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  5. DeepSeek V4 FlashvsMiMo-V2-Omni
Updated Apr 2026

DeepSeek V4 FlashvsMiMo-V2-Omni

DeepSeek V4 Flash is cheaper than MiMo-V2-Omni at $0.14/M vs $0.4/M input tokens.

DeepSeek V4 Flash and MiMo-V2-Omni compared across 53 shared prompts
SpecDeepSeek V4 FlashMiMo-V2-Omni
Input price$0.14/M tokens$0.4/M tokens
Output price$0.28/M tokens$2/M tokens
Context window1.0M tokens262K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedApr 2026Mar 2026
Our Verdict
DeepSeek V4 Flash
DeepSeek V4 Flash
MiMo-V2-Omni
MiMo-V2-OmniRunner-up

Not enough votes to call it. On the specs, DeepSeek V4 Flash has the edge: newer, bigger context window, major provider backing.

DeepSeek V4 Flash costs 7.1x less per token.

Too close to call
API pricing

Cost per 1M tokens

DeepSeek V4 Flash
Input
$0.14
2.9× cheaper
Output
$0.28
7.1× cheaper
MiMo-V2-Omni
Input
$0.40
Output
$2.00

DeepSeek V4 Flash is cheaper on both: 2.9× input, 7.1× output.

Where to run it

15 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
MiMo-V2-Omni

No hosts listed on OpenRouter.

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

Writing DNA

Style Comparison

Similarity
40%

MiMo-V2-Omni uses 25.7x more emoji

DeepSeek V4 Flash
MiMo-V2-Omni
54%Vocabulary59%
17wSentence Length23w
0.52Hedging0.72
3.6Bold7.2
2.6Lists3.6
0.00Emoji0.26
0.41Headings1.25
0.19Transitions0.10
Based on 27 + 23 text responses
Research

What we learned reading every model

FAQ

Common questions

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