# Databricks Grok 4.7 API Pricing

As of October 31, 2026, Databricks Grok 4.7 costs $2.50 per 1M input tokens and $7.50 per 1M output tokens on Databricks, with cache reads at $0.625 and cache writes at $2.50 per 1M tokens. It has a 500,000-token context window and returns up to 500,000 tokens per response.

- Page: https://models.litellm.ai/models/databricks-grok-4-7
- LiteLLM model name: `databricks/databricks-grok-4-7`
- Context window: 500,000 tokens
- Max output: 500,000 tokens
- Added to LiteLLM: October 30, 2026
- Prices updated: October 30, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Databricks | `databricks/databricks-grok-4-7` | $2.50 | $7.50 | $0.625 | – | – | 500K |

## Cost examples

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

- Databricks: $8.75

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

- Databricks: $26.50

## Features

Supported: Function calling, Image input, Reasoning, Prompt caching.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="databricks/databricks-grok-4-7",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## Cost calculator

10,000 requests a day with 1,000 input and 500 output tokens each, at Databricks's price: $0.00625 per request, $62.50 per day, $1,875 per month (30 days). Try other numbers at https://models.litellm.ai/calculator?model=databricks-grok-4-7

## FAQ

### How much does Databricks Grok 4.7 cost?

Databricks Grok 4.7 costs $2.50 per 1M input tokens and $7.50 per 1M output tokens on Databricks, with cache reads at $0.625 and cache writes at $2.50 per 1M tokens.

### What is the context window of Databricks Grok 4.7?

Databricks Grok 4.7 has a 500,000-token context window and returns up to 500,000 tokens per response.

### Which providers offer Databricks Grok 4.7?

Databricks Grok 4.7 is available from Databricks through LiteLLM, using the model name databricks/databricks-grok-4-7.

### How do I call Databricks Grok 4.7 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="databricks/databricks-grok-4-7", 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 Databricks Grok 4.7 support?

Databricks Grok 4.7 supports function calling, image input, reasoning and prompt caching.

### When did LiteLLM add Databricks Grok 4.7?

Databricks Grok 4.7 was added to LiteLLM's model price file on October 30, 2026.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change.