DeepSeek: DeepSeek V4 Flash (DeepSeek) ile Mistral: Mistral Small 3.2 24B (Mistral AI) 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 V4 Flashdeepseek/deepseek-v4-flash | DeepSeek | $0.112 / 1M tokens | $0.224 / 1M tokens | 1M | Tool callingJSON modeLong contextReasoning | low-cost Chinese tasks, long-context summary | 800-2600ms | Catalog | OpenRouter if available |
| Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | Mistral AI | $0.1 / 1M tokens | $0.3 / 1M tokens | 128k | Tool callingJSON modeStreamingLow cost | translation, classification | 700-2300ms | Catalog | OpenRouter if available |
FAQ
DeepSeek: DeepSeek V4 Flash, Mistral: Mistral Small 3.2 24B modeline gore daha ucuzdur ($0.112 / 1M tokens input / $0.224 / 1M tokens output vs $0.1 / 1M tokens input / $0.3 / 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 daha buyuk baglam penceresine sahiptir (1M token), digeri ise 128k token sunar.
Her iki model de Low cost icin uygundur. Maliyet oncelikliyse DeepSeek: DeepSeek V4 Flash, daha genis baglam gerekiyorsa DeepSeek: DeepSeek V4 Flash secin. Uretim trafigini yonlendirmeden once ikisini de gercek promptlarla test edin.