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  5. DeepSeek V4 ProvsGPT-5 Pro
Updated Apr 2026

DeepSeek V4 ProvsGPT-5 Pro

DeepSeek V4 Pro is cheaper than GPT-5 Pro at $1.74/M vs $15/M input tokens.

DeepSeek V4 Pro and GPT-5 Pro compared across 41 shared prompts
SpecDeepSeek V4 ProGPT-5 Pro
Input price$1.74/M tokens$15/M tokens
Output price$3.48/M tokens$120/M tokens
Context window1.0M tokens400K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedApr 2026Oct 2025
Our Verdict
DeepSeek V4 Pro
DeepSeek V4 Pro
GPT-5 Pro
GPT-5 ProRunner-up

Not enough votes to call it. On the specs, DeepSeek V4 Pro has the edge: newer, bigger context window.

DeepSeek V4 Pro costs 34x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V4 Pro
Input
$1.74
8.6× cheaper
Output
$3.48
34× cheaper
GPT-5 Pro
Input
$15.00
Output
$120.00

DeepSeek V4 Pro is cheaper on both: 8.6× input, 34× output.

Where to run it

15 hosts, cheapest first

DeepSeek V4 Pro14 hosts
HostInOutContextUptime
SStreamLakefp8$0.65 in·$1.29 out·1M·98.6% upBaidu Qianfanfp8$0.66 in·$1.31 out·1M·100% upDDigitalOcean$0.87 in·$1.74 out·1M·100% upGGMI Cloudfp8$0.96 in·$1.91 out·1M·99.7% upDDeepInfrafp8$1.30 in·$2.60 out·1M·99.5% upAlibaba Cloudfp8$1.42 in·$2.83 out·1M·100% up
8 more hostsFewer hosts
SSiliconFlowfp8$1.50 in·$3.13 out·1M·98.4% upNNovitafp8$1.60 in·$3.20 out·1M·100% upVVenice$1.65 in·$3.30 out·1M·98.4% upAAtlasCloudfp4$1.68 in·$3.38 out·1M·99.3% upBBasetenfp4$1.74 in·$3.48 out·1M·99.8% upPParasailfp8$1.74 in·$3.48 out·1M·99.8% upAzure AI Foundry$1.91 in·$3.83 out·1M·99.3% upNNextBitfp8$2.00 in·$4.00 out·1M·99.9% up
GPT-5 Pro1 host
HostInOutContextUptime
OpenAI$15.00 in·$120.00 out·400k·100% up

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

Writing DNA

Style Comparison

Similarity
66%

DeepSeek V4 Pro uses 328.4x more bold

DeepSeek V4 Pro
GPT-5 Pro
57%Vocabulary65%
18wSentence Length15w
0.52Hedging0.32
3.3Bold0.0
2.3Lists2.9
0.04Emoji0.00
0.45Headings0.00
0.15Transitions0.01
Based on 27 + 11 text responses
Research

What we learned reading every model

FAQ

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