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  5. Claude Sonnet 5vsDeepSeek V4 Pro
Updated Jun 2026

Claude Sonnet 5vsDeepSeek V4 Pro

DeepSeek V4 Pro is cheaper than Claude Sonnet 5 at $1.74/M vs $2/M input tokens.

Claude Sonnet 5 and DeepSeek V4 Pro compared across 54 shared prompts
SpecClaude Sonnet 5DeepSeek V4 Pro
Input price$2/M tokens$1.74/M tokens
Output price$10/M tokens$3.48/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedJun 2026Apr 2026
Our Verdict
Claude Sonnet 5
Claude Sonnet 5
DeepSeek V4 Pro
DeepSeek V4 Pro

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

Too close to call
API pricing

Cost per 1M tokens

Claude Sonnet 5
Input
$2.00
Output
$10.00
DeepSeek V4 Pro
Input
$1.74
1.1× cheaper
Output
$3.48
2.9× cheaper

DeepSeek V4 Pro is cheaper on both: 1.1× input, 2.9× output.

Where to run it

19 hosts, cheapest first

Claude Sonnet 54 hosts
HostInOutContextUptime
Amazon Bedrock$2.00 in·$10.00 out·1M·100% upAzure AI Foundry$2.00 in·$10.00 out·1M·100% upAnthropic$2.00 in·$10.00 out·1M·100% upGoogle Vertex AI$2.00 in·$10.00 out·1M·99.9% up
DeepSeek V4 Pro15 hosts
HostInOutContextUptime
DDigitalOcean$0.87 in·$1.74 out·1M·98.8% upSStreamLakefp8$0.95 in·$1.89 out·1M·98.9% upBaidu Qianfanfp8$0.95 in·$1.90 out·1M·99.3% upGGMI Cloudfp8$0.96 in·$1.91 out·1M·96.8% upDDeepInfrafp8$1.30 in·$2.60 out·1M·99.3% upAlibaba Cloudfp8$1.42 in·$2.83 out·1M·99.9% up
9 more hostsFewer hosts
SSiliconFlowfp8$1.50 in·$3.13 out·1M·98.3% upNNovitafp8$1.60 in·$3.20 out·1M·100% upVVenice$1.65 in·$3.30 out·1M·97.1% upAAtlasCloudfp4$1.68 in·$3.38 out·1M·97.4% upBBasetenfp4$1.74 in·$3.48 out·1M·99.6% upPParasailfp8$1.74 in·$3.48 out·1M·99.4% upNNextBitfp8$1.80 in·$3.55 out·1M·99.8% upAzure AI Foundry$1.91 in·$3.83 out·1M·98.9% upFFireworksdegraded$1.20 in·$1.20 out·1M·0% up

Per million tokens. Prices and uptime via OpenRouter, checked 8 Sep 2026.

Writing DNA

Style Comparison

Similarity
43%

Claude Sonnet 5 uses 22.7x more emoji

Claude Sonnet 5
DeepSeek V4 Pro
59%Vocabulary57%
35wSentence Length18w
0.53Hedging0.52
3.5Bold3.3
3.5Lists2.3
0.79Emoji0.04
1.25Headings0.45
0.06Transitions0.15
Based on 27 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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