# Gemma 4 26B API Pricing

As of October 10, 2026, Gemma 4 26B costs $0.03 per 1M input tokens and $0.165 per 1M output tokens on Darkbloom. It has a 131,072-token context window and returns up to 32,768 tokens per response.

- Page: https://models.litellm.ai/models/gemma-4-26b
- Lab: Google
- LiteLLM model name: `darkbloom/gemma-4-26b`
- Context window: 131,072 tokens
- Max output: 32,768 tokens
- Added to LiteLLM: June 2026
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Darkbloom | `darkbloom/gemma-4-26b` | $0.03 | $0.165 | – | – | – | 128K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- Darkbloom: $0.1425

100 long-document requests with 100,000 input and 2,000 output tokens each:

- Darkbloom: $0.333

## Features

Supported: Function calling.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="darkbloom/gemma-4-26b",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Gemma 4 26B cost?

Gemma 4 26B costs $0.03 per 1M input tokens and $0.165 per 1M output tokens on Darkbloom.

### What is the context window of Gemma 4 26B?

Gemma 4 26B has a 131,072-token context window and returns up to 32,768 tokens per response.

### Which providers offer Gemma 4 26B?

Gemma 4 26B is available from Darkbloom through LiteLLM, using the model name darkbloom/gemma-4-26b.

### How do I call Gemma 4 26B with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="darkbloom/gemma-4-26b", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### What features does Gemma 4 26B support?

Gemma 4 26B supports function calling.

### When did LiteLLM add Gemma 4 26B?

Gemma 4 26B was added to LiteLLM's model price file in June 2026.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json