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  5. DeepSeek V4 ProvsMistral Large 2
Updated Apr 2026

DeepSeek V4 ProvsMistral Large 2

DeepSeek V4 Pro is cheaper than Mistral Large 2 at $1.74/M vs $8/M input tokens.

DeepSeek V4 Pro and Mistral Large 2 compared across 23 shared prompts
SpecDeepSeek V4 ProMistral Large 2
Input price$1.74/M tokens$8/M tokens
Output price$3.48/M tokens$24/M tokens
Context window1.0M tokens128K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Jul 2024
Our Verdict
DeepSeek V4 Pro
DeepSeek V4 Pro
Mistral Large 2
Mistral Large 2Runner-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.

DeepSeek V4 Pro costs 6.9x less per token.

Slight edge
API pricing

Cost per 1M tokens

DeepSeek V4 Pro
Input
$1.74
4.6× cheaper
Output
$3.48
6.9× cheaper
Mistral Large 2
Input
$8.00
Output
$24.00

DeepSeek V4 Pro is cheaper on both: 4.6× input, 6.9× output.

Where to run it

16 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 Large 21 host
HostInOutContextUptime
Mistral$2.00 in·$6.00 out·131k·99.9% up

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

Writing DNA

Style Comparison

Similarity
27%

Mistral Large 2 uses 22.8x more emoji

DeepSeek V4 Pro
Mistral Large 2
57%Vocabulary43%
18wSentence Length21w
0.52Hedging0.39
3.3Bold14.4
2.3Lists7.4
0.04Emoji0.80
0.45Headings1.41
0.15Transitions0.01
Based on 27 + 10 text responses
Research

What we learned reading every model

FAQ

Common questions

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