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  5. Claude 2vsKimi K2.7 Code
Updated Jun 2026

Claude 2vsKimi K2.7 Code

Kimi K2.7 Code is cheaper than Claude 2 at $0.95/M vs $11.02/M input tokens.

Claude 2 and Kimi K2.7 Code compared across 5 shared prompts
SpecClaude 2Kimi K2.7 Code
Input price$11.02/M tokens$0.95/M tokens
Output price$32.68/M tokens$4/M tokens
Context window100K tokens262K tokens
ParametersNot disclosed1T (32B active)
Weights—Open
Free API (OpenRouter)NoNo
ReleasedJun 2023Jun 2026
Our Verdict
Kimi K2.7 Code
Kimi K2.7 Code
Claude 2
Claude 2Runner-up

Not enough votes to call it. On the specs, Kimi K2.7 Code has the edge: bigger model tier, newer, bigger context window.

Kimi K2.7 Code costs 8.2x less per token.

Too close to call
API pricing

Cost per 1M tokens

Claude 2
Input
$11.02
Output
$32.68
Kimi K2.7 Code
Input
$0.95
12× cheaper
Output
$4.00
8.2× cheaper

Kimi K2.7 Code is cheaper on both: 12× input, 8.2× output.

Where to run it

14 hosts, cheapest first

Claude 2

No hosts listed on OpenRouter.

Kimi K2.7 Code14 hosts
HostInOutContextUptime
DDeepInfrafp4$0.68 in·$3.40 out·262k·100% upIInceptronint4$0.71 in·$3.21 out·262k·99.7% upCCoreWeaveint4$0.71 in·$3.50 out·262k·100% upSStreamLake$0.71 in·$3.00 out·256k·99.7% upVVeniceint4$0.75 in·$3.50 out·256k·92.9% upMModelRunfp4$0.85 in·$3.75 out·262k·99.3% up
8 more hostsFewer hosts
SSiliconFlowfp8$0.86 in·$3.80 out·262k·100% upNNovitaint4$0.91 in·$3.84 out·262k·100% upAlibaba Cloudfp8$0.95 in·$4.00 out·262k·99.9% upBBasetenfp4$0.95 in·$4.00 out·262k·99% upCloudflare Workers AI$0.95 in·$4.00 out·262k·99.9% upFFireworks$0.95 in·$4.00 out·262k·94.7% upGGMI Cloudfp8$0.95 in·$4.00 out·262k·99.8% upMoonshot AIint4$0.95 in·$4.00 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 8 Sep 2026.

Writing DNA

Style Comparison

Similarity
49%

Kimi K2.7 Code uses 51.4x more hedging

Claude 2
Kimi K2.7 Code
65%Vocabulary57%
13wSentence Length19w
0.00Hedging0.51
0.0Bold4.7
10.2Lists3.3
0.00Emoji0.00
0.00Headings0.76
0.00Transitions0.05
Based on 2 + 27 text responses
Research

What we learned reading every model

FAQ

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