DeepSeek: DeepSeek V3.1 (DeepSeek) ile DeepSeek: DeepSeek V4 Flash 0423 (DeepSeek) modellerini fiyat, baglam, yetenekler ve gecikme acisindan karsilastirin.
Yan yana
Fiyat, saglayici, baglam, yetenekler, gecikme ve kaynak temelini karsilastirin.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek: DeepSeek V3.1deepseek/deepseek-chat-v3.1 | DeepSeek | $0.041 / 1M tokens | $0.149 / 1M tokens | 163.8k | StreamingTool callingJSON modeLong context | Chinese Q&A, general chat | 1000-3000ms | Catalog | Platform curated |
| DeepSeek: DeepSeek V4 Flash 0423deepseek/deepseek-v4-flash | DeepSeek | $0.017 / 1M tokens | $0.035 / 1M tokens | 1M | StreamingTool callingJSON modeLong context | Chinese Q&A, general chat | 1000-3000ms | Catalog | Platform curated |
FAQ
DeepSeek: DeepSeek V4 Flash 0423, DeepSeek: DeepSeek V3.1 modeline gore daha ucuzdur ($0.017 / 1M tokens input / $0.035 / 1M tokens output vs $0.041 / 1M tokens input / $0.149 / 1M tokens output). Gercek maliyet, giris ve cikis token karisiminiza baglidir; bu nedenle fiyat hesaplayici ile gercek trafik uzerinden tahmin yapin.
DeepSeek: DeepSeek V4 Flash 0423 daha buyuk baglam penceresine sahiptir (1M token), digeri ise 163.8k token sunar.
Her iki model de Long context icin uygundur. Maliyet oncelikliyse DeepSeek: DeepSeek V4 Flash 0423, daha genis baglam gerekiyorsa DeepSeek: DeepSeek V4 Flash 0423 secin. Uretim trafigini yonlendirmeden once ikisini de gercek promptlarla test edin.
Ilgili karsilastirmalar