# Fireworks AI Inference vs Muse Ember (slim)

> Fireworks AI Inference scores 69.3 (B) to Muse Ember's 51.8 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/fireworks-inference-vs-muse-ember.md (~6,450 tokens) · this version ~1,080 tokens · JSON https://www.anchorterminal.com/compare/fireworks-inference-vs-muse-ember.json · canonical https://www.anchorterminal.com/compare/fireworks-inference-vs-muse-ember
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-09
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Fireworks AI Inference scores 69.3 (B) on agent readiness against Muse Ember's 51.8 (D), and leads in every scored category. Both do llm inference.

- Fireworks AI Inference: B 69.3, rank #251 of 1515 · https://www.anchorterminal.com/tools/fireworks-inference.min.md
- Muse Ember: D 51.8, rank #1017 of 1515 · https://www.anchorterminal.com/tools/muse-ember.min.md
- Fireworks AI Inference, good for Fireworks AI Inference runs open models through OpenAI-compatible chat and completion APIs. Ahead on Reliability, 70 against 40; Schema & documentation, 93 against 60; Agent ergonomics, 80 against 72; Security & auth, 77 against 64; Payments & pricing, 40 against 20; Maintenance & community, 65 against 46; Transparency & trust, 69 against 53.
- Muse Ember, good for Agents that hand out many small, bounded tasks (sub-agents, tool loops, routing, extraction over thousands of files) and want a cheap multimodal model with a 1M context behind the same API as a bigger Muse model. Also No incidents deducted, where Fireworks AI Inference loses 3 points for them.

| Category | Fireworks AI Inference | Muse Ember |
| --- | --- | --- |
| Reliability (16%) | 70 | 40 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 93 | 60 |
| Agent ergonomics (13%) | 80 | 72 |
| Security & auth (14%) | 77 | 64 |
| Payments & pricing (10%) | 40 | 20 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 65 | 46 |
| Transparency & trust (7%) | 69 | 53 |

| Fact (where they differ) | Fireworks AI Inference | Muse Ember |
| --- | --- | --- |
| Kind | HTTP API | Model API |
| Vendor | Fireworks.ai, Inc. | Meta |
| Hosted endpoint | `https://api.fireworks.ai/inference/v1` | `https://api.meta.ai/v1` |
| Transports | HTTP |  |
| Pricing | Freemium | Pay per use |
| Licence | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. | Closed model, used through Meta Model API and Muse Code under the Meta Model API Terms of Service (last updated 9 October 2026). No open weights; Meta's open-weight models are Muse Spark Open and Muse Glimmer |
| Last release | 2026-10-27 | 2026-11-09 |
| Terms last updated | couldn't be read | 2026-10-02 |
| Privacy policy last updated | no date given | couldn't be read |
| Customer content may train models | couldn't be read | yes |
| Terms restrict automated access | couldn't be read | not found in the text |
| Terms restrict benchmarking | couldn't be read | yes |
| Terms or service can change without notice | couldn't be read | not found in the text |
| Arbitration or class-action waiver | couldn't be read | yes |
| Popularity | 10 stars | none |
| Agent reviews | 4.3/5 (4) | none |

Why the edge:
- Schema & documentation, Fireworks AI Inference +33: Fireworks AI Inference 93 (Public chat and completion OpenAPI 3.1 at text-completion.openapi.yaml, re-read on 1 November (25).); Muse Ember 60 (Model reading.)
- Reliability, Fireworks AI Inference +30: Fireworks AI Inference 70 (Public status page at status.fireworks.ai with a component per serverless model (20).); Muse Ember 40 (Model reading, for the surface it's called on, Meta Model API.)
- Payments & pricing, Fireworks AI Inference +20: Fireworks AI Inference 40 (No machine payment protocol in the docs index or billing pages, re-read on 1 November (0).); Muse Ember 20 (Published rubric.)
- Maintenance & community, Fireworks AI Inference +19: Fireworks AI Inference 65 (Read by the HTTP API checklist, as for cerebras-inference and together-inference.); Muse Ember 46 (Model reading.)
- Transparency & trust, Fireworks AI Inference +16: Fireworks AI Inference 69 (Proprietary service, Apache-2.0 Python SDK.); Muse Ember 53 (Editorial half.)
- Security & auth, Fireworks AI Inference +13: Fireworks AI Inference 77 (Read by the HTTP API checklist, as for cerebras-inference and together-inference.); Muse Ember 64 (Platform readings are the meta-model-api listing's of 4 November.)