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  5. Claude Opus 4.1vsDeepSeek V4 Pro
Updated Apr 2026

Claude Opus 4.1vsDeepSeek V4 Pro

DeepSeek V4 Pro is cheaper than Claude Opus 4.1 at $1.74/M vs $15/M input tokens.

Claude Opus 4.1 and DeepSeek V4 Pro compared across 53 shared prompts
SpecClaude Opus 4.1DeepSeek V4 Pro
Input price$15/M tokens$1.74/M tokens
Output price$75/M tokens$3.48/M tokens
Context window200K tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedAug 2025Apr 2026
Our Verdict
DeepSeek V4 Pro
DeepSeek V4 Pro
Claude Opus 4.1
Claude Opus 4.1Runner-up

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

DeepSeek V4 Pro costs 22x less per token.

Too close to call
API pricing

Cost per 1M tokens

Claude Opus 4.1
Input
$15.00
Output
$75.00
DeepSeek V4 Pro
Input
$1.74
8.6× cheaper
Output
$3.48
22× cheaper

DeepSeek V4 Pro is cheaper on both: 8.6× input, 22× output.

Where to run it

17 hosts, cheapest first

Claude Opus 4.12 hosts
HostInOutContextUptime
Amazon Bedrock$15.00 in·$75.00 out·200k·100% upGoogle Vertex AI$15.00 in·$75.00 out·200k·99.9% up
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

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

Writing DNA

Style Comparison

Similarity
27%

Claude Opus 4.1 uses 23.1x more emoji

Claude Opus 4.1
DeepSeek V4 Pro
63%Vocabulary57%
64wSentence Length18w
0.72Hedging0.52
4.5Bold3.3
5.3Lists2.3
0.81Emoji0.04
1.42Headings0.45
0.16Transitions0.15
Based on 26 + 27 text responses
Research

What we learned reading every model

FAQ

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