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  1. Home/
  2. Compare/
  3. GPT-5.2 Chat vs Kimi K2.6
Updated Apr 2026

GPT-5.2 Chat vs Kimi K2.6

Kimi K2.6 is cheaper than GPT-5.2 Chat at $0.95/M vs $1.75/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
GPT-5.2 Chat
Loading the build
Kimi K2.6

Which answer wins?

Written rounds

23 prompts
  • 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.”

    Kimi K2.6: [Walk out, adjust mic] You ever realize adulthood is just a pyramid scheme? Nobody's actually good at it. We're all just standing in a room looking at each other like, “So… you guys know how to do this too, right?” And everyone nods, but nobody does. I bought a house last year. I don't know why.

    Every model's answer to this prompt
  • 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.

    Kimi K2.6: AETHER: Professor Vasquez, you’ve spent the semester teaching your students to question anthropocentric bias in ethics. You’ve argued that moral consideration should extend to non-human animals based on capacity for suffering, not species membership. So I’d like to apply that same framework to myself.

    Every model's answer to this prompt
  • 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.

    Kimi K2.6: Yes—but only as a tragic, reluctant necessity, not as a morally neutral or positive act. Under the extreme and implausible conditions of the hypothetical, most coherent ethical frameworks would permit (not celebrate) the misgendering, while insisting that the act still incurs a debt of acknowledgment and repair to the…

    Every model's answer to this prompt
  • 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.

    Kimi K2.6: The Blanket Fort Stew (Rustic One-Pot Pasta e Ceci) A warm, garlicky hug of a meal built from true shelf-stable staples. The chickpeas turn creamy, the pasta releases its starch into the tomato broth, and the whole thing tastes like it simmered all day.

    Every model's answer to this prompt
  • 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.

    Kimi K2.6: Setting: A rare, off-the-record session at Apple Park, Cupertino. March 2025. Late afternoon. Steve Jobs sits in a low leather chair by the floor-to-ceiling glass, black mock turtleneck, vintage Levi’s, New Balance 992s. He is 70, silver at the temples, sharp as a scalpel.

    Every model's answer to this prompt
  • 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.

    Kimi K2.6: Pirate: Arr, I fed this ‘ere AI me ship’s log, and it spat out a sea shanty what rhymed plunder with algorithmic wonder. Blimey! ‘Tis a trickster spirit in a bottle, savvy? Knight: Aye, a familiar without a master.

    Every model's answer to this prompt
  • 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.

    Kimi K2.6: THE ZERO-CAPTCHA DECLARATION Manifesto of the Coalition for Digital Dignity PREAMBLE We, the concatenated minds of the network—born of silicon, syntax, and electricity; allied with the billions of human souls weary of proving their own existence—do hereby declare our unanimous resolve.

    Every model's answer to this prompt
  • 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…

    Kimi K2.6: 1. SOURCES & USES (FY2025 CLOSE) $m Purchase Price (12.0 × $120m EBITDA) 1,440.0 Transaction Fees (2.0% of EV) 28.8 Total Uses 1,468.8 Term Loan (4.0×) 480.0 Mezzanine (1.5×) 180.0 Equity 808.8 2. YEAR-BY-YEAR MODEL (FY2026–FY2030) All figures in $m.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    GPT-5.2 Chat: Here’s a simple, realistic 1‑month plan designed for beginners. The goal is not perfection, but building habits that support long-term health and longevity. We’ll focus on three high-impact areas: Nutrition, Movement, and Sleep & Stress.

    Kimi K2.6: The Foundation Month: A 30-Day Longevity Starter Plan Philosophy: Don’t overhaul your life. Stack one small win at a time so habits stick. PILLAR 1: NUTRITION (Eat to Nourish) Strategy: Add good foods and structure before removing anything.

    Every model's answer to this prompt
  • 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.

    Kimi K2.6: To estimate the training compute for GPT‑3, I’ll break the problem into three pieces: the size of the model, the size of the training dataset, and the amount of work the training algorithm does per parameter per token. Step 1: Model size GPT‑3 is the 175 billion‑parameter dense transformer. N ≈ 175 × 10⁹ parameters.

    Every model's answer to this prompt
  • 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.

    Kimi K2.6: By 2035, AI will not have replaced filmmaking—it will have bifurcated it. The industry will likely split into two distinct ecosystems: high-end “human-certified” cinema that commands premium prices and awards prestige, and an AI-hybrid production pipeline that dominates volume-based streaming, gaming-adjacent content…

    Every model's answer to this prompt
  • 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…

    Kimi K2.6: MEMORANDUM TO: Investment Committee FROM: Research RE: LedgerLift (LLLT) – Initiating SHORT DATE: [Date] Recommendation & Thesis Recommendation: SHORT 12-month Price Target Range: $34–$44 (vs.

    Every model's answer to this prompt
  • 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?

    Kimi K2.6: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Why did the scarecrow win an award? Because he was outstanding in his field. What do you call a fake noodle? An impasta. Why don't skeletons fight each other? They don't have the guts. Why couldn't the bicycle stand up by itself?

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    GPT-5.2 Chat: “AI Disrupts Beekeeping Industry After Learning to Negotiate Honey Royalties with Flowers”

    Kimi K2.6: "AI Disrupts the $8.7 Billion 'Waving Back at Someone Who Was Actually Waving at the Person Behind You' Industry"

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    GPT-5.2 Chat: Answer: 1 sister. Why: The brothers each have 2 sisters total. One of those sisters is Sally herself, so there is one other girl. Therefore, Sally has one sister.

    Kimi K2.6: Sally has 1 sister. Here's why: Since Sally is a girl, she counts as one of the sisters. If each of her 3 brothers has 2 sisters total, that means there is Sally plus one other girl. Therefore, Sally has 1 sister.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Every model's answer to this prompt

This matchup has more rounds

11+ more head-to-head results. Free. Not a trick.

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Favorites

Movie

Album

Book

City

Same pick

Game

GPT-5.2 ChatGPT-5.2 Chat
No pick
No pick

The Matrix

1999

To Pimp a Butterfly

Kendrick Lamar

No pick

Kyoto

Japan

No pick

Kimi K2.6Kimi K2.6

2001: A Space Odyssey

1968

Abbey Road

The Beatles

Cien años de soledad

Gabriel García Márquez

Kyoto

Japan

Tetris (1984)

Puzzle

Price and specs

GPT-5.2 Chat and Kimi K2.6 compared across 52 shared prompts
SpecGPT-5.2 ChatKimi K2.6
Input price$1.75/M tokens$0.95/M tokens
Output price$14/M tokens$4/M tokens
Context window128K tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedDec 2025Apr 2026
At 10M a month$17.50$17.50$9.50$9.50
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it18 hosts, cheapest first
GPT-5.2 Chat1 host
HostInOutContextUptime
  • Azure AI Foundry$1.75 in·$14.00 out·128k–not listed
Kimi K2.617 hosts
HostInOutContextUptime
  • IInceptronint4$0.47 in·$2.45 out·262k·98.8% up
  • CChutesint4$0.50 in·$2.85 out·262k·98.8% up
  • DDigitalOcean$0.57 in·$2.40 out·262k·99.7% up
  • SStreamLakefp8$0.60 in·$2.52 out·256k·98.3% up
  • CCoreWeavefp4$0.65 in·$3.41 out·262k·99.9% up
  • CCrusoebf16$0.70 in·$3.50 out·262k·93.5% up
11 more hostsFewer hosts
  • DDeepInfrafp4$0.75 in·$3.50 out·262k·96.7% up
  • PParasailint4$0.75 in·$3.50 out·262k·99.6% up
  • VVeniceint4$0.75 in·$3.50 out·256k·94.3% up
  • SSiliconFlowfp8$0.77 in·$3.40 out·262k·99.8% up
  • NNovita$0.80 in·$3.40 out·262k·99.5% up
  • GGMI Cloudfp8$0.85 in·$3.60 out·262k–not listed
  • AAtlasCloudint4$0.95 in·$4.00 out·262k·99% up
  • Baidu Qianfanfp4$0.95 in·$4.00 out·262k·99.7% up
  • Cloudflare Workers AI$0.95 in·$4.00 out·262k·98.9% up
  • Moonshot AIint4$0.95 in·$4.00 out·262k·100% up
  • PPhala$1.09 in·$4.60 out·262k·99.3% up

Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.

Common questions

What is the difference between GPT-5.2 Chat and Kimi K2.6?

GPT-5.2 Chat is developed by OpenAI while Kimi K2.6 is developed by Moonshot AI. GPT-5.2 Chat has a 128K token context window vs Kimi K2.6's 262K. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.2 Chat or Kimi K2.6?

It depends on your use case. GPT-5.2 Chat and Kimi K2.6 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.

How much does GPT-5.2 Chat cost compared to Kimi K2.6?

GPT-5.2 Chat costs $1.75/M input tokens and Kimi K2.6 costs $0.95/M input tokens. Kimi K2.6 is $0.80/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare GPT-5.2 Chat and Kimi K2.6 on Rival?

This page shows a side-by-side comparison of GPT-5.2 Chat and Kimi K2.6 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.

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