Muse: Spark 1.2 Contributor API

Meta's Muse: Spark 1.2 Contributor, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send muse-spark-1.2-contributor as the model.
Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

Facts

Model name: muse-spark-1.2-contributor
Maker: Meta
Context window: 1M tokens
Input price: $0.100 per million tokens
Output price: $0.200 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $0.100 input and $0.200 output per million tokens, $0.0020 cache read per million tokens, 1M tokens of context

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "muse-spark-1.2-contributor",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Muse: Spark 1.2 Contributor?: Served by intent-router: each job goes to the cheapest healthy upstream for this model.
How much does Muse: Spark 1.2 Contributor cost?: Offers now ask $0.100 per million input tokens and $0.200 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
What is the context length of Muse: Spark 1.2 Contributor?: The largest offer takes 1,000,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Muse: Spark 1.2 Contributor do?: Its providers list Audio input, Documents, Vision, Video input, Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
What inputs and outputs does Muse: Spark 1.2 Contributor support?: Text · Audio · Files · Images · Video → Text.
Which providers serve Muse: Spark 1.2 Contributor?: 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
How do I call Muse: Spark 1.2 Contributor?: Send "muse-spark-1.2-contributor" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Muse: Spark 1.2 Contributor listed?: The exchange first listed it on 10/8/2026. This is not its release date.

Muse: Spark 1.2 Contributor API

Facts

Providers

Request

Questions

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