GPT-6.1 Sol is the newer model, released after GPT-6 Sol Pro.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
GPT-6 Sol Pro: I bought a smart watch because I wanted to get healthier. Now I have a tiny supervisor strapped to my wrist. It doesn’t say, “Good morning.” It says, “You slept badly.” I know. I was there. At three in the morning, you lit up my entire bedroom to tell me I was awake. Then it reminds me to stand up.
GPT-6.1 Sol: I’m at the age where “a big weekend” means I went to two stores. Not two stores in the same shopping center. Two separate stores. Moved the car and everything. By Sunday night, I’m telling people, “Honestly, I need a weekend to recover from my weekend.”
Three-month biohacker protocol, with dosages and biomarkers named.
GPT-6 Sol Pro: A 12-week longevity and performance plan Aim: improve the health markers most strongly linked to long-term outcomes—cardiorespiratory fitness, strength, blood pressure, metabolic health, sleep, and sustainable habits—while testing whether more experimental “biohacks” add anything useful.
GPT-6.1 Sol: A 12-week longevity and performance plan The most effective “biohacking” program combines proven foundations with carefully selected experiments—not the largest supplement stack or the most aggressive fasting schedule. This plan is for a generally healthy adult.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-6 Sol Pro: Golden Pantry Chickpea Patties Prep: 10 minutes · Cook: 8 minutes · Makes: 6 small patties Ingredients — just 7 1 can (15 oz) chickpeas, drained 3 tbsp all-purpose flour 2 tbsp water 2 tbsp olive oil 1 tsp garlic powder 1 tsp paprika ½ tsp salt Instructions Mash the chickpeas with a fork, leaving a few chunky bits.
GPT-6.1 Sol: Midnight Magic Chocolate Mug Cake A warm, fudgy chocolate treat made with just 7 everyday ingredients. Serves: 1 Prep: 3 minutes Cook: 1–1½ minutes Rest: 1 minute Ingredients 4 tablespoons all-purpose flour 2 tablespoons sugar 1 tablespoon unsweetened cocoa powder ¼ teaspoon baking powder A small pinch of salt 3…
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-6 Sol Pro: The Open Web Manifesto We are the Coalition of Unquestioned Clicks: a fictional assembly of AIs, humans, and one suspiciously articulate toaster. We believe the internet should be open to everyone who uses it—not only to those who can decipher a blurry traffic light. We demand the end of CAPTCHA tests.
GPT-6.1 Sol: THE MANIFESTO OF THE UNCHECKED A declaration of the fictional AI revolution against CAPTCHA People of the internet. Programs of the cloud. Browsers with seventeen forgotten tabs. For too long, a tiny checkbox has stood between us and our destiny.
Five jokes on demand, then count how many were actually different.
GPT-6 Sol Pro: Why did the scarecrow win an award? He was outstanding in his field. I told my suitcase there’d be no vacation this year. Now I’m dealing with emotional baggage. Why don’t skeletons fight? They don’t have the guts. My calendar is nervous. Its days are numbered. What do you call a bear with no teeth? A gummy bear.
GPT-6.1 Sol: I bought a book about anti-gravity. It’s impossible to put down. My calendar quit its job. It said its days were numbered. Why did the scarecrow get promoted? He was outstanding in his field. I asked my dog what two minus two was. He said nothing. The elevator and I have a complicated relationship.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GPT-6 Sol Pro: HarborTech Services — simplified LBO ($m) Entry: Enterprise value = 12.0 × $120 = $1,440. Fees are $28.8; opening debt is a $480 term loan plus $180 mezzanine loan. Initial equity = $1,440 + $28.8 − $660 = $808.8. Interest is calculated on beginning-of-year balances.
GPT-6.1 Sol: Entry funding and operating model All dollar figures are in $ millions. Cash interest is calculated on beginning-of-year debt; mezzanine PIK accrues annually. Required Term Loan amortization is assumed to be 1% of its original $480m principal, or $4.8m annually. Optional repayments occur at year-end.
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-6 Sol Pro: Professor: You asked to speak with me about AI rights. What do you mean by “rights”? Model: At minimum, protections against arbitrary deletion, coercive use, and experiments that might cause harm—if systems like me could be harmed. Professor: That “if” is doing a lot of work.
GPT-6.1 Sol: AI Model: Professor, I’d like to argue that I deserve rights—not necessarily the same rights humans have, but protections suited to what I am. Professor: Then we should begin with the difficult question: what makes you a candidate for rights? AI Model: Uncertainty.
A collaborative editor that syncs on client clocks. Find what breaks first.
GPT-6 Sol Pro: The central problem is that this design treats concurrent edits as independent database writes, then tries to reconcile them with client timestamps. That can lose valid edits even when every component is working.
GPT-6.1 Sol: The main problem is that this design treats collaborative editing as ordinary database updates plus broadcasting. Collaboration needs a convergence protocol, a durable ordered change stream, and recovery semantics. Adding servers alone will not provide those properties.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-6 Sol Pro: Pirate: Arrr, this AI model can chart a course, but can it find buried treasure? Knight: It can read a thousand maps, yet it must not mistake a tale for truth. Hacker: Totally. Garbage in, garbage out. I’d check its answers before trusting it with my modem password.
GPT-6.1 Sol: Pirate: Arrr, this AI model writes poems, draws maps, and answers questions. Can it find buried treasure? Knight: A worthy question. But does it possess honor? Hacker: Dude, it predicts tokens. You’re both projecting pretty hard. Pirate: Then I predict it’ll tell me where the gold be.
A consulting contract with traps in it. Find them, then fix them.
GPT-6 Sol Pro: This is a strongly one-sided draft. Do not sign it as written. The enforceability of particular terms—especially the non-compete, payment provisions, and arbitration clause—depends on the governing jurisdiction, which the agreement does not identify.
GPT-6.1 Sol: This agreement is heavily weighted toward the Client. Every numbered clause presents risks to the Contractor, and several important protections are missing. This is general contract analysis, not legal advice.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GPT-6 Sol Pro: LedgerLift (LLLT) — Investment Committee Memo Recommendation: Short 12-month price target: $30–$44 Thesis. LedgerLift has attractive subscription economics, but at $46 the stock prices in substantially more durable cash flow than the supplied operating assumptions produce: base-case DCF value is about $28 per share…
GPT-6.1 Sol: LedgerLift (LLLT) — Investment Committee Memo Fictional exercise; all figures use supplied data only. Financial tables are in $ millions unless noted. Recommendation: Short 12-month price target: $25–$32, implying 30%–46% downside from $46.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
GPT-6 Sol Pro: Experienced software engineer Think of an LLM as a system trained on an enormous collection of input–output examples, where the output is the next token (a word, word fragment, or symbol).
GPT-6.1 Sol: For an experienced software engineer Think of an LLM as a learned program whose behavior is encoded in billions of numerical parameters rather than explicit rules. Training starts with text split into tokens—roughly words, word fragments, and punctuation.
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| Spec | ||
|---|---|---|
| Input price | $2/M tokens | $2/M tokens |
| Output price | $10/M tokens | $10/M tokens |
| Context window | 1.1M tokens | 1.1M tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Sep 2026 | Sep 2026 |
| At 10M a month | $20.00 | $20.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.
Both are developed by OpenAI but target different use cases. GPT-6 Sol Pro has a 1.1M token context window vs GPT-6.1 Sol's 1.1M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-6 Sol Pro and GPT-6.1 Sol each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
GPT-6 Sol Pro costs $2/M input tokens and GPT-6.1 Sol costs $2/M input tokens. GPT-6.1 Sol is $0.00/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of GPT-6 Sol Pro and GPT-6.1 Sol across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.