Muse Spark Open hosted API providers

Running Muse Spark Open yourself takes around 700GB of VRAM. For most developers, a hosted API is the cheaper place to start.

Hosted APIs

Launch providers named by Meta:

Provider	Notes
OpenRouter	One API across many providers, easy to compare price and speed
Together AI	Open-model hosting and fine-tuning
Fireworks AI	Low-latency inference
Groq	Custom LPU chips, very fast output
Baseten	Dedicated deployments
Modal	Serverless GPUs, per-second billing
Nebius	GPU cloud

Prices and speeds change quickly, so check each provider. Most are OpenAI-compatible, so switching usually means changing only base_url and the model name.

Clouds

• Amazon SageMaker AI
• Google Cloud Model Garden
• Microsoft Foundry Models

A good fit for teams that already have a cloud account or need data residency.

Example call (OpenAI-compatible)

from openai import OpenAI

client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key="YOUR_KEY")
resp = client.chat.completions.create(
    model="<model ID from the provider's page>",
    messages=[{"role": "user", "content": "Explain MoE in three sentences"}],
    temperature=1.0,
)
print(resp.choices[0].message.content)

Attribution

Products built on Muse Spark Open must display “Built with Muse Spark Open”, whether you self-host or use an API. See License explained.

FAQ

Q.How can I use Muse Spark Open without buying hardware?

A.Call it per token through Together AI, Fireworks AI, Groq, OpenRouter and others, or deploy it on Amazon SageMaker AI, Google Cloud Model Garden or Microsoft Foundry Models.