Doubao Seed 2.0 Code (Volcengine) ile Kimi K2.7 Code (Moonshot 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 |
|---|---|---|---|---|---|---|---|---|---|
| Doubao Seed 2.0 Codedoubao-seed-2-0-code | Volcengine | ¥3.20 / 1M tokens | ¥16 / 1M tokens | 256k | Tool callingJSON modeLong contextStreaming | agentic coding, repository-scale refactors | 1000-3200ms | Production | Platform curated |
| Kimi K2.7 Codekimi-k2-7-code | Moonshot AI | ¥6.93 / 1M tokens | ¥32.76 / 1M tokens | 128k | Tool callingJSON modeLong contextStreaming | agentic coding, code review | 1000-3200ms | Production | Platform curated |
FAQ
Doubao Seed 2.0 Code, Kimi K2.7 Code modeline gore daha ucuzdur (¥3.20 / 1M tokens input / ¥16 / 1M tokens output vs ¥6.93 / 1M tokens input / ¥32.76 / 1M tokens output). Gercek maliyet, giris ve cikis token karisiminiza baglidir; bu nedenle fiyat hesaplayici ile gercek trafik uzerinden tahmin yapin.
Doubao Seed 2.0 Code daha buyuk baglam penceresine sahiptir (256k token), digeri ise 128k token sunar.
Her iki model de Coding icin uygundur. Maliyet oncelikliyse Doubao Seed 2.0 Code, daha genis baglam gerekiyorsa Doubao Seed 2.0 Code secin. Uretim trafigini yonlendirmeden once ikisini de gercek promptlarla test edin.