# gemini-3.1-flash-lite — API, pricing & specs via nRouter

> gemini-3.1-flash-lite is available through nRouter, the managed LLM gateway: one OpenAI-compatible API key, 0% token markup (exact provider list pricing), 0% platform fee, built-in guardrails, and per-request cost tracking.

## What it is

Gemini 3.1 Flash-Lite is Google's lightweight multimodal foundation model for high-throughput tasks. It processes up to 1,048,576 input tokens across text, audio, video, image, and PDF, with 65,536 max output tokens for translation, transcription, and classification.

Source: https://ai.google.dev/gemini-api/docs/models/gemini-3.1-flash-lite

## Facts

- Maker: Google
- Released: 2026-05-07
- Context window: 1,048,576 tokens
- Max output: 65,536 tokens
- Served on: Google Vertex AI

## nRouter list pricing (exact provider rates, 0% markup)

- Input: $0.25 per 1M tokens
- Output: $1.5 per 1M tokens

Settled at the exact provider list price above. nRouter adds no per-token markup and charges a 0% platform fee (see https://nrouter.ai/pricing).

## Use it

```python
from openai import OpenAI

client = OpenAI(
    base_url="https://api.nrouter.ai/v1",
    api_key="sk-nrouter-YOUR_KEY",  # create one at https://nrouter.ai/signup
)

response = client.chat.completions.create(
    model="vertex_ai/google/gemini-3.1-flash-lite",
    messages=[{"role": "user", "content": "Hello"}],
)
```

Model page: https://nrouter.ai/models/gemini-3.1-flash-lite
Full nRouter index for AI engines: https://nrouter.ai/llms.txt
Docs: https://nrouter.ai/docs