> ## 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

> Google's newest Gemini Flash on Kyma: a 1M-token context window with text, image, audio, and video input in one fast model. Reach for it when a request needs to see or hear something — or when the whole document has to fit in one request.

## Overview

Gemini 3.5 Flash is the newest Flash-class model from Google, built for long context, multimodal input, and fast reasoning. It sits in Kyma's frontier-open quality tier and takes text, images, audio, and video as input while returning text.

On Kyma it runs through the same OpenAI-compatible endpoint as every other model, with automatic failover if a serving path degrades. Prompt caching is supported, so repeated prompt prefixes — long system prompts, large documents you query more than once — bill at 10% of the input rate. Every response reports its exact cost in usage.cost.

The 1M-token context window is the headline capability: whole codebases, long transcripts, or large document sets fit in a single request. Function calling, structured outputs, and reasoning support round it out for agent work, not just one-shot prompts.

## Specs

| Field              | Value                                    |
| ------------------ | ---------------------------------------- |
| Model ID           | `gemini-3.5-flash`                       |
| Best for           | Long context, multimodal, fast reasoning |
| 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          | Premium                                  |
| Release stage      | Stable                                   |

## Pricing

|        | Per 1M tokens |
| ------ | :-----------: |
| Input  |     \$2.02    |
| Output |    \$12.15    |

## Use this when

* **Video and audio analysis** — Feed it video or audio directly — summarize recordings, extract what was said and shown, no separate transcription step.
* **Whole-corpus questions** — The 1M context takes an entire codebase, contract set, or research archive in one request instead of a chunked retrieval pipeline.
* **Vision pipelines** — Image understanding with structured outputs turns screenshots, documents, and photos into clean JSON your code consumes.
* **Fast reasoning at scale** — A fast-tier model that also supports reasoning — multi-step analysis without leaving the fast tier.
* **Multimodal agents** — Tool calling plus four input modalities lets one agent handle text, screenshots, and recordings without switching models.

## Not ideal for

Long single-shot generations — output caps at 8K tokens — or cost-sensitive bulk text work, where its premium pricing buys multimodal range you wouldn't be using.

## Pick something else when

* You want the cheapest long-context option: use [`gemini-2.5-flash`](/models/gemini-2.5-flash).
* You need the strongest tool-heavy agent behavior: use [`kimi-k2.6`](/models/kimi-k2.6).
* You want top reasoning over speed: use [`deepseek-v4-pro`](/models/deepseek-v4-pro).

## Example

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

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

response = client.chat.completions.create(
    model="gemini-3.5-flash",
    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=frontier-open"
```

## FAQ

**Is Gemini 3.5 Flash good for video understanding?**

Yes — video is a first-class input alongside audio, images, and text. You can send a recording and ask questions about what happens in it directly, which collapses the usual transcribe-then-summarize pipeline into one call.

**How does prompt caching change the economics here?**

Gemini 3.5 Flash sits in Kyma's premium cost tier, and caching is where that gets manageable: repeated prompt prefixes — a long system prompt, a document you query more than once — bill at 10% of the input rate, a 90% discount on the cached portion. Every response reports its exact cost in usage.cost, so you can watch the discount land per request.

**Why run Gemini 3.5 Flash through Kyma?**

One API key and one OpenAI-compatible endpoint (base\_url [https://kymaapi.com/v1](https://kymaapi.com/v1)) covers this and every other model on the platform. You get automatic failover when a serving path degrades, exact per-request cost in usage.cost, and \$0.50 of free credit to test with — no card required.