Gemini 3.5 Flash
API model name: gemini-3.5-flash
Gemini 3.5 Flash is Google's chat model, served on the Api.Airforce unified API. It has a 128K-token context window. Beyond text, it accepts image, video, file, audio as input. Capabilities include Vision, Tool calling, Reasoning, Documents, Prompt caching. It is priced at $1.20 per million input tokens and $7.20 per million output tokens. That is below the provider's $1.50 official input rate. Access it through the OpenAI-compatible API with one key, alongside 65+ other models on Api.Airforce.
Pricing
Api.Airforce price vs. the provider's official rate.
Specifications
- Provider
- Type
- chat model
- Context window
- 128K tokens
- Max output
- 66K tokens
- Input
- text, image, video, file, audio
- Output
- text
Capabilities
Use Gemini 3.5 Flash via the API
OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass gemini-3.5-flash as the model.
curl https://api.airforce/v1/chat/completions \
-H "Authorization: Bearer $AIRFORCE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.5-flash",
"messages": [{ "role": "user", "content": "Hello!" }]
}'from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
model="gemini-3.5-flash",
messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
model: "gemini-3.5-flash",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);Live performance
Real throughput and latency across the suppliers serving this model.