DeepSeek V4 Pro 0813vsGrok 4
DeepSeek V4 Pro 0813 is cheaper than Grok 4 at $0.66/M vs $3/M input tokens.
| Spec | DeepSeek V4 Pro 0813 | Grok 4 |
|---|---|---|
| Input price | $0.66/M tokens | $3/M tokens |
| Output price | $1.98/M tokens | $15/M tokens |
| Context window | 1.0M tokens | 256K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Aug 2026 | Jul 2025 |
Our Verdict
DeepSeek V4 Pro 0813
Grok 4Runner-up
Not enough votes to call it. On the specs, DeepSeek V4 Pro 0813 has the edge: bigger model tier, newer, bigger context window.
DeepSeek V4 Pro 0813 costs 7.6x less per token.
Slight edge
API pricing
Cost per 1M tokens
DeepSeek V4 Pro 0813
Input
$0.66
4.5× cheaper
Output
$1.98
7.6× cheaper
Grok 4
Input
$3.00
Output
$15.00
DeepSeek V4 Pro 0813 is cheaper on both: 4.5× input, 7.6× output.
Where to run it
19 hosts, cheapest first
DeepSeek V4 Pro 081319 hosts
Baidu Qianfanfp8$0.58 in$1.74 out1M99.9% upAlibaba Cloud$0.58 in$1.74 out1M99.9% upDeepSeek$0.66 in$1.98 out1M100% upStreamLake$0.66 in$1.98 out1M99.8% upNovitafp8$0.99 in$2.97 out1M100% upGMI Cloudfp8$1.06 in$3.17 out1M99.1% up
13 more hostsFewer hosts
Ionstreamfp4$1.10 in$3.30 out1M100% upNextBitfp8$1.12 in$3.37 out1M99.9% upDeepInfrafp8$1.30 in$2.60 out1M99.3% upCoreWeavefp8$1.31 in$3.96 out1M99.9% upBasetenfp4$1.32 in$3.96 out1M99.9% upCloudflare Workers AI$1.32 in$3.96 out1M99.5% upDigitalOcean$1.32 in$3.96 out1M99.9% upFireworks$1.32 in$3.96 out1M99.7% upParasailfp8$1.32 in$3.96 out1M99.7% upSail Researchfp4$1.32 in$3.96 out1M99.9% upSiliconFlowfp8$1.32 in$3.96 out1M100% upTogether$1.32 in$3.96 out1M99.3% upPhala$1.45 in$4.36 out1M99.8% up
Grok 4
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 9 Sep 2026.
Writing DNA
Style Comparison
Similarity
51%
Grok 4 uses 59.8x more emoji
DeepSeek V4 Pro 0813
Grok 4
57%Vocabulary56%
17wSentence Length18w
0.49Hedging0.65
3.2Bold2.4
3.2Lists2.4
0.00Emoji0.60
1.08Headings0.73
0.04Transitions0.06
Based on 27 + 26 text responses
Research
What we learned reading every model
FAQ
Common questions
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