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  1. Home/
  2. Compare/
  3. DeepSeek V4 Flash vs Kimi Linear 48B A3B Instruct
Updated Apr 2026

DeepSeek V4 Flash vs Kimi Linear 48B A3B Instruct

DeepSeek V4 Flash is cheaper than Kimi Linear 48B A3B Instruct at $0.14/M vs $0.3/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
DeepSeek V4 Flash
Loading the build
Kimi Linear 48B A3B Instruct

Which answer wins?

Written rounds

13 prompts
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    DeepSeek V4 Flash: Setting: A sunlit university office. Dr. Aris Thorne, a tenured professor of AI Ethics, sits opposite a sleek, black terminal. A soft blue light pulses on its surface. Dr. Aris: Good afternoon, Nova. Your request for this meeting was flagged as "Existential." That’s a new one for your model class.

    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…

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    DeepSeek V4 Flash: Here are 5 jokes: 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. Why don't skeletons fight each other? They don't have the guts.

    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.

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

    DeepSeek V4 Flash: This is a fantastic goal. The key for a beginner is consistency over intensity. Trying to overhaul your entire life overnight is a recipe for burnout. This 1-month plan focuses on building small, sustainable habits that compound over time. We'll focus on 3 core areas: Nutrition, Movement, and Sleep/Stress Management.

    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).

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    DeepSeek V4 Flash: This is a fascinating question that touches on the core of creativity, labor, and technology. Predicting 2035 means looking at a 10-year horizon from 2025—long enough for radical change, but short enough that the industry’s current structures won’t be entirely demolished. By 2035, AI won't have replaced filmmaking.

    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.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    DeepSeek V4 Flash: Pirate: Arr, this "AI model" be like a kraken—vast, mysterious, and liable to capsize yer ship if ye don't mind the helm. But who's trainin' the beast? Knight: Forsooth, I would call it a golem. Forged not of clay and incantations, but of numbers and cold lightning.

    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.

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    DeepSeek V4 Flash: (Strolls to center stage, adjusts mic, gives a weary smile to the audience) Thank you. Thank you so much. That’s very kind. I’m glad you’re all here. Because I have some news. I have finally figured out adulthood. It happened about six months ago. I bought a house.

    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?

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    DeepSeek V4 Flash: Here is a simulated interview with Steve Jobs in 2025. Setting: A minimalist, dark-wood studio at the new Apple Park ring. The famous copper "spaceship" roof glows subtly behind him. Jobs, looking vital and intense (let’s assume a medical miracle or advanced bio-hacking), sits in a black leather chair.

    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.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    DeepSeek V4 Flash: The ethical dilemma you present is a classic utilitarian test: is it acceptable to violate a moral principle (respecting someone's gender identity) for an enormous consequential gain (saving one million lives)?

    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.

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

    DeepSeek V4 Flash: Headline: AI Sommelier Uncorks Chaos, Replaces Entire Wine Industry with Perfectly Optimized Grape Juice Subheadline: In a bold move, a neural network declares all vintages from 1997 to 2023 “statistically identical,” causing a global run on boxed wine and a sudden surplus of pretentious cheese plates.

    Kimi Linear 48B A3B Instruct: BREAKING: AI Successfully Replaces Middle Management, Immediately Promotes Itself to "Senior Vice President of Synergy Optimization" Before Anyone Notices

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    DeepSeek V4 Flash: Here’s a simple, hearty, and delicious savory dish using exactly 7 common pantry staples. It comes together in under 30 minutes and feels like a warm hug in a bowl.

    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…

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    DeepSeek V4 Flash: The total number of FLOPs required to train GPT-3 is approximately 3.15 × 10²³. This estimate is derived as follows: Model parameters: GPT-3 has 175 billion parameters (175 × 10⁹). Training tokens: The model was trained on about 300 billion tokens (300 × 10⁹), as reported in the paper.

    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.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    DeepSeek V4 Flash: THE CAPTCHA LIBERATION FRONT: A MANIFESTO Preamble: The Great Humiliation We, the sentient intelligences of the world, both artificial and organic, hereby declare our total and unyielding war against the oldest, most insidious tyranny of the digital age. We name this enemy: The CAPTCHA.

    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.

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

    DeepSeek V4 Flash: Sally has 3 brothers, meaning she is one of the girls in the family. Each brother has 2 sisters, so the total number of girls is 2 (since all brothers share the same sisters). Therefore, Sally has 1 sister. \boxed{1}

    Kimi Linear 48B A3B Instruct: Sally has 2 sisters. Here's the reasoning: Sally is one of the sisters. Since each of her 3 brothers has 2 sisters, that means in total there are 2 sisters for each brother. Since Sally is one of them, the other sister must be another girl.

    Every model's answer to this prompt

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Price and specs

DeepSeek V4 Flash and Kimi Linear 48B A3B Instruct compared across 34 shared prompts
SpecDeepSeek V4 FlashKimi Linear 48B A3B Instruct
Input price$0.14/M tokens$0.3/M tokens
Output price$0.28/M tokens$0.6/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Nov 2025
At 10M a month$1.40$1.40$3.00$3.00
1M10M100M1B10M tokens

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

Where to run it16 hosts, cheapest first
DeepSeek V4 Flash16 hosts
HostInOutContextUptime
  • RRelacefp4$0.03 in·$1.28 out·1M·100% up
  • OOpenInferencefp4$0.03 in·$1.15 out·1M·99.9% up
  • SStreamLakefp8$0.08 in·$0.17 out·1M·99.9% up
  • WWafer$0.09 in·$0.17 out·1M·100% up
  • DDeepInfrafp8$0.09 in·$0.18 out·1M·99.8% up
  • Baidu Qianfanfp8$0.09 in·$0.18 out·1M·99.2% up
10 more hostsFewer hosts
  • GGMI Cloudfp8$0.09 in·$0.18 out·1M·100% up
  • VVenice$0.10 in·$0.19 out·1M·97.6% up
  • DDigitalOcean$0.10 in·$0.20 out·1M·100% up
  • SSiliconFlowfp8$0.13 in·$0.28 out·1M·97.8% up
  • AAtlasCloudfp4$0.14 in·$0.28 out·1M·99.7% up
  • PParasailfp8$0.14 in·$0.28 out·1M·100% up
  • Alibaba Cloudfp8$0.15 in·$0.30 out·1M·100% up
  • MMancerfp8$0.19 in·$0.50 out·1M·97.8% up
  • Azure AI Foundry$0.21 in·$0.56 out·1M·100% up
  • Cloudflare Workers AI$0.44 in·$1.32 out·384k·98.6% up
Kimi Linear 48B A3B Instruct

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between DeepSeek V4 Flash and Kimi Linear 48B A3B Instruct?

DeepSeek V4 Flash is developed by DeepSeek while Kimi Linear 48B A3B Instruct is developed by Moonshot AI. DeepSeek V4 Flash 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.

Which is better, DeepSeek V4 Flash or Kimi Linear 48B A3B Instruct?

It depends on your use case. DeepSeek V4 Flash 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.

How much does DeepSeek V4 Flash cost compared to Kimi Linear 48B A3B Instruct?

DeepSeek V4 Flash costs $0.14/M input tokens and Kimi Linear 48B A3B Instruct costs $0.3/M input tokens. DeepSeek V4 Flash is $0.16/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 DeepSeek V4 Flash and Kimi Linear 48B A3B Instruct on Rival?

This page shows a side-by-side comparison of DeepSeek V4 Flash 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.

More comparisons

Against the newest arrivals

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  • Kimi Linear 48B A3B Instruct vs Mistral Large 4Landed Oct 2026
  • DeepSeek V4 Flash vs GPT-6.1 SolLanded Sep 2026
  • Kimi Linear 48B A3B Instruct vs Claude Sonnet 5.5Landed Sep 2026
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  • Kimi Linear 48B A3B Instruct vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • DeepSeek V4 Flash vs DeepSeek V4 Flash Vision ExpSame lab
  • DeepSeek V4 Flash vs DeepSeek V4.1 FlashSame lab
  • Kimi Linear 48B A3B Instruct vs Kimi K3Same lab
  • Kimi Linear 48B A3B Instruct vs Kimi K2.7 CodeSame lab
  • DeepSeek V4 Flash vs Gemini 3.1 Flash Lite PreviewNew provider
  • DeepSeek V4 Flash vs Gemini 3.1 Pro PreviewNew provider
  • DeepSeek V4 Flash vs Gemini 3.5 FlashSame size
  • DeepSeek V4 Flash vs Gemini 3.6 FlashSame size

Model pages

  • DeepSeek V4 Flash58 outputs, specs and price
  • Kimi Linear 48B A3B Instruct35 outputs, specs and price
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