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  5. DeepSeek V4 ProvsMiniMax M2-her
Updated Apr 2026

DeepSeek V4 ProvsMiniMax M2-her

MiniMax M2-her is cheaper than DeepSeek V4 Pro at $0.3/M vs $1.74/M input tokens.

DeepSeek V4 Pro and MiniMax M2-her compared across 54 shared prompts
SpecDeepSeek V4 ProMiniMax M2-her
Input price$1.74/M tokens$0.3/M tokens
Output price$3.48/M tokens$1.2/M tokens
Context window1.0M tokens66K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedApr 2026Jan 2026
Our Verdict
DeepSeek V4 Pro
DeepSeek V4 Pro
MiniMax M2-her
MiniMax M2-herRunner-up

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

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V4 Pro
Input
$1.74
Output
$3.48
MiniMax M2-her
Input
$0.30
5.8× cheaper
Output
$1.20
2.9× cheaper

MiniMax M2-her is cheaper on both: 5.8× input, 2.9× output.

Where to run it

16 hosts, cheapest first

DeepSeek V4 Pro15 hosts
HostInOutContextUptime
DDigitalOcean$0.87 in·$1.74 out·1M·97% upBaidu Qianfanfp8$0.96 in·$1.91 out·1M·99.7% upGGMI Cloudfp8$0.96 in·$1.91 out·1M·99.6% upDDeepInfrafp8$1.30 in·$2.60 out·1M·99.2% upAlibaba Cloudfp8$1.42 in·$2.83 out·1M·100% upSSiliconFlowfp8$1.50 in·$3.13 out·1M·97.9% up
9 more hostsFewer hosts
NNovitafp8$1.60 in·$3.20 out·1M·100% upAAtlasCloudfp4$1.68 in·$3.38 out·1M·99.1% upBBasetenfp4$1.74 in·$3.48 out·1M·98.1% upPParasailfp8$1.74 in·$3.48 out·1M·99% upAzure AI Foundry$1.91 in·$3.83 out·1M·98.3% upNNextBitfp8$2.00 in·$4.00 out·1M·99.8% upSStreamLakefp8degraded$0.95 in·$1.90 out·1M·96.7% upFFireworksdegraded$1.20 in·$1.20 out·1M·0% upVVenicedegraded$1.65 in·$3.30 out·1M·96.2% up
MiniMax M2-her1 host
HostInOutContextUptime
MiniMax$0.30 in·$1.20 out·66k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 11 Sep 2026.

Writing DNA

Style Comparison

Similarity
54%

MiniMax M2-her uses 23.6x more emoji

DeepSeek V4 Pro
MiniMax M2-her
57%Vocabulary68%
18wSentence Length20w
0.52Hedging0.61
3.3Bold1.8
2.3Lists2.8
0.04Emoji0.83
0.45Headings0.49
0.15Transitions0.18
Based on 27 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

Keep exploring

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