Gemini 3.1 Flash Lite
Google's low-latency Gemini model for high-volume multimodal and agent workloads.
Context Window
1M tokens
gemini-3.1-flash-lite
Max Output
-
1M tokens
Input
$0.225$0.25
10% off1M tokens
Output
$0.675$0.75
10% off1M tokens
gemini-3.1-flash-litePlayground
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Pricing
| Plan | Context Window | Max Output | Input | Output | Cache Write | Cache Read |
|---|---|---|---|---|---|---|
gemini-3.1-flash-lite | 1M tokens | - | $0.225$0.2510% off 1M tokens | $0.675$0.7510% off 1M tokens | - | - |
Context caching · $0.01125 · 1M tokens
README
- Gemini 3.1 Flash Lite supports thinking (reasoning): requests may spend tokens on reasoning before producing the answer, so max_tokens should be set above the expected answer length.
- It supports multimodal input (text, image, audio) with text output, tool use, and file handling over a 1M-token context window.
- As a low-latency model, it is aimed at high-volume multimodal and agent workloads where fast turnaround and cost efficiency matter more than frontier depth.
API
Google's low-latency Gemini model for high-volume multimodal and agent workloads.
Model Code
gemini-3.1-flash-lite
API
Endpoint
POST /v1beta/models/{model}:generateContentAuthentication
x-goog-api-key: YOUR_REACH_API_KEY Content-Type: application/json
Example
curl -X POST "https://direct.reachapi.ai/v1beta/models/YOUR_MODEL_ID:generateContent" \
-H "x-goog-api-key: YOUR_REACH_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"contents": [
{
"role": "user",
"parts": [
{
"text": "Introduce ReachAPI in one sentence."
}
]
}
],
"generationConfig": {
"temperature": 0.2
}
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