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  5. DeepSeek V4 FlashvsLlama 3 70B
Updated Apr 2026

DeepSeek V4 FlashvsLlama 3 70B

DeepSeek V4 Flash is cheaper than Llama 3 70B at $0.14/M vs $0.59/M input tokens.

DeepSeek V4 Flash and Llama 3 70B compared across 54 shared prompts
SpecDeepSeek V4 FlashLlama 3 70B
Input price$0.14/M tokens$0.59/M tokens
Output price$0.28/M tokens$0.79/M tokens
Context window1.0M tokens8K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Apr 2024
Our Verdict
DeepSeek V4 Flash
DeepSeek V4 Flash
Llama 3 70B
Llama 3 70BRunner-up

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

Too close to call
API pricing

Cost per 1M tokens

DeepSeek V4 Flash
Input
$0.14
4.2× cheaper
Output
$0.28
2.8× cheaper
Llama 3 70B
Input
$0.59
Output
$0.79

DeepSeek V4 Flash is cheaper on both: 4.2× input, 2.8× output.

Where to run it

15 hosts, cheapest first

DeepSeek V4 Flash15 hosts
HostInOutContextUptime
Baidu Qianfanfp8$0.07 in·$0.14 out·1M·98.7% upDDigitalOcean$0.07 in·$0.17 out·1M·99.7% upSStreamLakefp8$0.07 in·$0.14 out·1M·96.8% upDDeepInfrafp8$0.09 in·$0.18 out·1M·99.2% upGGMI Cloudfp8$0.09 in·$0.18 out·1M·99.1% upSSiliconFlowfp8$0.13 in·$0.28 out·1M·99.5% up
9 more hostsFewer hosts
Alibaba Cloudfp8$0.13 in·$0.27 out·1M·92.7% upVVenice$0.14 in·$0.28 out·1M·96.8% upAAtlasCloudfp4$0.14 in·$0.28 out·1M·99.6% upNNovitafp8$0.14 in·$0.28 out·1M·99.9% upPParasailfp8$0.14 in·$0.28 out·1M·99.7% upNNextBitfp8$0.15 in·$0.35 out·1M·99.9% upMMancerfp8$0.19 in·$0.50 out·1M·98% upPPhala$0.20 in·$0.40 out·1M·99.8% upAzure AI Foundry$0.21 in·$0.56 out·1M·93.5% up
Llama 3 70B

No hosts listed on OpenRouter.

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

Writing DNA

Style Comparison

Similarity
60%

DeepSeek V4 Flash uses 40.9x more headings

DeepSeek V4 Flash
Llama 3 70B
54%Vocabulary52%
17wSentence Length21w
0.52Hedging0.55
3.6Bold3.4
2.6Lists3.5
0.00Emoji0.00
0.41Headings0.00
0.19Transitions0.05
Based on 27 + 27 text responses
Research

What we learned reading every model

FAQ

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