Kimi K2.7 Code (Moonshot AI) ile Qwen: Qwen3 Max (Alibaba Cloud / 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 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 |
| Qwen: Qwen3 Maxqwen/qwen3-max | Alibaba Cloud / Qwen | $0.78 / 1M tokens | $3.90 / 1M tokens | 262.1k | Tool callingJSON modeLong contextReasoning | Chinese agent workflows, business analysis | 1300-4200ms | Catalog | OpenRouter if available |
FAQ
Qwen: Qwen3 Max, Kimi K2.7 Code modeline gore daha ucuzdur ($0.78 / 1M tokens input / $3.90 / 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.
Qwen: Qwen3 Max daha buyuk baglam penceresine sahiptir (262.1k token), digeri ise 128k token sunar.
Her iki model de Agent icin uygundur. Maliyet oncelikliyse Qwen: Qwen3 Max, daha genis baglam gerekiyorsa Qwen: Qwen3 Max secin. Uretim trafigini yonlendirmeden once ikisini de gercek promptlarla test edin.