# Muse Spark Open vs Novita AI

> Novita AI and Muse Spark Open score within a point of each other for llm inference, 53.5 and 53.4 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-15

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.

- Muse Spark Open: grade D, 53.4/100, rank #760 of 1095. Markdown https://www.anchorterminal.com/tools/muse-spark-open.md · JSON https://www.anchorterminal.com/api/v1/tools/muse-spark-open.json
- Novita AI: grade D, 53.5/100, rank #756 of 1095. Markdown https://www.anchorterminal.com/tools/novita-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/novita-ai.json
- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md
- All 210 models comparisons: https://www.anchorterminal.com/compare/inference/index.md

## Which one, for what

### Muse Spark Open (D)

Good 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)

Good 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

| Category | Weight | Muse Spark Open | Novita AI | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 42 | 28 | Muse Spark Open +14 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 61 | 62 | Novita AI +1 |
| Agent ergonomics | 13% (16.2 this run) | 69 | 72 | Novita AI +3 |
| Security & auth | 14% (17.5 this run) | 44 | 65 | Novita AI +21 |
| Payments & pricing | 10% (12.5 this run) | 50 | 35 | Muse Spark Open +15 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 60 | 62 | Novita AI +2 |
| Transparency & trust | 7% (8.8 this run) | 53 | 56 | Novita AI +3 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **53.4 · D** | **53.5 · D** | |

## Facts side by side

| Fact | Muse Spark Open | Novita AI |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Meta | Novita AI |
| Hosted endpoint | no (local only) | `https://api.novita.ai/openai` |
| Transports | HTTP | HTTP |
| Auth | None | API key |
| Pricing | Free | Pay per use |
| x402 | no | no |
| Licence | Muse 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 Policy | Proprietary service under the Novita AI Terms of Service. The agent skill and the MCP server are MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-15 | 2026-09-28 |
| Terms last updated |  | 2026-08-05 |
| Privacy policy last updated | no document linked | 2026-05-13 |
| Customer content may train models |  | not found in the text |
| Terms restrict automated access |  | not found in the text |
| Terms restrict benchmarking |  | not found in the text |
| Terms or service can change without notice |  | yes |
| Arbitration or class-action waiver |  | yes |
| Popularity | none | 6 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.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/muse-spark-open-vs-novita-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/muse-spark-open-vs-novita-ai.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "muse-spark-open", "b": "novita-ai"}`. From a terminal: `anchor compare muse-spark-open novita-ai`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/muse-spark-open.json and https://www.anchorterminal.com/api/v1/tools/novita-ai.json

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