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  5. DeepSeek V3.2vsKimi K2 Thinking
Updated Dec 2025

DeepSeek V3.2vsKimi K2 Thinking

DeepSeek V3.2 is cheaper than Kimi K2 Thinking at $0.28/M vs $0.6/M input tokens.

DeepSeek V3.2 and Kimi K2 Thinking compared across 54 shared prompts
SpecDeepSeek V3.2Kimi K2 Thinking
Input price$0.28/M tokens$0.6/M tokens
Output price$0.42/M tokens$2.5/M tokens
Context window131K tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedDec 2025Nov 2025
LiveCodeBench83.3%State-of-the-art
Our Verdict
Kimi K2 Thinking
Kimi K2 Thinking
DeepSeek V3.2
DeepSeek V3.2Runner-up

Not enough votes to call it. On the specs, Kimi K2 Thinking has the edge: bigger model tier, bigger context window.

DeepSeek V3.2 costs 6.0x 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
2.1× cheaper
Output
$0.42
6.0× cheaper
Kimi K2 Thinking
Input
$0.60
Output
$2.50

DeepSeek V3.2 is cheaper on both: 2.1× input, 6.0× output.

Where to run it

17 hosts, cheapest first

DeepSeek V3.215 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.21 in·$0.31 out·164k·99.9% upSStreamLakefp8$0.21 in·$0.32 out·128k·99.6% upDDigitalOcean$0.25 in·$0.80 out·164k·97.8% upSSiliconFlowfp8$0.26 in·$0.42 out·164k·98.2% upAAtlasCloudfp8$0.26 in·$0.38 out·164k·99.8% upDDeepInfrafp4$0.26 in·$0.38 out·164k·99.5% up
9 more hostsFewer hosts
NNovitafp8$0.27 in·$0.40 out·164k·100% upBaidu Qianfanfp8$0.28 in·$0.42 out·131k·100% upVVenice$0.33 in·$0.48 out·160k·98.7% upAlibaba Cloudfp8$0.37 in·$1.11 out·131k·99.4% upFFriendli$0.50 in·$1.50 out·164k·100% upGoogle Vertex AI$0.56 in·$1.68 out·164k·99.8% upPPhala$1.00 in·$1.00 out·164k·99.1% upMMara$3.00 in·$4.50 out·33k·75% upSSambaNova$3.00 in·$4.50 out·33k·89% up
Kimi K2 Thinking2 hosts
HostInOutContextUptime
Google Vertex AI$0.60 in·$2.50 out·262k·100% upNNovitabf16$0.60 in·$2.50 out·262k·99.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 11 Sep 2026.

Writing DNA

Style Comparison

Similarity
64%

DeepSeek V3.2 uses 1.9x more headings

DeepSeek V3.2
Kimi K2 Thinking
54%Vocabulary61%
29wSentence Length22w
0.58Hedging0.33
5.9Bold4.6
4.8Lists4.1
0.00Emoji0.00
0.74Headings0.40
0.12Transitions0.15
Based on 28 + 22 text responses
Research

What we learned reading every model

FAQ

Common questions

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