Google modello
Gemini 2.5 Flash
Google: Gemini 2.5 Flash Confronta prezzi API, provider, lunghezza del contesto, capacita, casi d'uso, latenza e alternative. long-document summarization, image Q&A, fast multimodal routing. $0.3 / 1M tokens / $2.50 / 1M tokens. 1M tokens.
Tool callingVisionJSON modeLong contextStreamingLow cost
Che cos'e Gemini 2.5 Flash in NextModel?
Google: Gemini 2.5 Flash Confronta prezzi API, provider, lunghezza del contesto, capacita, casi d'uso, latenza e alternative. long-document summarization, image Q&A, fast multimodal routing. $0.3 / 1M tokens / $2.50 / 1M tokens. 1M tokens.
Casi d'uso migliori
- long-document summarization
- image Q&A
- fast multimodal routing
Esempio compatibile OpenAI
Mantieni lo stile SDK OpenAI, imposta base_url su NextModel e usa l'ID di catalogo gemini-2-5-flash.
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.nextmodel.app/v1"
)
resp = client.chat.completions.create(
model="gemini-2-5-flash",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)Alternative simili
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FAQ
Google: Gemini 2.5 Flash FAQ
Is Gemini 2.5 Flash a low-cost vision option?
Yes. It is categorized as a low-cost multimodal candidate with a large context window.