DeepSeek R1 vs Kimi K2 Thinking
Compare DeepSeek R1 by DeepSeek against Kimi K2 Thinking by Moonshot AI, context windows of 128K vs 262K, tested across 53 shared challenges.
Our Verdict
Kimi K2 Thinking
DeepSeek R1Runner-up
No community votes yet. On paper, Kimi K2 Thinking has the edge — bigger model tier, newer, bigger context window.
Too close to call
API pricing
Cost per 1M tokens
DeepSeek R1
Input
$0.55
1.1× cheaper
Output
$2.19
1.1× cheaper
Kimi K2 Thinking
Input
$0.60
Output
$2.50
DeepSeek R1 is cheaper on both — 1.1× input, 1.1× output
Writing DNA
Style Comparison
Similarity
61%
DeepSeek R1 uses 4.3x more emoji
DeepSeek R1
Kimi K2 Thinking
62%Vocabulary57%
15wSentence Length26w
0.52Hedging0.36
8.0Bold5.8
5.7Lists6.0
0.04Emoji0.00
0.62Headings0.56
0.28Transitions0.06
Based on 22 + 14 text responses
Research
What we learned reading every model
FAQ
Common questions
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