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  5. DeepSeek V3.2vsGPT-5.2
Updated Dec 2025

DeepSeek V3.2vsGPT-5.2

DeepSeek V3.2 is cheaper than GPT-5.2 at $0.28/M vs $1.75/M input tokens.

DeepSeek V3.2 and GPT-5.2 compared across 53 shared prompts
SpecDeepSeek V3.2GPT-5.2
Input price$0.28/M tokens$1.75/M tokens
Output price$0.42/M tokens$14/M tokens
Context window131K tokens400K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedDec 2025Dec 2025
SWE-bench Verified73.1%80.0%
Our Verdict
GPT-5.2
GPT-5.2
DeepSeek V3.2
DeepSeek V3.2Runner-up

Not enough votes to call it. On the specs, GPT-5.2 has the edge: bigger model tier, bigger context window.

GPT-5.2 takes Image Generation. DeepSeek V3.2 costs 33x 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
6.2× cheaper
Output
$0.42
33× cheaper
GPT-5.2
Input
$1.75
Output
$14.00

DeepSeek V3.2 is cheaper on both: 6.2× input, 33× 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-5.22 hosts
HostInOutContextUptime
OpenAI$0.88 in·$7.00 out·400k·100% upAzure AI Foundry$1.75 in·$14.00 out·400k·99.9% up

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

Writing DNA

Style Comparison

Similarity
48%

GPT-5.2 uses 5.8x more emoji

DeepSeek V3.2
GPT-5.2
54%Vocabulary64%
29wSentence Length16w
0.58Hedging0.34
5.9Bold9.4
4.8Lists3.9
0.00Emoji0.06
0.74Headings0.89
0.12Transitions0.31
Based on 28 + 15 text responses
Research

What we learned reading every model

FAQ

Common questions

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