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  5. DeepSeek V4 ProvsGPT-5
Updated Apr 2026

DeepSeek V4 ProvsGPT-5

GPT-5 is cheaper than DeepSeek V4 Pro at $1.25/M vs $1.74/M input tokens.

DeepSeek V4 Pro and GPT-5 compared across 51 shared prompts
SpecDeepSeek V4 ProGPT-5
Input price$1.74/M tokens$1.25/M tokens
Output price$3.48/M tokens$10/M tokens
Context window1.0M tokens400K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedApr 2026Aug 2025
Our Verdict
DeepSeek V4 Pro
DeepSeek V4 Pro
GPT-5
GPT-5Runner-up

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

Too close to call
API pricing

Cost per 1M tokens

DeepSeek V4 Pro
Input
$1.74
Output
$3.48
2.9× cheaper
GPT-5
Input
$1.25
1.4× cheaper
Output
$10.00

GPT-5 wins input (1.4× cheaper)·DeepSeek V4 Pro wins output (2.9× cheaper)

Where to run it

17 hosts, cheapest first

DeepSeek V4 Pro15 hosts
HostInOutContextUptime
Baidu Qianfanfp8$0.87 in·$1.74 out·1M·99.9% upDDigitalOcean$0.87 in·$1.74 out·1M·99% upSStreamLakefp8$0.87 in·$1.74 out·1M·99.1% upGGMI Cloudfp8$0.96 in·$1.91 out·1M·97.9% upDDeepInfrafp8$1.30 in·$2.60 out·1M·99.2% upAlibaba Cloudfp8$1.42 in·$2.83 out·1M·99.9% up
9 more hostsFewer hosts
SSiliconFlowfp8$1.50 in·$3.13 out·1M·97% upNNovitafp8$1.60 in·$3.20 out·1M·100% upVVenice$1.65 in·$3.30 out·1M·96.5% upAAtlasCloudfp4$1.68 in·$3.38 out·1M·96.1% upBBasetenfp4$1.74 in·$3.48 out·1M·98.8% upNNextBitfp8$1.80 in·$3.55 out·1M·100% upAzure AI Foundry$1.91 in·$3.83 out·1M·98.9% upFFireworksdegraded$1.20 in·$1.20 out·1M·0% upPParasailfp8degraded$1.74 in·$3.48 out·1M·98.9% up
GPT-52 hosts
HostInOutContextUptime
Azure AI Foundry$1.25 in·$10.00 out·400k·99.9% upOpenAI$1.25 in·$10.00 out·400k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 9 Sep 2026.

Writing DNA

Style Comparison

Similarity
54%

DeepSeek V4 Pro uses 3.5x more emoji

DeepSeek V4 Pro
GPT-5
57%Vocabulary65%
18wSentence Length13w
0.52Hedging0.20
3.3Bold0.2
2.3Lists4.6
0.04Emoji0.00
0.45Headings0.16
0.15Transitions0.03
Based on 27 + 16 text responses
Research

What we learned reading every model

FAQ

Common questions

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