> ## 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.

# Gemma & Gemini (Google)

> Google's open and proprietary models.

## Available models

| Model ID           | Parameters | Context | Speed  | Best For            |
| ------------------ | ---------- | ------- | ------ | ------------------- |
| `gemma-4-31b`      | 31B        | 128K    | Medium | Multimodal, vision  |
| `gemma-4-26b-moe`  | 26B (MoE)  | 128K    | Fast   | Efficient inference |
| `gemini-3-flash`   | —          | 1M      | Fast   | Ultra-long context  |
| `gemini-2.5-flash` | —          | 1M      | Fast   | Long context        |

## Gemma vs Gemini

* **Gemma** = open source, free inference on Google. Best for multimodal/vision tasks.
* **Gemini** = proprietary, paid per token. Best for ultra-long context (1M tokens).

## Recommendation

**Use `gemma-4-31b` for multimodal tasks** — supports image understanding. Free inference via Google.

**Use `gemini-2.5-flash` for long context** — 1M token window covers entire codebases and books.

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

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

# Vision / multimodal
response = client.chat.completions.create(
    model="gemma-4-31b",
    messages=[{"role": "user", "content": "Describe this image"}]
)

# Long context (up to 1M tokens)
response = client.chat.completions.create(
    model="gemini-2.5-flash",
    messages=[{"role": "user", "content": "Summarize this 200-page document: ..."}]
)
```

## Model aliases

| Alias          | Resolves to        |
| -------------- | ------------------ |
| `vision`       | `gemma-4-31b`      |
| `long-context` | `gemini-2.5-flash` |

```python theme={null}
model="vision"        # → gemma-4-31b
model="long-context"  # → gemini-2.5-flash
```