DeepSeek-V4-Flash-0731 (DeepSeek) ile Deepseek-V4-Pro-0813 (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-V4-Flash-0731deepseek/deepseek-v4-flash-0731 | DeepSeek | $0.45 / 1M tokens | $1.33 / 1M tokens | 1M | StreamingTool callingJSON modeLong context | Chinese Q&A, general chat | 1716-3160ms | Catalog | Platform curated |
| Deepseek-V4-Pro-0813deepseek/deepseek-v4-pro-0813 | DeepSeek | $1.33 / 1M tokens | $3.98 / 1M tokens | 1M | StreamingTool callingJSON modeLong context | Chinese Q&A, general chat | 2161-2773ms | Catalog | Platform curated |
FAQ
DeepSeek-V4-Flash-0731, Deepseek-V4-Pro-0813 modeline gore daha ucuzdur ($0.45 / 1M tokens input / $1.33 / 1M tokens output vs $1.33 / 1M tokens input / $3.98 / 1M tokens output). Gercek maliyet, giris ve cikis token karisiminiza baglidir; bu nedenle fiyat hesaplayici ile gercek trafik uzerinden tahmin yapin.
Her iki model de ayni baglam penceresini sunar: 1M token.
Her iki model de Long context icin uygundur. Maliyet oncelikliyse DeepSeek-V4-Flash-0731, daha genis baglam gerekiyorsa DeepSeek-V4-Flash-0731 secin. Uretim trafigini yonlendirmeden once ikisini de gercek promptlarla test edin.
Ilgili karsilastirmalar