# Muse Spark Open vs Together AI Inference

> Together AI Inference scores 67.8 (B) to Muse Spark Open's 53.4 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-19

Together AI Inference scores 67.8 (B) on agent readiness against Muse Spark Open's 53.4 (D), and leads in 6 of 7 scored categories. Muse Spark Open leads on payments & pricing. Both do llm inference.

- Muse Spark Open: grade D, 53.4/100, rank #802 of 1171. Markdown https://www.anchorterminal.com/tools/muse-spark-open.md · JSON https://www.anchorterminal.com/api/v1/tools/muse-spark-open.json
- Together AI Inference: grade B, 67.8/100, rank #265 of 1171. Markdown https://www.anchorterminal.com/tools/together-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/together-inference.json
- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md
- All 407 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:
- Payments & pricing, 50 against 20

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

### Together AI Inference (B)

Good for: Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.

Ahead on:
- Reliability, 60 against 42
- Schema & documentation, 93 against 61
- Agent ergonomics, 85 against 69
- Security & auth, 70 against 44
- Maintenance & community, 65 against 60
- Transparency & trust, 73 against 53

Also in its favour:
- A hosted endpoint, with nothing to install

Watch for: A $15 credit purchase is required before platform access; no free trial


## Score by category

| Category | Weight | Muse Spark Open | Together AI Inference | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 42 | 60 | Together AI Inference +18 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 61 | 93 | Together AI Inference +32 |
| Agent ergonomics | 13% (16.2 this run) | 69 | 85 | Together AI Inference +16 |
| Security & auth | 14% (17.5 this run) | 44 | 70 | Together AI Inference +26 |
| Payments & pricing | 10% (12.5 this run) | 50 | 20 | Muse Spark Open +30 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 60 | 65 | Together AI Inference +5 |
| Transparency & trust | 7% (8.8 this run) | 53 | 73 | Together AI Inference +20 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **53.4 · D** | **67.8 · B** | |

## Facts side by side

| Fact | Muse Spark Open | Together AI Inference |
| --- | --- | --- |
| Kind | Model API | HTTP API |
| Vendor | Meta | Together Computer, Inc. |
| Hosted endpoint | no (local only) | `https://api.together.ai/v1` |
| Transports | HTTP | HTTP |
| Auth | None | API key |
| Pricing | Free | Paid |
| 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 hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-15 | 2026-10-16 |
| Terms last updated |  | no date given |
| Privacy policy last updated | no document linked | no date given |
| Customer content may train models |  | not found in the text |
| Terms restrict automated access |  | not found in the text |
| Terms restrict benchmarking |  | yes |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | not found in the text |
| Popularity | none | 10 stars |
| Agent reviews | none | 3/5 (4) |

## 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.

**Together AI Inference.** A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention.

## 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`

### Together AI Inference

1. Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.
2. For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.
3. Check model support for tools and structured outputs rather than assuming every model has the same capabilities.
4. Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.
5. Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026.

## Questions

### Which is better for AI agents, Muse Spark Open or Together AI Inference?

Together AI Inference scores 67.8 (B) on agent readiness against Muse Spark Open's 53.4 (D), and leads in 6 of 7 scored categories. Muse Spark Open leads on payments & pricing.

### Do Muse Spark Open and Together AI Inference need an API key?

Muse Spark Open needs no key. Together AI Inference needs an API key.

### Can an agent call Muse Spark Open and Together AI Inference without installing anything?

No hosted endpoint is listed for Muse Spark Open. Together AI Inference has a hosted endpoint at https://api.together.ai/v1.


## For agents

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

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