Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through conflicting inputs, and request clarification or confirmation when needed, with an emphasis on concise execution.
$0.625
$0.075
$2.13
Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Not enough throughput data
Not enough TTFT data
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through conflicting inputs, and request clarification or confirmation when needed, with an emphasis on concise execution.
On NagaAI, Muse Spark 1.3 costs $0.625 per 1M input tokens and $2.13 per 1M output tokens. You pay only for what you use, with no subscription.
Muse Spark 1.3 reads up to 1.0M tokens in one request, counting the prompt and the answer together.
Yes. Muse Spark 1.3 can call your functions as tools and can answer in a JSON schema you give it.
It takes text, images and files as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.
Muse Spark OpenMeta LlamaMuse WonderMeta LlamaMuse Spark 1.3 ContributorMeta Llama$0.05 / $0.10 per 1MMuse Spark 1.2 ContributorMeta Llama$0.05 / $0.10 per 1MMuse Glimmer 30BMeta LlamaMuse Spark 1.2Meta Llama$0.625 / $2.13 per 1MNot enough activity data to display a chart