# Gemini 3.5 Flash Lite

> Google's cheapest 1M-context tier. Takes text, image, audio and video; output price includes thinking tokens.

Human version: https://kymaapi.com/models/gemini-3.5-flash-lite
Live JSON: `GET https://kymaapi.com/v1/models` (no auth required)

## Facts

- **Model ID**: `gemini-3.5-flash-lite` — pass this as `model` in the request body
- **Creator**: Google
- **Released**: 2026-07-21
- **Context window**: 1M tokens
- **Max output**: 8K tokens per response — a hard ceiling, not a default
- **Price**: $0.405 in / $3.375 out per 1M, cached input 10%
- **Capabilities**: tools, vision, reasoning, caching

## Call it

```bash
curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer $KYMA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "gemini-3.5-flash-lite", "messages": [{"role": "user", "content": "Hello"}]}'
```

## Positioning

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.

## About

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 10% of the standard 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.

## Use cases

- **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 → `deepseek-r1`
- You require strict JSON schema enforcement → `gpt-5.6-terra`, `qwen3.7-flash`
- You need outputs exceeding 8,192 tokens → `gemini-3.6-flash`, `qwen-3.7-max`

## See also

- All models: https://kymaapi.com/models.md
- Pricing: https://kymaapi.com/pricing.md
- Other models by Google: https://kymaapi.com/models?q=Google