---
title: Gemini 3.5 Flash-Lite | Runware Docs
url: https://runware.ai/docs/models/google-gemini-3-5-flash-lite
description: Fast high-throughput Gemini model for low-latency agentic and document-heavy workloads
---
# Gemini 3.5 Flash-Lite

![Gemini 3.5 Flash-Lite](https://assets.runware.ai/covers/google-gemini-3-5-flash-lite.jpg)

Gemini 3.5 Flash-Lite is a lightweight multimodal model in Google's Gemini 3.5 family, built for high-throughput and latency-sensitive production workloads. It is well suited to agentic search, document processing, coding subtasks, routing, summarization, and other flows where fast response times and scale matter as much as model quality. It combines the Lite tier's efficiency profile with stronger long-context, coding, and agent-style performance than earlier Flash-Lite generations.

- **Status**: compatible-only
- **ID**: `google-gemini-3-5-flash-lite`
- **Context window**: 1M context
- **Max output**: 64K output
- **Creator**: Google
- **Release Date**: July 21, 2026
- **Capabilities**: Text to Text, Image to Text, Video to Text, Audio to Text, Checkpoint

**Gemini 3.5 Flash-Lite** is served through Runware's **compatible endpoints**, which take another provider's request format. Point the SDK you already use at Runware by changing the base URL and the API key, and set `model` to `google:gemini@3.5-flash-lite`.

Requests and responses keep the provider's format, so **its reference documents every parameter**.

| Endpoint | Format |
| --- | --- |
| `/v1/chat/completions` | [OpenAI Chat Completions](https://runware.ai/docs/tools/compatible-apis#openai-chat-completions) |

### [Chat Completions](https://runware.ai/docs/models/google-gemini-3-5-flash-lite#chat-completions)

**cURL**:

```bash
curl -X POST https://api.runware.ai/v1/chat/completions \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google:gemini@3.5-flash-lite",
    "messages": [{"role": "user", "content": "What is the capital of France?"}]
  }'
```

**Python**:

```python
from openai import OpenAI

client = OpenAI(
    api_key="your_runware_api_key",
    base_url="https://api.runware.ai/v1",
)

response = client.chat.completions.create(
    model="google:gemini@3.5-flash-lite",
    messages=[{"role": "user", "content": "What is the capital of France?"}],
)

print(response.choices[0].message.content)
```

**TypeScript**:

```typescript
import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your_runware_api_key',
  baseURL: 'https://api.runware.ai/v1',
});

const response = await client.chat.completions.create({
  model: 'google:gemini@3.5-flash-lite',
  messages: [{ role: 'user', content: 'What is the capital of France?' }],
});

console.log(response.choices[0].message.content);
```

[Compatible APIs](https://runware.ai/docs/tools/compatible-apis#openai-chat-completions) covers streaming, tool calling and how the endpoint differs from OpenAI, and the [OpenAI API reference](https://platform.openai.com/docs/api-reference/chat/create) lists every parameter.

## Cost and speed

**Rates** (per 1M tokens)

- Input: `$0.30`
- Output: `$2.50`
- Cached input: `$0.03`

billed per token, so a request costs what the model produced · [How pricing works](https://runware.ai/docs/models-api/pricing)