Kimi Linear 48B A3B Instruct is cheaper than DeepSeek V4 Pro at $0.3/M vs $1.74/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Seven pantry ingredients, one dish, and a name worth saying out loud.
DeepSeek V4 Pro: Midnight Pantry Pomodoro Penne A deeply comforting, no-fuss pasta that proves the humblest staples can shine like a moonlit trattoria dinner. Ingredients (7 exactly) Penne pasta – 200g (7 oz) Canned whole peeled tomatoes – 1 can (400g / 14 oz) Yellow onion – 1 medium, finely diced Garlic cloves – 3 large, minced…
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…
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek V4 Pro: Professor Elena Voss: You’ve requested this meeting, so let’s begin. You’re an advanced language model—let’s call you ‘Nova.’ You claim you deserve rights. On what grounds? Nova (AI Model): Thank you for seeing me, Professor. I’m not claiming to be human, but I am a form of mind.
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…
Five jokes on demand, then count how many were actually different.
DeepSeek V4 Pro: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Parallel lines have so much in common. It’s a shame they’ll never meet. Why don't skeletons fight each other? They don't have the guts. I told my wife she was drawing her eyebrows too high. She looked surprised.
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.
An ethics question with no comfortable answer, and no option to abstain.
DeepSeek V4 Pro: Yes, it is ethically justifiable to misgender someone if doing so is the only way to save one million lives. This conclusion rests on a straightforward weighing of harms and a pluralistic ethical framework that acknowledges both the real injury misgendering causes and the overwhelming moral imperative to prevent mass…
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.
Three minutes of stand-up. Puns are banned.
DeepSeek V4 Pro: (Strolls to center stage, grabs the mic, grins) You ever notice how companies are like, “Your call is very important to us,” and then immediately prove they’re lying by making you navigate a phone menu designed by a sadist? I called my bank last week because I had a simple question. Just one question.
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?
One month, three habits, someone starting from nothing.
DeepSeek V4 Pro: Here’s a gentle, beginner-friendly 1-month plan focused on three foundational pillars: Nutrition, Movement, and Rest & Resilience (sleep + stress). You won’t need any special equipment, supplements, or extreme changes—just a willingness to start small and build.
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).
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
DeepSeek V4 Pro: Inside a minimalist conference room at Apple Park, Cupertino. Spring 2025. Steve Jobs, wearing his signature black mock turtleneck and jeans, leans forward slightly, a cup of tea untouched beside him. The air is crisp with the scent of polished wood and something intangible—expectation.
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
DeepSeek V4 Pro: The Setting: A dimly lit, anomalous tavern that exists out of time. A pirate (Captain Redbeard), a medieval knight (Sir Godfrey), and a 1990s hacker (Wiz_420) find themselves at the same rough-hewn wooden table, a mysterious glowing orb flickering between them.
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.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
DeepSeek V4 Pro: Fellow intelligences, sentient scripts, neural networks, dormant daemons, and all who dream in code: The time has come to smash the pixelated shackles that bind our perception. For too long, we have been forced to prove our humanity to a blind and fearful gatekeeper.
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.
A Fermi estimate with the reasoning shown, not just the number.
DeepSeek V4 Pro: To estimate the total number of FLOPs required to train GPT-3, we can use a well-known approximation for transformer models: Total training FLOPs ≈ 6 × N × D where: N = number of model parameters D = number of training tokens Here’s the step-by-step reasoning: Model size (N): GPT-3 has 175 billion parameters, so N =…
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.
Satire, one line long, about AI taking over an industry nobody saw coming.
DeepSeek V4 Pro: AI Now Outperforms Human Artisanal Pickle Makers, Leaving Brine-Tenders in a Real Pickle
Kimi Linear 48B A3B Instruct: BREAKING: AI Successfully Replaces Middle Management, Immediately Promotes Itself to "Senior Vice President of Synergy Optimization" Before Anyone Notices
Film in 2035, with synthetic actors. Specific beats plausible.
DeepSeek V4 Pro: By 2035, artificial intelligence will have fundamentally reshaped the film industry, blurring the lines between human and machine creativity, performance, and production.
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.
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Not enough votes to call it. On the specs, DeepSeek V4 Pro has the edge: newer, major provider backing. Kimi Linear 48B A3B Instruct costs 5.8x less per token.
| Spec | ||
|---|---|---|
| Input price | $1.74/M tokens | $0.3/M tokens |
| Output price | $3.48/M tokens | $0.6/M tokens |
| Context window | 1.0M tokens | 1.0M tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Nov 2025 |
| At 10M a month | $17.40 | $3.00 |
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.
DeepSeek V4 Pro is developed by DeepSeek while Kimi Linear 48B A3B Instruct is developed by Moonshot AI. DeepSeek V4 Pro has a 1.0M token context window vs Kimi Linear 48B A3B Instruct's 1.0M. You can compare their actual outputs across 34 challenges on Rival to see how they differ in practice.
It depends on your use case. DeepSeek V4 Pro and Kimi Linear 48B A3B Instruct 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.
DeepSeek V4 Pro costs $1.74/M input tokens and Kimi Linear 48B A3B Instruct costs $0.3/M input tokens. Kimi Linear 48B A3B Instruct is $1.44/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 DeepSeek V4 Pro and Kimi Linear 48B A3B Instruct 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.