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

# Gemini 3.5 Flash

> Google's Gemini 3.5 Flash via Gemini API. The most intelligent Flash model, optimized for agentic and coding tasks.

Gemini 3.5 Flash is Google's most intelligent Flash model, available through AnyFast via the native Gemini API. It delivers state-of-the-art performance for agentic execution, coding, and long-running tasks.

<Info>
  Google released `gemini-3.5-flash` as the GA model for Gemini 3.5 Flash on May 19, 2026. This is also the model behind `gemini-flash-latest`, and is suited for agentic execution, coding, and long-running tasks.
</Info>

## Key capabilities

* **1M token context window** — Handle massive documents and conversations, with up to 65,000 output tokens
* **Thinking levels** — Control reasoning depth with `minimal`, `low`, `medium` (default), and `high`
* **Thought preservation** — Model automatically retains intermediate reasoning across multi-turn conversations
* **Agentic execution** — Optimized for multi-agent deployment, problem-solving, and large-scale agentic loops
* **Coding** — Excels at iterative coding cycles, rapid exploration, and prototyping
* **GA release** — Stable model ready for production at scale

## Quick example

<CodeGroup>
  ```bash cURL theme={null}
  curl "https://www.anyfast.ai/v1beta/models/gemini-3.5-flash:generateContent?key=YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "contents": [
        {
          "role": "user",
          "parts": [{ "text": "Explain how parallel agentic execution works in three sentences." }]
        }
      ],
      "generationConfig": {
        "thinkingConfig": {
          "thinkingLevel": "medium"
        }
      }
    }'
  ```

  ```python Python theme={null}
  import requests

  url = "https://www.anyfast.ai/v1beta/models/gemini-3.5-flash:generateContent"
  params = {"key": "YOUR_API_KEY"}
  data = {
      "contents": [
          {
              "role": "user",
              "parts": [{"text": "Explain how parallel agentic execution works in three sentences."}]
          }
      ],
      "generationConfig": {
          "thinkingConfig": {
              "thinkingLevel": "medium"
          }
      }
  }

  response = requests.post(url, params=params, json=data)
  result = response.json()
  print(result["candidates"][0]["content"]["parts"][0]["text"])
  ```
</CodeGroup>

## Parameters

| Parameter                                       | Type   | Required | Description                                                            |
| ----------------------------------------------- | ------ | -------- | ---------------------------------------------------------------------- |
| `key`                                           | string | Yes      | API key (query parameter)                                              |
| `contents`                                      | array  | Yes      | Array of `{ role, parts }` objects                                     |
| `systemInstruction`                             | object | No       | System instruction with `parts` array                                  |
| `generationConfig.thinkingConfig.thinkingLevel` | string | No       | `minimal`, `low`, `medium` (default), `high`. Controls reasoning depth |
| `generationConfig.temperature`                  | float  | No       | `0`–`2`. Not recommended for Gemini 3.5 Flash                          |
| `generationConfig.topP`                         | float  | No       | Not recommended for Gemini 3.5 Flash                                   |

<Card title="API Reference" icon="code" href="/api-reference/model-api/google/gemini-3.5-flash">
  View the interactive API playground for Gemini 3.5 Flash.
</Card>

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