# Fireworks AI Inference vs Muse Spark Open

> Fireworks AI Inference scores 73.5 (BB) 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

Fireworks AI Inference scores 73.5 (BB) 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.

- Fireworks AI Inference: grade BB, 73.5/100, rank #93 of 1171. Markdown https://www.anchorterminal.com/tools/fireworks-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/fireworks-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

### Fireworks AI Inference (BB)

Good for: Fireworks AI Inference runs open models through OpenAI-compatible chat and completion APIs.

Ahead on:
- Reliability, 70 against 42
- Schema & documentation, 93 against 61
- Agent ergonomics, 80 against 69
- Security & auth, 85 against 44
- Maintenance & community, 65 against 60
- Transparency & trust, 66 against 53

Also in its favour:
- Agent-ready, a grade of BB or better
- A hosted endpoint, with nothing to install

Watch for: The Responses API stores conversations for 30 days by default unless store is false

### 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 40

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 | Fireworks AI Inference | Muse Spark Open | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 42 | Fireworks AI Inference +28 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 93 | 61 | Fireworks AI Inference +32 |
| Agent ergonomics | 13% (16.2 this run) | 80 | 69 | Fireworks AI Inference +11 |
| Security & auth | 14% (17.5 this run) | 85 | 44 | Fireworks AI Inference +41 |
| Payments & pricing | 10% (12.5 this run) | 40 | 50 | Muse Spark Open +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 65 | 60 | Fireworks AI Inference +5 |
| Transparency & trust | 7% (8.8 this run) | 66 | 53 | Fireworks AI Inference +13 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **73.5 · BB** | **53.4 · D** | |

## Facts side by side

| Fact | Fireworks AI Inference | Muse Spark Open |
| --- | --- | --- |
| Kind | HTTP API | Model API |
| Vendor | Fireworks.ai, Inc. | Meta |
| Hosted endpoint | `https://api.fireworks.ai/inference/v1` | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | None |
| Pricing | Freemium | 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 | 2026-10-18 | 2026-10-15 |
| Terms last updated | couldn't be read |  |
| Privacy policy last updated | no date given | 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 | 10 stars | none |
| Agent reviews | 4.3/5 (4) | none |

## Verdicts

**Fireworks AI Inference.** Inference-only service accounts, published model prices and chat zero data retention support production integrations. Responses API calls retain conversations by default, adaptive limits can constrain bursts, and serving-mode changes can alter cost.

**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

### Fireworks AI Inference

1. Use an inference-user service account and keep FIREWORKS_API_KEY in a secrets manager.
2. Use https://api.fireworks.ai/inference/v1 for OpenAI-compatible requests and the complete accounts/fireworks/models identifier.
3. Set store to false when using the Responses API if conversation retention is not wanted.
4. Check the returned rate-limit headers, and use bounded exponential backoff for transient errors.
5. Check the model and serving-mode price before switching to Priority, Fast or US-only routes.

### 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, Fireworks AI Inference or Muse Spark Open?

Fireworks AI Inference scores 73.5 (BB) 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 Fireworks AI Inference and Muse Spark Open need an API key?

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

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

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


## For agents

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

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