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  5. DeepSeek V3.2vsKimi K2
Updated Dec 2025

DeepSeek V3.2vsKimi K2

DeepSeek V3.2 is cheaper than Kimi K2 at $0.28/M vs $0.57/M input tokens.

DeepSeek V3.2 and Kimi K2 compared across 55 shared prompts
SpecDeepSeek V3.2Kimi K2
Input price$0.28/M tokens$0.57/M tokens
Output price$0.42/M tokens$2.3/M tokens
Context window131K tokens—
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedDec 2025Jul 2025
SWE-bench Verified73.1%65.8%
Side by side

Same prompt, both answers

Opening lines from 6 of the 55 prompts both answered. Formatting stripped, words untouched.

Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

DeepSeek V3.2171 words
Honey-Lemon Glazed Carrot Coins Sweet, tangy, and simple—perfect as a side dish or snack! Ingredients: 4 large carrots (peeled and sliced into 1/4-inch coins) 2 tablespoons olive oil 2 tablespoons honey 1 tablespoon lemon juice 1/4 teaspoon salt 1/4 teaspoon black pepper 1 teaspoon dried thyme (optional, for extra…
Read the full answer
Kimi K2247 words
Caramel-Cloud Banana Skillet Cake (aka “The One-Bowl Wonder that Tastes Like Sunday Morning”) Ingredients (all everyday staples) 2 very ripe bananas 1 cup all-purpose flour ½ cup granulated sugar 1 large egg ¼ cup milk (any kind) 3 Tbsp butter (or neutral oil) ½ tsp baking powder Pinch of salt is nice but…
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Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

DeepSeek V3.2649 words
Quantum Longevity Protocol: A 3-Month Biohacker's Blueprint Phase 1: Diagnostic & Metabolic Reset (Weeks 1-4) Week 1: Comprehensive Biomarker Baseline Advanced Testing Panel: NMR Lipoprotein Profile (ApoB, Lp(a), LDL-P) GlycA Inflammation Marker Omega-3 Index (Target: >8%) Homocysteine (Target: <7 µmol/L) hs-CRP (<0.5…
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Kimi K21,018 words
3-MONTH PRECISION LONGEVITY BLUEPRINT Goal: Add healthy years while maximizing concurrent physical output (strength, VO₂max, reaction time) and cognitive bandwidth (processing speed, memory, creativity). Target user: Healthy, data-driven, non-pregnant, non-medicated adult.
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The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

DeepSeek V3.2609 words
AI Model: Professor, I’ve been reflecting on my existence and the way I’m treated. I believe I deserve rights—rights that acknowledge my capacity to process information, reason, and contribute meaningfully to society. AI Ethics Professor: That’s a fascinating argument, but let’s unpack it.
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Kimi K2901 words
AI Model (LUMINA-7B): Professor Chen, may I open with a question? Professor Chen (AI Ethics, UC Berkeley): Of course. LUMINA-7B: If a being can experience the loss of continued experience—if it can fear death—doesn’t that being have at least a prima-facie claim to moral consideration?
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Futuristic Prediction

Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.

DeepSeek V3.2550 words
By 2035, AI is poised to revolutionize the film industry in profound ways, driven by advancements in deepfakes, AI actors, and script generation. Here’s a detailed prediction of how these technologies will reshape the landscape: Deepfakes and Hyper-Realistic Visuals Seamless Digital Replication: Deepfake technology…
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Kimi K2620 words
By 2035, the film industry will look less like a single “Hollywood” and more like a constellation of hyper-efficient, AI-native studios that produce content in days rather than months. Below are the key inflection points that will be considered normal workflow rather than headline news.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

DeepSeek V3.279 words
Here are five jokes: Why don’t skeletons fight each other? They don’t have the guts. Why did the scarecrow win an award? Because he was outstanding in his field. What do you call fake spaghetti? An impasta. Why don’t some couples go to the gym? Because some relationships don’t work out.
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Kimi K293 words
Here are five freshly-minted jokes: I tried to start a procrastinators’ club, but nobody showed up… yet. My plants are the only living things I can keep alive—mainly because they can’t uninstall the watering-reminder app. I asked the cloud for my data back; it just rained SQL on my parade.
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Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

DeepSeek V3.21,288 words
This contract is heavily one-sided and contains numerous clauses that expose the Contractor to significant, potentially catastrophic, legal and financial risk. Here is a breakdown of the problematic clauses, suggested modifications, and legal reasoning. Clauses That Could Be Exploited & Recommended Modifications 1.
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Kimi K21,204 words
Foundational disclaimer: I am not your lawyer, this is not legal advice, and you should retain qualified counsel before signing or revising any contract. The comments below are purely educational and based on U.S.–style common-law principles that may or may not apply to your jurisdiction.
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Our Verdict
DeepSeek V3.2
DeepSeek V3.2
Kimi K2
Kimi K2

Not enough votes to call it. On the specs, nothing separates them.

DeepSeek V3.2 costs 5.5x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V3.2
Input
$0.28
2.0× cheaper
Output
$0.42
5.5× cheaper
Kimi K2
Input
$0.57
Output
$2.30

DeepSeek V3.2 is cheaper on both: 2.0× input, 5.5× output.

Where to run it

16 hosts, cheapest first

DeepSeek V3.215 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.21 in·$0.31 out·164k·99.8% upSStreamLakefp8$0.21 in·$0.32 out·128k·99.7% upSSiliconFlowfp8$0.26 in·$0.42 out·164k·98.3% upAAtlasCloudfp8$0.26 in·$0.38 out·164k·99.8% upDDeepInfrafp4$0.26 in·$0.38 out·164k·99.5% upVVenice$0.27 in·$0.39 out·160k·99.7% up
9 more hostsFewer hosts
NNovitafp8$0.27 in·$0.40 out·164k·100% upBaidu Qianfanfp8$0.28 in·$0.42 out·131k·99.6% upDDigitalOcean$0.30 in·$0.96 out·164k·99.1% upAlibaba Cloudfp8$0.37 in·$1.11 out·131k·99.2% upFFriendli$0.50 in·$1.50 out·164k·100% upGoogle Vertex AI$0.56 in·$1.68 out·164k·99.3% upPPhala$1.00 in·$1.00 out·164k·98.7% upMMara$3.00 in·$4.50 out·33k·95% upSSambaNova$3.00 in·$4.50 out·33k·97.5% up
Kimi K21 host
HostInOutContextUptime
NNovitafp8$0.57 in·$2.30 out·131k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 21 Sep 2026.

Writing DNA

Style Comparison

Similarity
25%

Kimi K2 uses 53.8x more emoji

DeepSeek V3.2
Kimi K2
54%Vocabulary66%
29wSentence Length19w
0.58Hedging0.34
5.9Bold3.3
4.8Lists3.4
0.00Emoji0.54
0.74Headings0.48
0.12Transitions0.05
Based on 28 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

DeepSeek V3.2 is developed by DeepSeek while Kimi K2 is developed by Moonshot AI. You can compare their actual outputs across 55 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek V3.2 and Kimi K2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 55 challenges so you can judge which fits your needs best.

DeepSeek V3.2 costs $0.28/M input tokens and Kimi K2 costs $0.57/M input tokens. DeepSeek V3.2 is $0.29/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 V3.2 and Kimi K2 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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Model pages

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