# Muse Spark Open vs SiliconFlow (slim)

> Muse Spark Open scores 53.4 (D) to SiliconFlow's 46.7 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/muse-spark-open-vs-siliconflow.md (~3,000 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/muse-spark-open-vs-siliconflow.json · canonical https://www.anchorterminal.com/compare/muse-spark-open-vs-siliconflow
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-15
- Licence: CC BY 4.0, credit Anchor Terminal (anchorterminal.com) and link this page when you pass anything on

Muse Spark Open scores 53.4 (D) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. Both do llm inference.

- Muse Spark Open: D 53.4, rank #760 of 1095 · https://www.anchorterminal.com/tools/muse-spark-open.min.md
- SiliconFlow: D 46.7, rank #921 of 1095 · https://www.anchorterminal.com/tools/siliconflow.min.md
- Muse Spark Open, 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 Reliability, 42 against 33; Agent ergonomics, 69 against 60; Security & auth, 44 against 39; Payments & pricing, 50 against 35; Maintenance & community, 60 against 47. Also No key needed to call it.
- SiliconFlow, good for Agents that want recent open-weight chat models, plus image, video and speech, behind one OpenAI-style key at low per-token prices, and can live without a status page or SLA. Also A hosted endpoint, with nothing to install.

| Category | Muse Spark Open | SiliconFlow |
| --- | --- | --- |
| Reliability (16%) | 42 | 33 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 61 | 65 |
| Agent ergonomics (13%) | 69 | 60 |
| Security & auth (14%) | 44 | 39 |
| Payments & pricing (10%) | 50 | 35 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 60 | 47 |
| Transparency & trust (7%) | 53 | 51 |

| Fact (where they differ) | Muse Spark Open | SiliconFlow |
| --- | --- | --- |
| Vendor | Meta | SiliconFlow Labs Pte. Ltd. |
| Hosted endpoint | no (local only) | `https://api.siliconflow.com/v1` |
| Auth | None | API key |
| Pricing | Free | Pay per use |
| 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 service under the SiliconFlow Terms of Use |
| Last release | 2026-10-15 | 2026-09-14 |
| 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 |  | yes |
| Terms restrict benchmarking |  | yes |
| Terms or service can change without notice |  | yes |
| Arbitration or class-action waiver |  | yes |
| Agent reviews | none | 2.5/5 (4) |