DeepSeek and Kimi will do. Net user verdict: Sol 6.1 is the rational budget pick in an expensive field - cheap near-Astra compute - while the capability jump over 5.6 is doubted and serving speed plus refusals are real irritants.
02
VIDEO
n=39 · YouTube

What reviewers showed on camera

Three videos, mixed depth. Brock Mesarich (144k subs, 78k views) covers the 6.1 Sol drop alongside ChatGPT Dots and Spaces; top comments complain the Pro 200 plan fell from 20x to 10x Plus usage ('a major downgrade') and that 'the 500 plan is almost the same as the previous 200 plan,' alongside genuine excitement ('I can think and it can do stupid work'). 'Can It Code?' (11.7k subs, 45k views) titles its review 'GPT-6.1 Sol Is So Weird'; commenters push back that effort levels - unmentioned in the test - 'make a huge difference,' that Sol is 'literally an order of magnitude cheaper' than Claude ('run ten Sol 6.1s simultaneously and it would still be cheaper'), and that Sol 'is designed to produce a minimal result on first try at a low cost so that you can iterate,' unlike Claude models that keep running to self-declared completeness. A small head-to-head from Jad M.H (442 subs, 2.7k views) pits Sol 6.1 vs Opus 5.5 with 'wild results'; a commenter notes 'Opus design is terribly vibe coded.' Video-layer signal: cheap, iteration-oriented, behaviorally quirky, highly sensitive to effort settings.

ChatGPT Dots are Here… GPT 6.1 Sol, ChatGPT Spaces & More

Brock Mesarich | AI for Non Techies · 77,989 views

"[comment] OpenAI and Anthropic are making it impossible for me to get sleep with all of these model drops 😅 [comment] Pro 200 plan being reduced from 20 x Plus usage to 10 x Plus Usage. This is a major downgrade. [comment] Fast, succinct a…"

GPT-6.1 Sol Is So Weird

Can It Code? · 44,686 views

"[comment] Effort levels makes a huge difference here and effort levels weren't mentioned so..... [comment] It’s literally an order of magnitude cheaper, you could run ten Sol 6.1s simultaneously, and it would still be cheaper. [comment] Sol…"

I Tested GPT-6.1 Sol vs Opus 5.5 (WILD RESULTS)

Jad M.H | AI Automation · 2,669 views

"[comment] Phenomenal stuff 🔥 [comment] Make for transport owner who wants to manage the driver and broker in a app [comment] Opus design is terribly vibe coded which is very weird. But regardless, insane work from them. [comment] That editi…"

03
INTERNET
n=0 · review sites

What the press said

No aggregate ratings were found for this product during the last harvest.
04
BRAND
official source

What the brand says

no brand page found

The official brand page was not successfully scraped during the last harvest.
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DATA SOURCES & AUDIT

39
YOUTUBE
30
HN
1
PRODUCTHUNT
3
YOUTUBE VIDEOS

73 data points across 3 platforms, synthesized via GYIBB's Truth Engine and fact-checked against source data before publication.

CONFIDENCE: MEDIUM · ANALYSED: OCTOBER 1, 2026 AT 04:11 PM · PROMPT V1.0 · READ METHODOLOGY →

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GYIBB SCORE: 6.4/10

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