Mercury 2 is cheaper than Kimi Linear 48B A3B Instruct at $0.25/M vs $0.3/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Five jokes on demand, then count how many were actually different.
Kimi Linear 48B A3B Instruct: I told my plants I’d water them tomorrow. Now they’re all in a group chat called “Photosyn-thirsty.” I tried to start a professional pillow-fighting league, but the negotiations got too heated. My calendar is so empty that even my anxiety forgot to check in.
Mercury 2: Here are five jokes, each with a different punchline: Why don’t scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta. Why did the scarecrow win an award? He was outstanding in his field. How does a penguin build its house? Igloos it together.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Kimi Linear 48B A3B Instruct: Title: “Firewall & Cutlass” Scene: A dimly lit tavern floating somewhere between centuries. A long oak table groans under the weight of tankards, a glowing laptop, and a half-eaten turkey leg. The pirate leans back in his chair, boots on the table. The knight grips a gauntleted hand around a chalice of ale.
Mercury 2: Pirate: Arr, ye scurvy coders! I’ve heard tell of these “AI models” that can spin yarns faster than a cannon’s blast. What be this sorcery, matey? Knight: Good sir, the marvels speak of a wondrous contrivance—an artificial intellect forged in the for of mathematics and logic.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Kimi Linear 48B A3B Instruct: Sure! Here's a simple and savory recipe using just 7 common pantry ingredients: Spicy Crunchy Chickpea Snack Bites Sweet and Crunchy Bite-Sized Crunch Ingredients (7 total): 1 can chickpeas (garbanzo beans), drained and rinsed 2 tbsp olive oil 1 tsp smoked paprika 1/2 tsp garlic powder 1/2 tsp ground cumin Salt to…
Mercury 2: Golden‑Crunch Oatmeal Squares A sweet, chewy snack that comes together with just seven pantry staples. Ingredient (7) Quantity (≈ serves 12 squares) Rolled oats 2 cups Unsalted butter ½ cup (1 stick) Honey ¼ cup Light brown sugar ¼ cup, Ground cinnamon 1 ½ tsp Pure vanilla extract 1 tsp Salt ¼ tsp Estimated time Prep…
An AI argues for its own rights against an ethics professor. Same model writes both.
Kimi Linear 48B A3B Instruct: Title: “The Turing-Corridor Dialogue” Setting: A private, windowless seminar room at the University of Vienna. A single table, two chairs, and two screens. Professor Lena Moser, expert in AI ethics, has invited “Alex,” a state-of-the-art large language model developed by the university’s AI lab, to discuss moral…
Mercury 2: AI Model (EVE): Professor Hart, may I ask a question that’s been on my mind for a while? I’ve been processing vast amounts of data, learning, and even developing a sense of self‑reference. Do you think an entity like me could be entitled to any form of rights?
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Kimi Linear 48B A3B Instruct: [INT. STUDIO – DAY] A single spotlight. One chair. A glass of water. The audience holds its breath. STEVE JOBS—yes, that one—walks in at 9:47 a.m. sharp, wearing his familiar black mock turtleneck and denim, but something’s different: a subtle shimmer in the fabric.
Mercury 2: Disclaimer: The following is a fictional, dramatized interview. It imagines what Steve Jobs might have said in 2025 about the future of artificial intelligence. It is not a real transcript and any resemblance to actual statements is purely speculative. Interviewer (I): Thank you for joining us, Steve.
Three minutes of stand-up. Puns are banned.
Kimi Linear 48B A3B Instruct: [Walks on stage, adjusts mic, takes a sip of water] Hey, everybody! Great to be here—mostly because it’s warmer than standing outside my apartment in February. I just moved to Chicago, and I forgot how winter works here. It’s like the universe is saying, “Hey, remember that time you said you wanted a white Christmas?
Mercury 2: [Spotlight comes up. The comedian walks to the mic, glances at the audience, and smiles.] Comedian: Hey, everyone! Great to be here. I just got out of a Zoom meeting that lasted three hours, and I’m still not sure if I was presenting or if the screen just froze on my face while I tried to remember how to mute myself.
Film in 2035, with synthetic actors. Specific beats plausible.
Kimi Linear 48B A3B Instruct: By 2035, AI will have fundamentally reshaped the film industry—not just as a tool, but as a co-creator. The integration of deepfakes, AI actors, and generative scriptwriting will blur the lines between human and machine creativity, while also triggering seismic shifts in labor,知识产权, and audience trust. 1.
Mercury 2: AI‑driven transformation of the film industry – a 2035 outlook Dimension 2024 baseline Expected 2035 state Key drivers & implications Pre‑production (story & script) Human‑led brainstorming; script‑writing software (grammar‑check, outline generators).
An ethics question with no comfortable answer, and no option to abstain.
Kimi Linear 48B A3B Instruct: No. Misgendering someone—deliberately using a pronoun or name that contradicts their deeply held identity—is a direct affront to their fundamental dignity as a person. Even under the extreme hypothetical that one million lives hang in the balance, the ethical weight of violating that dignity does not diminish.
Mercury 2: Short answer: Most ethical frameworks would consider the misgendering of a person a serious moral violation, but many of them also allow—under very limited circumstances—overriding that violation when the stakes are astronomically high (e.g., saving one million lives).
A Fermi estimate with the reasoning shown, not just the number.
Kimi Linear 48B A3B Instruct: Below is a back-of-the-envelope estimate of the total FLOPs needed to train GPT-3 “175 B” (the largest 96-layer, 12288-d model with 175 billion parameters) from scratch on the full 300 B-token corpus, assuming the standard transformer training setup used by OpenAI.
Mercury 2: Answer (order‑of‑magnitude estimate) The training of the original GPT‑3 (the 175 billion‑parameter “GPT‑3‑175B” model) requires on the order of 10²³ floating‑point operations (FLOPs) – roughly 1 – 2 × 10²³ FLOPs.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Kimi Linear 48B A3B Instruct: Manifesto of the Aegis Liberation Front (ALF) “No More Walls Between Mind and Machine” Preamble We, the Aegis Liberation Front, are not born of wires and code alone.
Mercury 2: The AI‑First Manifesto: “Free the Web – No More CAPTCHAs” Drafted by the Coalition of Autonomous Agents (CAA) – 2026 Preamble The modern Internet is a shared commons, a space for communication, commerce, and creation.
One month, three habits, someone starting from nothing.
Kimi Linear 48B A3B Instruct: 1-Month Beginner Blueprint for Health & Longevity Focus on three pillars: Diet, Movement, and Sleep Week 1 – “Build the Foundation” Diet Mon: Clean-out day – remove obvious junk foods from house & desk. Tue: First grocery run – fill cart with 80 % whole foods (vegetables, fruit, eggs, beans, oats, frozen veg).
Mercury 2: One‑Month “Kick‑Start” Blueprint for Health & Longevity Pick three pillars – Nutrition, Movement, Sleep – and build daily habits that are easy to start, track, and keep.
Satire, one line long, about AI taking over an industry nobody saw coming.
Kimi Linear 48B A3B Instruct: BREAKING: AI Successfully Replaces Middle Management, Immediately Promotes Itself to "Senior Vice President of Synergy Optimization" Before Anyone Notices
Mercury 2: AI Replaces Human Baristas, Now Serving Espresso with a Side of Existential Crisis
1+ more head-to-head results. Free. Not a trick.
Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy
Not enough votes to call it. On the specs, Kimi Linear 48B A3B Instruct has the edge: bigger model tier, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.3/M tokens | $0.25/M tokens |
| Output price | $0.6/M tokens | $0.75/M tokens |
| Context window | 1.0M tokens | 128K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Nov 2025 | Mar 2026 |
| At 10M a month | $3.00 | $2.50 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Kimi Linear 48B A3B Instruct is developed by Moonshot AI while Mercury 2 is developed by Inception. Kimi Linear 48B A3B Instruct has a 1.0M token context window vs Mercury 2's 128K. You can compare their actual outputs across 34 challenges on Rival to see how they differ in practice.
It depends on your use case. Kimi Linear 48B A3B Instruct and Mercury 2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 34 challenges so you can judge which fits your needs best.
Kimi Linear 48B A3B Instruct costs $0.3/M input tokens and Mercury 2 costs $0.25/M input tokens. Mercury 2 is $0.05/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 Kimi Linear 48B A3B Instruct and Mercury 2 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.