Meta: Llama 3.2 3B Instruct (OpenRouter) ile Anthropic Claude Haiku Latest (OpenRouter) 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 |
|---|---|---|---|---|---|---|---|---|---|
| Meta: Llama 3.2 3B Instructmeta-llama/llama-3.2-3b-instruct | OpenRouter | $0.01 / 1M tokens | $0.064 / 1M tokens | 131.1k | StreamingLong context | General chat via OpenRouter, API workloads | 1000-3000ms | Catalog | Platform curated |
| Anthropic Claude Haiku Latest~anthropic/claude-haiku-latest | OpenRouter | $0.188 / 1M tokens | $0.94 / 1M tokens | 200k | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
FAQ
Meta: Llama 3.2 3B Instruct, Anthropic Claude Haiku Latest modeline gore daha ucuzdur ($0.01 / 1M tokens input / $0.064 / 1M tokens output vs $0.188 / 1M tokens input / $0.94 / 1M tokens output). Gercek maliyet, giris ve cikis token karisiminiza baglidir; bu nedenle fiyat hesaplayici ile gercek trafik uzerinden tahmin yapin.
Anthropic Claude Haiku Latest daha buyuk baglam penceresine sahiptir (200k token), digeri ise 131.1k token sunar.
Her iki model de Long context icin uygundur. Maliyet oncelikliyse Meta: Llama 3.2 3B Instruct, daha genis baglam gerekiyorsa Anthropic Claude Haiku Latest secin. Uretim trafigini yonlendirmeden once ikisini de gercek promptlarla test edin.