DeepSeek V3.1vsKimi K2 Thinking
DeepSeek V3.1 is cheaper than Kimi K2 Thinking at $0.2/M vs $0.6/M input tokens.
| Spec | DeepSeek V3.1 | Kimi K2 Thinking |
|---|---|---|
| Input price | $0.2/M tokens | $0.6/M tokens |
| Output price | $0.8/M tokens | $2.5/M tokens |
| Context window | 164K tokens | 262K tokens |
| Released | Aug 2025 | Nov 2025 |
| LiveCodeBench | 56.4% | State-of-the-art |
Our Verdict
DeepSeek V3.1
Kimi K2 Thinking
Not enough votes to call it. On the specs, nothing separates them.
DeepSeek V3.1 costs 3.1x less per token.
Too close to call
API pricing
Cost per 1M tokens
DeepSeek V3.1
Input
$0.20
3.0× cheaper
Output
$0.80
3.1× cheaper
Kimi K2 Thinking
Input
$0.60
Output
$2.50
DeepSeek V3.1 is cheaper on both — 3.0× input, 3.1× output
Writing DNA
Style Comparison
Similarity
48%
DeepSeek V3.1 uses 2.4x more emoji
DeepSeek V3.1
Kimi K2 Thinking
53%Vocabulary57%
14wSentence Length26w
0.42Hedging0.36
4.0Bold5.8
3.6Lists6.0
0.02Emoji0.00
0.40Headings0.56
0.22Transitions0.06
Based on 23 + 14 text responses
Research
What we learned reading every model
FAQ
Common questions
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