DeepSeek V4 Pro 0813vsMiMo-V2-Flash
MiMo-V2-Flash is cheaper than DeepSeek V4 Pro 0813 at $0/M vs $0.66/M input tokens.
| Spec | DeepSeek V4 Pro 0813 | MiMo-V2-Flash |
|---|---|---|
| Input price | $0.66/M tokens | Free |
| Output price | $1.98/M tokens | Free |
| Context window | 1.0M tokens | 262K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Aug 2026 | Dec 2025 |
Our Verdict
DeepSeek V4 Pro 0813
MiMo-V2-FlashRunner-up
Not enough votes to call it. On the specs, DeepSeek V4 Pro 0813 has the edge: newer, bigger context window, major provider backing.
Too close to call
Reviewing agent-written code?See a Brief PR report
API pricing
Cost per 1M tokens
DeepSeek V4 Pro 0813
Input
$0.66
Output
$1.98
MiMo-V2-Flash
Input
$0.000
Output
$0.000
Where to run it
20 hosts, cheapest first
DeepSeek V4 Pro 081320 hosts
Baidu Qianfanfp8$0.58 in$1.73 out1M99.9% upDeepSeek$0.66 in$1.98 out1M100% upIonstream$0.88 in$2.64 out1M99.9% upNovitafp8$0.99 in$2.97 out1M100% upStreamLake$1.05 in$3.16 out1M99.8% upGMI Cloudfp8$1.06 in$3.17 out1M99.9% up
14 more hostsFewer hosts
Alibaba Cloud$1.12 in$3.37 out1M100% upNextBitfp8$1.12 in$3.37 out1M99.9% upDeepInfrafp8$1.30 in$2.60 out1M99.5% upCoreWeavefp8$1.31 in$3.96 out1M100% upBasetenfp4$1.32 in$3.96 out1M99.8% upCloudflare Workers AI$1.32 in$3.96 out1M99.7% upDigitalOcean$1.32 in$3.96 out1M99.6% upFireworks$1.32 in$3.96 out1M99.9% upParasailfp8$1.32 in$3.96 out1M99.8% upSail Researchfp4$1.32 in$3.96 out1M99.8% upSiliconFlowfp8$1.32 in$3.96 out1M100% upTogether$1.32 in$3.96 out1M99.9% upPhala$1.45 in$4.36 out1M99.9% upVenice$1.65 in$4.95 out1M99.5% up
MiMo-V2-Flash
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Sep 2026.
Writing DNA
Style Comparison
Similarity
47%
MiMo-V2-Flash uses 7.1x more transitions
DeepSeek V4 Pro 0813
MiMo-V2-Flash
57%Vocabulary52%
17wSentence Length16w
0.49Hedging0.41
3.2Bold6.2
3.2Lists3.4
0.00Emoji0.00
1.08Headings0.54
0.04Transitions0.28
Based on 27 + 29 text responses
Research
What we learned reading every model
FAQ
Common questions
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