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.
Input, $/1M $0.75
Output, $/1M $3.75
Cache read $0.075
Cache write —
Context 1 048 576
Max output 65 536
Accepts 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, text, video/3gpp, video/avi, video/mov, video/mp4, video/mpeg, video/mpg, video/webm, video/wmv, video/x-flv
Last checked 04.11.2026 12:26:37 UTC
Source provider's page
Price alerts
API
OpenAI-compatible API: the official OpenAI SDKs work with this base URL. Replace YOUR_API_KEY with your key from the provider.
| API base URL | |
|---|---|
| Endpoint | |
| Model id | |
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());Request (JSON)
{
"model": "google/gemini-3.6-flash",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}Response (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
}
}The address is taken from the provider's model list; check it against the provider's documentation.
Source: AI Rate Card, https://airatecard.com/en/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
Technical details
ID: offer:orcarouter|google/gemini-3.6-flash