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  5. DeepSeek V3.2vsGPT-4
Updated Dec 2025

DeepSeek V3.2vsGPT-4

DeepSeek V3.2 is cheaper than GPT-4 at $0.28/M vs $30/M input tokens.

DeepSeek V3.2 and GPT-4 compared across 26 shared prompts
SpecDeepSeek V3.2GPT-4
Input price$0.28/M tokens$30/M tokens
Output price$0.42/M tokens$60/M tokens
Context window131K tokens8K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedDec 2025May 2023
Our Verdict
DeepSeek V3.2
DeepSeek V3.2
GPT-4
GPT-4

Not enough votes to call it. On the specs, nothing separates them.

DeepSeek V3.2 costs 143x 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
107× cheaper
Output
$0.42
143× cheaper
GPT-4
Input
$30.00
Output
$60.00

DeepSeek V3.2 is cheaper on both: 107× input, 143× output.

Where to run it

17 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·99.6% upSSiliconFlowfp8$0.26 in·$0.42 out·164k·98.7% upAAtlasCloudfp8$0.26 in·$0.38 out·164k·99.7% upDDeepInfrafp4$0.26 in·$0.38 out·164k·99.6% upNNovitafp8$0.27 in·$0.40 out·164k·100% up
9 more hostsFewer hosts
Baidu Qianfanfp8$0.28 in·$0.42 out·131k·100% upVVenice$0.33 in·$0.48 out·160k·99.4% 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·99.8% upMMara$3.00 in·$4.50 out·33k·83.8% upSSambaNova$3.00 in·$4.50 out·33k·90.4% upDDigitalOceandegraded$0.25 in·$0.80 out·164k·98.2% upPPhaladegraded$1.00 in·$1.00 out·164k·99.6% up
GPT-42 hosts
HostInOutContextUptime
Azure AI Foundry$30.00 in·$60.00 out·8k·100% upOpenAI$30.00 in·$60.00 out·8k·100% up

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

Writing DNA

Style Comparison

Similarity
47%

DeepSeek V3.2 uses 74.4x more headings

DeepSeek V3.2
GPT-4
54%Vocabulary59%
29wSentence Length18w
0.58Hedging1.10
5.9Bold0.8
4.8Lists2.5
0.00Emoji0.00
0.74Headings0.00
0.12Transitions0.45
Based on 28 + 15 text responses
Research

What we learned reading every model

FAQ

Common questions

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