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  5. DeepSeek V4 ProvsMistral Devstral Medium
Updated Apr 2026

DeepSeek V4 ProvsMistral Devstral Medium

Mistral Devstral Medium is cheaper than DeepSeek V4 Pro at $0.4/M vs $1.74/M input tokens.

DeepSeek V4 Pro and Mistral Devstral Medium compared across 54 shared prompts
SpecDeepSeek V4 ProMistral Devstral Medium
Input price$1.74/M tokens$0.4/M tokens
Output price$3.48/M tokens$2/M tokens
Context window1.0M tokens—
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedApr 2026Jul 2025
Our Verdict
DeepSeek V4 Pro
DeepSeek V4 Pro
Mistral Devstral Medium
Mistral Devstral MediumRunner-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
API pricing

Cost per 1M tokens

DeepSeek V4 Pro
Input
$1.74
Output
$3.48
Mistral Devstral Medium
Input
$0.40
4.3× cheaper
Output
$2.00
1.7× cheaper

Mistral Devstral Medium is cheaper on both: 4.3× input, 1.7× output.

Where to run it

15 hosts, cheapest first

DeepSeek V4 Pro15 hosts
HostInOutContextUptime
Baidu Qianfanfp8$0.87 in·$1.74 out·1M·99.9% upDDigitalOcean$0.87 in·$1.74 out·1M·99% upSStreamLakefp8$0.87 in·$1.74 out·1M·99.1% upGGMI Cloudfp8$0.96 in·$1.91 out·1M·97.9% upDDeepInfrafp8$1.30 in·$2.60 out·1M·99.2% upAlibaba Cloudfp8$1.42 in·$2.83 out·1M·99.9% up
9 more hostsFewer hosts
SSiliconFlowfp8$1.50 in·$3.13 out·1M·97% upNNovitafp8$1.60 in·$3.20 out·1M·100% upVVenice$1.65 in·$3.30 out·1M·96.5% upAAtlasCloudfp4$1.68 in·$3.38 out·1M·96.1% upBBasetenfp4$1.74 in·$3.48 out·1M·98.8% upNNextBitfp8$1.80 in·$3.55 out·1M·100% upAzure AI Foundry$1.91 in·$3.83 out·1M·98.9% upFFireworksdegraded$1.20 in·$1.20 out·1M·0% upPParasailfp8degraded$1.74 in·$3.48 out·1M·98.9% up
Mistral Devstral Medium

No hosts listed on OpenRouter.

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

Writing DNA

Style Comparison

Similarity
56%

DeepSeek V4 Pro uses 3.5x more emoji

DeepSeek V4 Pro
Mistral Devstral Medium
57%Vocabulary50%
18wSentence Length18w
0.52Hedging0.50
3.3Bold4.1
2.3Lists4.8
0.04Emoji0.00
0.45Headings0.19
0.15Transitions0.29
Based on 27 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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