Kimi K2.7 Code CN (Moonshotai) ile Qwen3 MAX 2026 01 23 GLB (Qwen) 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 |
|---|---|---|---|---|---|---|---|---|---|
| Kimi K2.7 Code CNmoonshotai/kimi-k2.7-code-cn | Moonshotai | $0.13 / 1M tokens | $0.538 / 1M tokens | — | Streaming | General chat via Moonshotai, API workloads | 1000-3000ms | Catalog | Platform curated |
| Qwen3 MAX 2026 01 23 GLBqwen/qwen3-max-2026-01-23-glb | Qwen | $0.174 / 1M tokens | $0.868 / 1M tokens | — | Streaming | General chat via Qwen, API workloads | 1000-3000ms | Catalog | Platform curated |
FAQ
Kimi K2.7 Code CN, Qwen3 MAX 2026 01 23 GLB modeline gore daha ucuzdur ($0.13 / 1M tokens input / $0.538 / 1M tokens output vs $0.174 / 1M tokens input / $0.868 / 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: — token.
Her iki model de High quality icin uygundur. Maliyet oncelikliyse Kimi K2.7 Code CN, daha genis baglam gerekiyorsa Kimi K2.7 Code CN secin. Uretim trafigini yonlendirmeden once ikisini de gercek promptlarla test edin.