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Head to head · LLM inference · October 2026 research run

Muse Spark Open vs Novita AI

Novita AI and Muse Spark Open score within a point of each other on agent readiness, 53.5 (D) and 53.4 (D). Muse Spark Open leads on reliability and payments & pricing. Both do llm inference.

Best model APIs and inference for AI agents · All 210 models comparisons

Muse Spark OpenMeta · Model API D53.4/100#760 of 1095 Novita AINovita AI · Model API D53.5/100#756 of 1095

Which one, for what

Muse Spark Open D

Best for A team with a four-GPU Blackwell node, or two to four Mac Studios, that wants a 1M-token multimodal coding and agent model on its own hardware with no prompts leaving it.

Ahead on

  • Reliability, 42 against 28
  • Payments & pricing, 50 against 35

Also in its favour

  • No key needed to call it

Watch for

The NVFP4 checkpoint (about 537 GB) serves on four B300 GPUs and the BF16 one (about 1.65 TB) on eight

Novita AI D

Best for Agents that want many open-weight models at per-token prices behind one OpenAI-style key, with keys that can be limited by model, IP and expiry.

Ahead on

  • Security & auth, 65 against 44

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

No status page or SLA was found on the home page, the docs index or the docs site map. The home page states 99.5% uptime with no supporting document

Score by category

CategoryWeight this runMuse Spark OpenNovita AIEdge
Reliability16%204228Muse Spark Open +14
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26162Novita AI +1
Agent ergonomics13%16.26972Novita AI +3
Security & auth14%17.54465Novita AI +21
Payments & pricing10%12.55035Muse Spark Open +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86062Novita AI +2
Transparency & trust7%8.85356Novita AI +3
Negative events≤1500
TotalD 53.4/100D 53.5/100

Facts side by side

FactMuse Spark OpenNovita AI
KindModel APIModel API
VendorMetaNovita AI
Hosted endpointno (local only)https://api.novita.ai/openai
TransportsHTTPHTTP
AuthNoneAPI key
PricingFreePay per use
x402nono
LicenceMuse Model Licence (source-available weights, not an OSI licence), free of charge with an attribution notice, a separate agreement with Meta before Model as a Service by a licensee group above $20M gross revenue, and the Muse Spark Open Usage PolicyProprietary service under the Novita AI Terms of Service. The agent skill and the MCP server are MIT
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-152026-09-28
Terms last updated2026-08-05
Privacy policy last updatedno document linked2026-05-13
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticeyes
Arbitration or class-action waiveryes
Popularitynone6 stars, 1.4k npm/wk

Verdicts

Muse Spark Open

Muse Spark Open runs on the owner's hardware in seven runtimes, with OpenAI-compatible servers in vLLM and SGLang, standard tool calls, a 1M-token context and Meta's own serving docs. Serving the 537 GB NVFP4 checkpoint takes four B300 GPUs, Meta's download is gated by manual review, and the licence adds attribution and a revenue threshold for model resellers.

Novita AI

Per-token prices for about 140 language models are public, and each key can carry an expiry, a model allowlist and a source IP allowlist. No status page, SLA or security.txt was found, the per-model rate limit figures are drawn by script, and both vendor SDK repositories are archived while the docs still point to them.

Before you call either

Muse Spark Open

  1. Start vLLM or SGLang with --reasoning-parser muse --tool-call-parser muse (vLLM also --enable-auto-tool-choice), or tool calls come back as raw text
  2. Set reasoning_effort to low or medium for short tasks. The default is xhigh, reasoning can't be turned off, and other values return an error
  3. Stop only on <|eot|> and end of text. Stopping on <|eom|> cuts off tool calls and final answers
  4. Stream long generations and leave max_tokens room for reasoning, or content can come back empty with finish_reason length
  5. Don't call Meta Model API for this model. Use a self-hosted server or a hosted provider's model string, such as meta-models/muse-spark-open

Novita AI

  1. Set the OpenAI client base URL to https://api.novita.ai/openai and send the key as Authorization: Bearer. Keys start with sk_
  2. Do not close a connection to stop generation. A request that reached the model is billed in full under status 499, so cap output with max_tokens
  3. On 429, check whether the code is RATE_LIMIT_EXCEEDED or TOKEN_LIMIT_EXCEEDED and back off exponentially. No Retry-After header is documented
  4. Read the changelog for retirement notices before pinning a model id. One retirement in October 2026 came with 11 days' notice
  5. Ask the account owner for a key with an expiry, a model access policy and an IP allowlist. Keys are created and deleted only in the console

Questions

Which is better for AI agents, Muse Spark Open or Novita AI?

Novita AI and Muse Spark Open score within a point of each other on agent readiness, 53.5 (D) and 53.4 (D). Muse Spark Open leads on reliability and payments & pricing.

Do Muse Spark Open and Novita AI need an API key?

Muse Spark Open needs no key. Novita AI needs an API key.

Can an agent call Muse Spark Open and Novita AI without installing anything?

No hosted endpoint is listed for Muse Spark Open. Novita AI has a hosted endpoint at https://api.novita.ai/openai.

Other comparisons with Muse Spark Open or Novita AI

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