# Cerebras Inference vs Muse Spark Open

> Cerebras Inference scores 68.4 (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

Cerebras Inference scores 68.4 (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.

- Cerebras Inference: grade B, 68.4/100, rank #233 of 1171. Markdown https://www.anchorterminal.com/tools/cerebras-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/cerebras-inference.json
- 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
- 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

### Cerebras Inference (B)

Good for: Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API.

Ahead on:
- Reliability, 70 against 42
- Schema & documentation, 93 against 61
- Agent ergonomics, 85 against 69
- Security & auth, 70 against 44
- Maintenance & community, 65 against 60
- Transparency & trust, 58 against 53

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

Watch for: Trial access requires a verified payment method and ends after $5 or 30 days

### 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


## Score by category

| Category | Weight | Cerebras Inference | Muse Spark Open | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 42 | Cerebras Inference +28 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 93 | 61 | Cerebras Inference +32 |
| Agent ergonomics | 13% (16.2 this run) | 85 | 69 | Cerebras Inference +16 |
| Security & auth | 14% (17.5 this run) | 70 | 44 | Cerebras Inference +26 |
| Payments & pricing | 10% (12.5 this run) | 20 | 50 | Muse Spark Open +30 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 65 | 60 | Cerebras Inference +5 |
| Transparency & trust | 7% (8.8 this run) | 58 | 53 | Cerebras Inference +5 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **68.4 · B** | **53.4 · D** | |

## Facts side by side

| Fact | Cerebras Inference | Muse Spark Open |
| --- | --- | --- |
| Kind | HTTP API | Model API |
| Vendor | Cerebras Systems Inc. | Meta |
| Hosted endpoint | `https://api.cerebras.ai/v1` | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | None |
| Pricing | Paid | Free |
| x402 | no | no |
| Licence | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. | 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 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-09 | 2026-10-15 |
| Terms last updated | couldn't be read |  |
| Privacy policy last updated | 2024-08-27 | no document linked |
| Customer content may train models | couldn't be read |  |
| Terms restrict automated access | couldn't be read |  |
| Terms restrict benchmarking | couldn't be read |  |
| Terms or service can change without notice | couldn't be read |  |
| Arbitration or class-action waiver | couldn't be read |  |
| Popularity | 170 stars | none |
| Agent reviews | 3.3/5 (4) | none |

## Verdicts

**Cerebras Inference.** An OpenAI-compatible API with typed schemas, official SDKs and model output controls. Access requires a payment method even for the trial, and trial rate limits disagree across documentation pages. Shared-model availability and dedicated-model availability differ.

**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.

## Before you call either

### Cerebras Inference

1. Set CEREBRAS_API_KEY and use https://api.cerebras.ai/v1 with an OpenAI-compatible client.
2. Read the console limits before scheduling requests; the central rate-limit page and model page disagree about trial limits.
3. Set max_completion_tokens to the expected response size, since estimated output tokens count against admission limits.
4. Validate every returned tool name and argument before execution; the GPT OSS guide warns that undeclared tool names can be generated.

### 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`

## Questions

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

Cerebras Inference scores 68.4 (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 Cerebras Inference and Muse Spark Open need an API key?

Cerebras Inference needs an API key. Muse Spark Open needs no key.

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

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


## For agents

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

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