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  5. DeepSeek V3.2vsMistral Large 3 2512
Updated Dec 2025

DeepSeek V3.2vsMistral Large 3 2512

DeepSeek V3.2 and Mistral Large 3 2512, compared on their real outputs to identical prompts.

DeepSeek V3.2 and Mistral Large 3 2512 compared across 55 shared prompts
SpecDeepSeek V3.2Mistral Large 3 2512
Input price$0.28/M tokens—
Output price$0.42/M tokens—
Context window131K tokens—
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedDec 2025Dec 2025
LiveCodeBench83.3%82.8%
Our Verdict
Mistral Large 3 2512
Mistral Large 3 2512
DeepSeek V3.2
DeepSeek V3.2Runner-up

Not enough votes to call it. On the specs, Mistral Large 3 2512 has the edge: bigger model tier.

Mistral Large 3 2512 wins Web Design and Image Generation.

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
Output
$0.42
Mistral Large 3 2512
Input
—
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 3 25121 host
HostInOutContextUptime
Mistral$0.50 in·$1.50 out·262k·99.9% up

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

Writing DNA

Style Comparison

Similarity
63%

Mistral Large 3 2512 uses 64.9x more emoji

DeepSeek V3.2
Mistral Large 3 2512
54%Vocabulary52%
29wSentence Length20w
0.58Hedging0.51
5.9Bold11.0
4.8Lists5.3
0.00Emoji0.65
0.74Headings1.06
0.12Transitions0.07
Based on 28 + 28 text responses
Research

What we learned reading every model

FAQ

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