Gemini 3.6 Flash · orcarouter
Gemini 3.6 Flash is Google's latest fast, cost-efficient model in the Gemini 3 family — a natively multimodal model that reads text, images, video, audio, and files and responds in text, with a 1M-token context window and up to 64K output tokens. It is built for teams that need frontier-adjacent quality at Flash-tier speed and price, and is a strong default across coding agents, document and media understanding, retrieval-augmented generation, and high-throughput automation. Against the previous 3.5 Flash it is markedly more token-efficient and less verbose — reaching the same or better quality while emitting fewer output tokens, which directly lowers cost and latency on long agentic runs. It supports configurable reasoning effort (so callers can dial depth against speed per request), native tool calling, and structured outputs, and it holds up strongly on long-context and agentic-coding evaluations for its tier, including 91.8% on 128k-average multi-needle retrieval and competitive scores on SWE-Bench Pro, Terminal-Bench, and OSWorld. Gemini 3.6 Flash speaks both the OpenAI chat-completions format and Gemini's native generateContent API, making it a drop-in upgrade for existing Gemini and OpenAI-compatible integrations. Use it as the everyday workhorse when you want most of the intelligence of a frontier model without paying frontier prices.
Entrée, $/1M $0.75
Sortie, $/1M $3.75
Lecture cache $0.075
Écriture cache —
Contexte 1 048 576
Sortie max. 65 536
Accepte application/pdf, audio/aac, audio/aiff, audio/alaw, audio/flac, audio/l16, audio/m4a, audio/mp3, audio/mpeg, audio/mulaw, audio/ogg, audio/opus, audio/wav, audio/webm, image/heic, image/heif, image/jpeg, image/png, image/webp, texte, video/3gpp, video/avi, video/mov, video/mp4, video/mpeg, video/mpg, video/webm, video/wmv, video/x-flv
Dernière vérification 04.11.2026 12:26:37 UTC
Source page du fournisseur
Alertes de prix
API
API compatible OpenAI : les SDK officiels d'OpenAI fonctionnent avec cette URL de base. Remplacez YOUR_API_KEY par votre clé du fournisseur.
| URL de base de l'API | |
|---|---|
| Point de terminaison | |
| ID du modèle | |
curl
curl https://api.orcarouter.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "google/gemini-3.6-flash", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'Python
import requests
r = requests.post(
"https://api.orcarouter.ai/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={
"model": "google/gemini-3.6-flash",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
},
)
print(r.json())JavaScript
const r = await fetch("https://api.orcarouter.ai/v1/chat/completions", {
method: "POST",
headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
body: JSON.stringify({
"model": "google/gemini-3.6-flash",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}),
});
console.log(await r.json());Requête (JSON)
{
"model": "google/gemini-3.6-flash",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}Réponse (JSON)
{
"id": "chatcmpl-...",
"object": "chat.completion",
"model": "google/gemini-3.6-flash",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hi! How can I help?"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 9,
"completion_tokens": 12,
"total_tokens": 21
}
}L'adresse provient de la liste de modèles du fournisseur ; vérifiez-la dans sa documentation.
Source: AI Rate Card, https://airatecard.com/fr/c/offer%3Aorcarouter%7Cgoogle/gemini-3.6-flash, prices checked 2026-11-04; seller's page: https://orcarouter.ai/models/google/gemini-3.6-flash
Détails techniques
ID: offer:orcarouter|google/gemini-3.6-flash