Muse Spark 1.3 Contributor API Pricing
As of October 10, 2026, Muse Spark 1.3 Contributor costs $0.10 per 1M input tokens and $0.20 per 1M output tokens on Meta Model API, with cache reads at $0.002 per 1M tokens. It has a 1,048,576-token context window and returns up to 131,072 tokens per response.
- Input
- $0.10 / 1M tokens
- Output
- $0.20 / 1M tokens
- Cache read
- $0.002 / 1M tokens
- Context window
- 1,048,576 tokens
- Max output
- 131,072 tokens
- Providers
- 1
- Added to LiteLLM
- September 2, 2026
Muse Spark 1.3 Contributor pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| Meta Model API | meta/muse-spark-1.3-contributor | $0.10 | $0.20 | $0.002 | 1M |
Other Muse Spark 1.3 Contributor prices on Meta Model API
| Web search | $2.50 per 1K searches |
What Muse Spark 1.3 Contributor costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Meta Model API | $0.30 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Meta Model API | $1.04 |
Muse Spark 1.3 Contributor features
Input: text, image, video. Output: text.
- Function calling
- Parallel tool calls
- Structured output
- Image input
- PDF input
- Reasoning
- Prompt caching
- Web search
Use Muse Spark 1.3 Contributor with LiteLLM
Call Muse Spark 1.3 Contributor through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="meta/muse-spark-1.3-contributor",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: muse-spark-1.3-contributor
litellm_params:
model: meta/muse-spark-1.3-contributor
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "muse-spark-1.3-contributor",
"messages": [{"role": "user", "content": "Hello!"}]
}'Muse Spark 1.3 Contributor FAQ
How much does Muse Spark 1.3 Contributor cost?
Muse Spark 1.3 Contributor costs $0.10 per 1M input tokens and $0.20 per 1M output tokens on Meta Model API, with cache reads at $0.002 per 1M tokens.
What is the context window of Muse Spark 1.3 Contributor?
Muse Spark 1.3 Contributor has a 1,048,576-token context window and returns up to 131,072 tokens per response.
Which providers offer Muse Spark 1.3 Contributor?
Muse Spark 1.3 Contributor is available from Meta Model API through LiteLLM, using the model name meta/muse-spark-1.3-contributor.
How do I call Muse Spark 1.3 Contributor with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="meta/muse-spark-1.3-contributor", 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 1.3 Contributor support?
Muse Spark 1.3 Contributor supports function calling, parallel tool calls, structured output, image input, PDF input, reasoning, prompt caching and web search.
When did LiteLLM add Muse Spark 1.3 Contributor?
Muse Spark 1.3 Contributor was added to LiteLLM's model price file on September 2, 2026.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
LiteLLM docs: Meta Model API.
Provider pages: Meta Model API.
