Head to head · LLM inference · October 2026 research run
Fireworks AI Inference vs 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. Both do llm inference.
Best model APIs and inference for AI agents · All 407 models comparisons
Which one, for what
Best 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
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
- 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 this run | Fireworks AI Inference | Muse Spark Open | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 70 | 42 | Fireworks AI Inference +28 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 93 | 61 | Fireworks AI Inference +32 |
| Agent ergonomics | 13%16.2 | 80 | 69 | Fireworks AI Inference +11 |
| Security & auth | 14%17.5 | 85 | 44 | Fireworks AI Inference +41 |
| Payments & pricing | 10%12.5 | 40 | 50 | Muse Spark Open +10 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 65 | 60 | Fireworks AI Inference +5 |
| Transparency & trust | 7%8.8 | 66 | 53 | Fireworks AI Inference +13 |
| Negative events | ≤15 | 0 | 0 | |
| Total | BB 73.5/100 | D 53.4/100 |
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
- Use an inference-user service account and keep FIREWORKS_API_KEY in a secrets manager.
- Use https://api.fireworks.ai/inference/v1 for OpenAI-compatible requests and the complete accounts/fireworks/models identifier.
- Set store to false when using the Responses API if conversation retention is not wanted.
- Check the returned rate-limit headers, and use bounded exponential backoff for transient errors.
- Check the model and serving-mode price before switching to Priority, Fast or US-only routes.
Muse Spark Open
- 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 - Set
reasoning_efforttolowormediumfor short tasks. The default isxhigh, reasoning can't be turned off, and other values return an error - Stop only on
<|eot|>and end of text. Stopping on<|eom|>cuts off tool calls and final answers - Stream long generations and leave
max_tokensroom for reasoning, orcontentcan come back empty withfinish_reasonlength - 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.
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Machine-readable
- This page as Markdown
/compare/fireworks-inference-vs-muse-spark-open.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/fireworks-inference.json·/api/v1/tools/muse-spark-open.json - From a terminal
anchor compare fireworks-inference muse-spark-open(the CLI) - Over MCP
compare_tools {"a": "fireworks-inference", "b": "muse-spark-open"}at/mcp, no key