> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kymaapi.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Gemini 3.5 Flash Lite

> Gemini 3.5 Flash Lite is a cost-optimized, high-throughput model built for processing massive context windows. Reach for it when you need fast, inexpensive text generation from multimodal inputs at scale.

## Overview

This model is Google's entry-level tier for 1M-token context windows. It accepts text, images, audio, and video as input, but generates text-only output. The architecture prioritizes throughput and low latency, making it suitable for batch processing and high-volume workloads.

On Kyma, the model runs through an OpenAI-compatible endpoint with automatic request failover. It supports tool calling and prompt caching, which bills repeated prefixes at this model's cached input rate. Every response includes exact usage costs in the usage.cost field and identifies the routed model via the X-Kyma-Model header.

The model caps output at 8,192 tokens and does not support native structured outputs or explicit reasoning traces. Thinking tokens are included in the output pricing, so monitor token counts if your prompts trigger internal processing.

## Specs

| Field              | Value                                                                  |
| ------------------ | ---------------------------------------------------------------------- |
| Model ID           | `gemini-3.5-flash-lite`                                                |
| Best for           | High-volume classification, extraction and summarisation at 1M context |
| Context window     | 1.048576M                                                              |
| Max output tokens  | 8K                                                                     |
| Input modalities   | Text, Image, Audio, Video                                              |
| Output modalities  | Text                                                                   |
| Tool calling       | Yes                                                                    |
| Structured outputs | Yes                                                                    |
| Prompt caching     | Yes                                                                    |
| Speed              | Fast                                                                   |
| Cost band          | Balanced                                                               |
| Release stage      | Stable                                                                 |

## Pricing

|        | Per 1M tokens |
| ------ | :-----------: |
| Input  |    \$0.405    |
| Output |    \$3.375    |

## Use this when

* **High Volume Document Analysis** — Process long reports or transcripts to extract key data points without hitting context limits.
* **Automated Content Categorization** — Route large batches of user messages or logs into predefined labels using tool integration.
* **Audio And Video Summarization** — Condense multimedia recordings and image sets into concise text summaries.
* **Fast Interactive Chat Routing** — Handle lightweight conversational turns where response speed matters more than complex reasoning.

## Not ideal for

Do not use this model for tasks requiring explicit reasoning chains, strict JSON schema enforcement, or outputs longer than 8,192 tokens.

## Pick something else when

* You need explicit reasoning or step-by-step logic: use [`deepseek-r1`](/models/deepseek-r1).
* You require strict JSON schema enforcement: use [`gpt-5.6-terra`](/models/gpt-5.6-terra) or [`qwen3.7-flash`](/models/qwen3.7-flash).
* You need outputs exceeding 8,192 tokens: use [`gemini-3.6-flash`](/models/gemini-3.6-flash) or [`qwen-3.7-max`](/models/qwen-3.7-max).

## Example

```python theme={null}
from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="kyma-...")

response = client.chat.completions.create(
    model="gemini-3.5-flash-lite",
    messages=[{"role": "user", "content": "..."}],
    tools=[...],  # function calling supported
)
```

## Agent query example

Ask the API which models fit, instead of hardcoding an id:

```bash theme={null}
curl "https://kymaapi.com/v1/models?recommended_for=chat&tools=true&quality_tier=efficient"
```

## FAQ

**Does this model support structured JSON outputs natively?**

No, it does not support structured outputs. You will need to parse the generated text manually or route the request to a model with native schema enforcement.

**How does prompt caching affect my input costs?**

Kyma bills cached prompt prefixes at this model's cached input rate, which is published beside the input rate rather than assumed.

**Can I send audio and video files directly to the API?**

Yes, the model accepts text, image, audio, and video inputs, though it only generates text responses.

## Related aliases

| Alias  | Resolves to             |
| ------ | ----------------------- |
| `fast` | `gemini-3.5-flash-lite` |