How much does the Muse Spark 1.3 Contributor API cost?

On FastMetal, Muse Spark 1.3 Contributor is billed per token: $0.11 per 1M input tokens and $0.22 per 1M output tokens on a US-dollar account, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.

Can I call Muse Spark 1.3 Contributor with the OpenAI SDK?

Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "muse-spark-1.3-contributor" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.

What is the context window of Muse Spark 1.3 Contributor?

1,048,576 tokens, shared between the prompt and the response.

What do I need to try Muse Spark 1.3 Contributor?

Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.

Back to Models

Muse Spark 1.3 Contributor

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

9/2/2026

1,048,576 tokens

Input: $0.11/M

Output: $0.22/M

Try in Chat Get API Key

Specifications

Modalities

Input

text

image

video

file

audio

Output

text

Supported Parameters

include_reasoning

max_tokens

reasoning

reasoning_effort

repetition_penalty

response_format

structured_outputs

temperature

tool_choice

tools

top_k

top_p

Max Output Tokens

943,718

Reasoning Configuration

Default: Thinking on (effort: medium)
Selectable effort levels: max
xhigh
high
medium
low
minimal
Turning thinking off: Not possible (always thinks)

How to control thinking, and what it costs

Data policy

Prompt retention: May be retained
Training: The provider trains on your prompts

This model is cheap because the provider trains on the prompts you send it. For sensitive input, choose a model that is not used for training.

Whether a provider trains on prompts is a declared value from our terms with them. Retention is determined from the upstream listing for every host this model can reach. Neither is guessed.

Measured performance

Time to first response (p50)1.1s

Measured through FastMetal's own gateway over the last 30 days (651 first-response samples).

Time to first response is measured to the first streamed chunk; throughput counts all output tokens, including reasoning tokens. These are observations, not a performance guarantee.

Code Examples

curl https://api.fastmetal.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "muse-spark-1.3-contributor",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

How much does the Muse Spark 1.3 Contributor API cost?: On FastMetal, Muse Spark 1.3 Contributor is billed per token: $0.11 per 1M input tokens and $0.22 per 1M output tokens on a US-dollar account, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.
Can I call Muse Spark 1.3 Contributor with the OpenAI SDK?: Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "muse-spark-1.3-contributor" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.
What is the context window of Muse Spark 1.3 Contributor?: 1,048,576 tokens, shared between the prompt and the response.
What do I need to try Muse Spark 1.3 Contributor?: Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.