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  5. DeepSeek V3.2vsGPT-4.1 Mini
Updated Dec 2025

DeepSeek V3.2vsGPT-4.1 Mini

DeepSeek V3.2 is cheaper than GPT-4.1 Mini at $0.28/M vs $0.4/M input tokens.

DeepSeek V3.2 and GPT-4.1 Mini compared across 54 shared prompts
SpecDeepSeek V3.2GPT-4.1 Mini
Input price$0.28/M tokens$0.4/M tokens
Output price$0.42/M tokens$1.6/M tokens
Context window131K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedDec 2025Apr 2025
Our Verdict
DeepSeek V3.2
DeepSeek V3.2
GPT-4.1 Mini
GPT-4.1 MiniRunner-up

Not enough votes to call it. On the specs, DeepSeek V3.2 has the edge: bigger model tier, newer.

DeepSeek V3.2 costs 3.8x 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
1.4× cheaper
Output
$0.42
3.8× cheaper
GPT-4.1 Mini
Input
$0.40
Output
$1.60

DeepSeek V3.2 is cheaper on both: 1.4× input, 3.8× output.

Where to run it

17 hosts, cheapest first

DeepSeek V3.215 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.21 in·$0.31 out·164k·99.9% upSStreamLakefp8$0.21 in·$0.32 out·128k·99.6% upDDigitalOcean$0.25 in·$0.80 out·164k·97.8% upSSiliconFlowfp8$0.26 in·$0.42 out·164k·98.2% upAAtlasCloudfp8$0.26 in·$0.38 out·164k·99.8% upDDeepInfrafp4$0.26 in·$0.38 out·164k·99.5% up
9 more hostsFewer hosts
NNovitafp8$0.27 in·$0.40 out·164k·100% upBaidu Qianfanfp8$0.28 in·$0.42 out·131k·100% upVVenice$0.33 in·$0.48 out·160k·98.7% upAlibaba Cloudfp8$0.37 in·$1.11 out·131k·99.4% upFFriendli$0.50 in·$1.50 out·164k·100% upGoogle Vertex AI$0.56 in·$1.68 out·164k·99.8% upPPhala$1.00 in·$1.00 out·164k·99.1% upMMara$3.00 in·$4.50 out·33k·75% upSSambaNova$3.00 in·$4.50 out·33k·89% up
GPT-4.1 Mini2 hosts
HostInOutContextUptime
Azure AI Foundry$0.40 in·$1.60 out·1M·99.9% upOpenAI$0.40 in·$1.60 out·1M·99.7% up

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

Writing DNA

Style Comparison

Similarity
42%

GPT-4.1 Mini uses 65.5x more emoji

DeepSeek V3.2
GPT-4.1 Mini
54%Vocabulary62%
29wSentence Length18w
0.58Hedging0.40
5.9Bold4.1
4.8Lists4.3
0.00Emoji0.66
0.74Headings0.68
0.12Transitions0.14
Based on 28 + 27 text responses
Research

What we learned reading every model

FAQ

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