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  5. DeepSeek V4 ProvsOpenRouter Fusion · Quality (Jun 2026)
Updated Jun 2026

DeepSeek V4 ProvsOpenRouter Fusion · Quality (Jun 2026)

DeepSeek V4 Pro has a larger context window than OpenRouter Fusion · Quality (Jun 2026) (1.0M tokens vs 256K tokens).

DeepSeek V4 Pro and OpenRouter Fusion · Quality (Jun 2026) compared across 54 shared prompts
SpecDeepSeek V4 ProOpenRouter Fusion · Quality (Jun 2026)
Input price$1.74/M tokens—
Output price$3.48/M tokens—
Context window1.0M tokens256K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedApr 2026Jun 2026
Our Verdict
DeepSeek V4 Pro
DeepSeek V4 Pro
OpenRouter Fusion · Quality (Jun 2026)
OpenRouter Fusion · Quality (Jun 2026)

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

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
Output
$3.48
OpenRouter Fusion · Quality (Jun 2026)
Input
—
Output
—
Where to run it

14 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
OpenRouter Fusion · Quality (Jun 2026)

No hosts listed on OpenRouter.

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

Writing DNA

Style Comparison

Similarity
66%

OpenRouter Fusion · Quality (Jun 2026) uses 19.4x more emoji

DeepSeek V4 Pro
OpenRouter Fusion · Quality (Jun 2026)
57%Vocabulary55%
18wSentence Length21w
0.52Hedging0.47
3.3Bold4.0
2.3Lists2.0
0.04Emoji0.68
0.45Headings0.73
0.15Transitions0.09
Based on 27 + 27 text responses
Research

What we learned reading every model

FAQ

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