Meta / meta/muse-spark-1.2-contributor

Muse Spark 1.2 Contributor - access through LLMTR

Muse Spark 1.2 Contributor is the same checkpoint as Muse Spark 1.2; what differs is the price and the data policy. The prompts you send and the responses you receive are used by Meta to train future models, and in exchange tokens cost far less: $0.10 instead of $1.25 per 1M input tokens, and $0.20 instead of $4.25 per 1M output tokens. Its capabilities are identical to 1.2: a 1,048,576-token context window, image/video/PDF input, tool calling, JSON and schema-conforming structured output, and reasoning effort adjustable from minimal to xhigh. It suits work whose data is not sensitive, such as prototypes, load tests, and integration trials; leave confidential, personal, or customer data to Muse Spark 1.2 on the standard tier. This tier's rate limit is low and shared across the platform, so it is not suited to high-volume production traffic.

Technical specifications

Canonical IDmeta/muse-spark-1.2-contributor
ProviderMeta
Context window1,048,576 tokens
OperationsCHAT_COMPLETIONS
Modalitiestext, image, video

Pricing

An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.

OperationMetricUnitPrice
CHAT_COMPLETIONSINPUT_TEXTPER_1M_TOKENS$0.100000
CHAT_COMPLETIONSCACHE_READPER_1M_TOKENS$0.002000
CHAT_COMPLETIONSOUTPUT_TEXTPER_1M_TOKENS$0.200000

Example usage

With existing OpenAI SDK flows, change only the base URL and model identifier.

curl https://llmtr.com/v1/chat/completions \
  -H "Authorization: Bearer llmtr-your_key" \
  -H "Content-Type: application/json" \
  -d '{"model":"meta/muse-spark-1.2-contributor","messages":[{"role":"user","content":"Hello"}]}'

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