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  5. DeepSeek V4 FlashvsKimi K2 Thinking
Updated Apr 2026

DeepSeek V4 FlashvsKimi K2 Thinking

DeepSeek V4 Flash is cheaper than Kimi K2 Thinking at $0.14/M vs $0.6/M input tokens.

DeepSeek V4 Flash and Kimi K2 Thinking compared across 54 shared prompts
SpecDeepSeek V4 FlashKimi K2 Thinking
Input price$0.14/M tokens$0.6/M tokens
Output price$0.28/M tokens$2.5/M tokens
Context window1.0M tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Nov 2025
Our Verdict
DeepSeek V4 Flash
DeepSeek V4 Flash
Kimi K2 Thinking
Kimi K2 Thinking

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

DeepSeek V4 Flash costs 8.9x less per token.

Too close to call
API pricing

Cost per 1M tokens

DeepSeek V4 Flash
Input
$0.14
4.3× cheaper
Output
$0.28
8.9× cheaper
Kimi K2 Thinking
Input
$0.60
Output
$2.50

DeepSeek V4 Flash is cheaper on both: 4.3× input, 8.9× output.

Where to run it

17 hosts, cheapest first

DeepSeek V4 Flash15 hosts
HostInOutContextUptime
Baidu Qianfanfp8$0.07 in·$0.14 out·1M·98.7% upDDigitalOcean$0.07 in·$0.17 out·1M·99.7% upSStreamLakefp8$0.07 in·$0.14 out·1M·96.8% upDDeepInfrafp8$0.09 in·$0.18 out·1M·99.2% upGGMI Cloudfp8$0.09 in·$0.18 out·1M·99.1% upSSiliconFlowfp8$0.13 in·$0.28 out·1M·99.5% up
9 more hostsFewer hosts
Alibaba Cloudfp8$0.13 in·$0.27 out·1M·92.7% upVVenice$0.14 in·$0.28 out·1M·96.8% upAAtlasCloudfp4$0.14 in·$0.28 out·1M·99.6% upNNovitafp8$0.14 in·$0.28 out·1M·99.9% upPParasailfp8$0.14 in·$0.28 out·1M·99.7% upNNextBitfp8$0.15 in·$0.35 out·1M·99.9% upMMancerfp8$0.19 in·$0.50 out·1M·98% upPPhala$0.20 in·$0.40 out·1M·99.8% upAzure AI Foundry$0.21 in·$0.56 out·1M·93.5% 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·98.7% up

Per million tokens. Prices and uptime via OpenRouter, checked 9 Sep 2026.

Writing DNA

Style Comparison

Similarity
45%

DeepSeek V4 Flash uses 1.6x more hedging

DeepSeek V4 Flash
Kimi K2 Thinking
54%Vocabulary61%
17wSentence Length22w
0.52Hedging0.33
3.6Bold4.6
2.6Lists4.1
0.00Emoji0.00
0.41Headings0.40
0.19Transitions0.15
Based on 27 + 22 text responses
Research

What we learned reading every model

FAQ

Common questions

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