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  5. DeepSeek V3.2vsMistral Large 2
Updated Dec 2025

DeepSeek V3.2vsMistral Large 2

DeepSeek V3.2 is cheaper than Mistral Large 2 at $0.28/M vs $8/M input tokens.

DeepSeek V3.2 and Mistral Large 2 compared across 23 shared prompts
SpecDeepSeek V3.2Mistral Large 2
Input price$0.28/M tokens$8/M tokens
Output price$0.42/M tokens$24/M tokens
Context window131K tokens128K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedDec 2025Jul 2024
Our Verdict
DeepSeek V3.2
DeepSeek V3.2
Mistral Large 2
Mistral Large 2Runner-up

Not enough votes to call it. On the specs, DeepSeek V3.2 has the edge: newer, major provider backing.

DeepSeek V3.2 costs 57x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V3.2
Input
$0.28
29× cheaper
Output
$0.42
57× cheaper
Mistral Large 2
Input
$8.00
Output
$24.00

DeepSeek V3.2 is cheaper on both: 29× input, 57× output.

Where to run it

16 hosts, cheapest first

DeepSeek V3.215 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.21 in·$0.31 out·164k·100% upSStreamLakefp8$0.21 in·$0.32 out·128k·99.5% upDDigitalOcean$0.25 in·$0.80 out·164k·96.9% upSSiliconFlowfp8$0.26 in·$0.42 out·164k·99% upAAtlasCloudfp8$0.26 in·$0.38 out·164k·99.9% upDDeepInfrafp4$0.26 in·$0.38 out·164k·99.6% up
9 more hostsFewer hosts
VVenice$0.27 in·$0.39 out·160k·99.2% upNNovitafp8$0.27 in·$0.40 out·164k·100% upBaidu Qianfanfp8$0.28 in·$0.42 out·131k·100% upAlibaba Cloudfp8$0.37 in·$1.11 out·131k·99.5% upFFriendli$0.50 in·$1.50 out·164k·100% upGoogle Vertex AI$0.56 in·$1.68 out·164k·99.7% upPPhala$1.00 in·$1.00 out·164k·99.6% upMMara$3.00 in·$4.50 out·33k·83% upSSambaNova$3.00 in·$4.50 out·33k·91.3% up
Mistral Large 21 host
HostInOutContextUptime
Mistral$2.00 in·$6.00 out·131k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Sep 2026.

Writing DNA

Style Comparison

Similarity
73%

Mistral Large 2 uses 79.6x more emoji

DeepSeek V3.2
Mistral Large 2
54%Vocabulary43%
29wSentence Length21w
0.58Hedging0.39
5.9Bold14.4
4.8Lists7.4
0.00Emoji0.80
0.74Headings1.41
0.12Transitions0.01
Based on 28 + 10 text responses
Research

What we learned reading every model

FAQ

Common questions

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