DeepSeek: R1 0528 (DeepSeek) ile DeepSeek: DeepSeek V3.2 Exp (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: R1 0528deepseek/deepseek-r1-0528 | DeepSeek | $0.094 / 1M tokens | $0.405 / 1M tokens | 163.8k | StreamingTool callingJSON modeLong context | Chinese Q&A, general chat | 1000-3000ms | Catalog | Platform curated |
| DeepSeek: DeepSeek V3.2 Expdeepseek/deepseek-v3.2-exp | DeepSeek | $0.052 / 1M tokens | $0.078 / 1M tokens | 163.8k | StreamingTool callingJSON modeLong context | Chinese Q&A, general chat | 1000-3000ms | Catalog | Platform curated |
FAQ
DeepSeek: DeepSeek V3.2 Exp, DeepSeek: R1 0528 modeline gore daha ucuzdur ($0.052 / 1M tokens input / $0.078 / 1M tokens output vs $0.094 / 1M tokens input / $0.405 / 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: 163.8k token.
Her iki model de Long context icin uygundur. Maliyet oncelikliyse DeepSeek: DeepSeek V3.2 Exp, daha genis baglam gerekiyorsa DeepSeek: R1 0528 secin. Uretim trafigini yonlendirmeden once ikisini de gercek promptlarla test edin.