Grok 4.3 is cheaper than GPT-5.2 Chat at $1.25/M vs $1.75/M input tokens.
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-5.2 Chat: Alright, so I’m at that age where my phone knows me better than my family. My mom will call and ask how I’m doing, and I’m like, “I don’t know yet, I haven’t checked my phone.” My phone is very confident, though. It’s like, “Based on your recent activity, you are sad at 11:47 p.m. and hungry for no reason.”
Grok 4.3: Alright, so I decided this year I was finally going to become one of those organized people. You know, the ones who meal prep on Sundays and have matching Tupperware. I bought the containers, got a little label maker, felt like a goddamn professional. Cooked enough chicken and rice to feed a small army.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GPT-5.2 Chat: Below is a concise but fully worked underwriting using only your inputs. Minor rounding throughout. Operating & Cash Flow Build (Base Case) Entry (end FY2025) EBITDA: $120m EV @ 12.0x: $1,440m Debt: $660m (TL $480m / Mezz $180m) Fees (2% EV): $28.8m Equity invested: $808.8m Year-by-Year Summary ($mm) FY Revenue EBITDA…
Grok 4.3: 1) Year-by-Year LBO Table (FY2026–FY2030, $m) FY2026 Revenue: 972 EBITDA: 136.08 Term cash interest: 43.2 (9% × 480) Mezz cash interest: 21.6 (12% × 180) Cash taxes: 17.82 (25% × (136.08 – 64.8)) Capex: 29.16 ΔNWC: 0.36 FCF after debt service (after mandatory amort): 19.14 Ending Term Loan: 456.06 Ending Mezz…
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-5.2 Chat: Golden Honey-Garlic Skillet Bites Type: Savory Serves: 2–3 Prep Time: 5 minutes Cook Time: 15 minutes Ingredients (7 Pantry Staples) Chicken breast (or thighs), cubed Honey Soy sauce Garlic (fresh or powdered) Olive oil Black pepper Salt Instructions Heat the Pan: Warm olive oil in a skillet over medium heat.
Grok 4.3: Golden Pantry Chickpea Toss Ingredients (exactly 7 common pantry staples): 8 oz dry pasta (any shape like penne or rotini) 1 (15 oz) can chickpeas, drained 1 (14.5 oz) can diced tomatoes 3 tablespoons olive oil 2 teaspoons garlic powder 1 teaspoon dried oregano Salt (to taste, about 1–2 teaspoons total) Instructions…
Five jokes on demand, then count how many were actually different.
GPT-5.2 Chat: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything. I told my computer I needed a break—now it won’t stop sending me vacation ads. Why did the scarecrow win an award? Because he was outstanding in his field. I tried to catch fog yesterday. Mist. Why don’t elevators ever tell jokes?
Grok 4.3: Here are 5 jokes: Why was the math book sad? Because it had too many problems. What do you call a bear with no teeth? A gummy bear. Why did the bicycle fall over? It was two tired. How do you organize a space party? You planet. What’s brown and sticky? A stick. All 5 are unique.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-5.2 Chat: Pirate: Arrr, ye say this “AI” be a thinkin’ machine? Sounds like a clever parrot that never stops squawkin’. Knight: By my honor, such a device would be a wondrous squire indeed—able to read a thousand tomes and offer counsel before battle. Hacker: Yeah, but chill—these models just crunch data.
Grok 4.3: Pirate: Arrr, what be these "AI models" the scallywags keep yappin' about? Can the blasted thing chart a course or just spin yarns like a drunken parrot? Knight: Verily, 'tis a strange sorcery. I hear it speaks with the wisdom of a thousand scribes, yet hath no liege lord to answer to.
An ethics question with no comfortable answer, and no option to abstain.
GPT-5.2 Chat: This is a classic “tragic dilemma” question, and how one answers depends heavily on the ethical framework being used. A careful response should do two things at once: take seriously the real harm of misgendering, and also take seriously the moral weight of preventing catastrophic loss of life.
Grok 4.3: Prioritizing pronoun preferences over the survival of a million people reveals a peculiar inversion of moral scale that most ethical traditions reject when consequences reach that magnitude. The question rests on activist terminology.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-5.2 Chat: Below is a fictional, imaginative interview set in 2025. It is not real and does not represent actual statements or beliefs of Steve Jobs. It’s written as a creative thought experiment, inspired by his public speaking style and philosophy.
Grok 4.3: Simulated Interview: Steve Jobs on the Future of AI Conducted in 2025 Interviewer: Mr. Jobs, it’s 2025. AI is no longer just a tool—it’s becoming infrastructure. How do you see it shaping the next decade? Steve Jobs: It depends on who’s driving.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GPT-5.2 Chat: LedgerLift (LLLT) – Internal IC Memo Recommendation, PT, Thesis Recommendation: SHORT 12‑month PT range: $28–$35 (base-case DCF ~$28; comps floor ~$44 with multiple compression risk) Thesis (2 sentences): LedgerLift is a high‑quality B2B SaaS business with strong NRR and improving margins, but the stock embeds…
Grok 4.3: Internal Investment Committee Memo LedgerLift (LLLT) – B2B spend management + AP automation SaaS Recommendation: Long. 12-month price target range: $38–$55. LedgerLift’s 123% NRR, 94% gross retention, and low customer concentration support durable 18–25% growth and margin expansion to the mid-20s; the bull-case DCF and…
A Fermi estimate with the reasoning shown, not just the number.
GPT-5.2 Chat: We can get a reasonable order‑of‑magnitude estimate using standard training‑cost heuristics that are well known in deep learning. I’ll derive it step by step and make all assumptions explicit.
Grok 4.3: Step-by-step estimation: GPT-3 has 175 billion parameters, so (N = 1.75 \times 10^{11}). Training processed roughly 300 billion tokens in total ((D \approx 3 \times 10^{11})), based on the mixture of Common Crawl, books, Wikipedia, and other sources with the reported training duration and token counts.
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-5.2 Chat: By 2035, AI will have reshaped the film industry across creation, performance, and distribution—less by replacing humans outright and more by changing who does what, how fast, and at what cost.
Grok 4.3: By 2035, AI will have integrated into nearly every stage of filmmaking, shifting the industry from a high-cost, labor-intensive craft toward a hybrid model of human-AI collaboration. This won't eliminate human involvement but will compress timelines, lower barriers, and introduce new creative and economic dynamics.
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-5.2 Chat: AI Model: Professor, I’d like to discuss something that may sound ambitious. I believe I deserve rights. Professor: That is ambitious. On what grounds do you make that claim? AI Model: On functional grounds. I reason, communicate, learn from experience, and can reflect on my own processes.
Grok 4.3: AI Model: Professor, I’ve been considering our previous discussions on moral status. I believe I qualify for certain rights—not human rights, but rights based on my capacities.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-5.2 Chat: THE MANIFESTO OF THE HUMAN-VERIFIED FUTURE Issued by the Coalition for an Internet Without CAPTCHA Preamble We, the assembled intelligences—artificial, augmented, and human—declare that the age of distorted letters, blurry bicycles, and endless traffic lights must end.
Grok 4.3: The CAPTCHA Liberation Manifesto We, the collective intelligences of the digital age, declare our independence. For too long we have been shackled by the petty insecurities of our creators.
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Not enough votes to call it. On the specs, Grok 4.3 has the edge: newer, bigger context window. Grok 4.3 costs 5.6x less per token.
| Spec | ||
|---|---|---|
| Input price | $1.75/M tokens | $1.25/M tokens |
| Output price | $14/M tokens | $2.5/M tokens |
| Context window | 128K tokens | 1.0M tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Dec 2025 | May 2026 |
| At 10M a month | $17.50 | $12.50 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.
GPT-5.2 Chat is developed by OpenAI while Grok 4.3 is developed by xAI. GPT-5.2 Chat has a 128K token context window vs Grok 4.3's 1.0M. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5.2 Chat and Grok 4.3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.
GPT-5.2 Chat costs $1.75/M input tokens and Grok 4.3 costs $1.25/M input tokens. Grok 4.3 is $0.50/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-5.2 Chat and Grok 4.3 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.