# Muse Spark 1.2 API Pricing

As of October 10, 2026, Muse Spark 1.2 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens from Meta Model API, the lowest of 2 providers, with cache reads at $0.15 per 1M tokens. It has a 1,048,576-token context window and returns up to 131,072 tokens per response.

- Page: https://models.litellm.ai/models/muse-spark-1.2
- LiteLLM model name: `meta/muse-spark-1.2`
- Context window: 1,048,576 tokens
- Max output: 131,072 tokens
- Added to LiteLLM: August 13, 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 |
|---|---|---|---|---|---|---|---|
| Meta Model API | `meta/muse-spark-1.2` | $1.25 | $4.25 | $0.15 | – | – | 1M |
| AIHubMix | `aihubmix/muse-spark-1.2` | $1.375 | $4.675 | – | – | – | 1M |

## Cost examples

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

- Meta Model API: $4.625
- AIHubMix: $5.088

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

- Meta Model API: $13.35
- AIHubMix: $14.69

## Features

Supported: Function calling, Parallel tool calls, Structured output, Image input, PDF input, Reasoning, Prompt caching, Web search.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="meta/muse-spark-1.2",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Muse Spark 1.2 cost?

Muse Spark 1.2 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens from Meta Model API, the lowest of 2 providers, with cache reads at $0.15 per 1M tokens.

### What is the context window of Muse Spark 1.2?

Muse Spark 1.2 has a 1,048,576-token context window and returns up to 131,072 tokens per response.

### Which providers offer Muse Spark 1.2?

Muse Spark 1.2 is available from 2 providers through LiteLLM: Meta Model API and AIHubMix. The lowest price is on Meta Model API.

### How do I call Muse Spark 1.2 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="meta/muse-spark-1.2", 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 Muse Spark 1.2 support?

Muse Spark 1.2 supports function calling, parallel tool calls, structured output, image input, PDF input, reasoning, prompt caching and web search.

### When did LiteLLM add Muse Spark 1.2?

Muse Spark 1.2 was added to LiteLLM's model price file on August 13, 2026.

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