GPT 5 Codex (OpenAI) ile Text Embedding 3 Large (OpenAI) 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT 5 Codexopenai/gpt-5-codex | OpenAI | $1.25 / 1M tokens | $10 / 1M tokens | — | Streaming | General chat via OpenAI, API workloads | 1000-3000ms | Catalog | Platform curated |
| Text Embedding 3 Largeopenai/text-embedding-3-large | OpenAI | $0.13 / 1M tokens | $0 / 1M tokens | — | Streaming | General chat via OpenAI, API workloads | 1000-3000ms | Catalog | Platform curated |
FAQ
Text Embedding 3 Large, GPT 5 Codex modeline gore daha ucuzdur ($0.13 / 1M tokens input / $0 / 1M tokens output vs $1.25 / 1M tokens input / $10 / 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 Text Embedding 3 Large, daha genis baglam gerekiyorsa GPT 5 Codex secin. Uretim trafigini yonlendirmeden once ikisini de gercek promptlarla test edin.