# DeepInfra vs Muse Spark Open (slim)

> DeepInfra scores 63 (B) to Muse Spark Open's 53.4 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/deepinfra-vs-muse-spark-open.md (~3,000 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/deepinfra-vs-muse-spark-open.json · canonical https://www.anchorterminal.com/compare/deepinfra-vs-muse-spark-open
- 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

DeepInfra scores 63 (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.

- DeepInfra: B 63, rank #442 of 1095 · https://www.anchorterminal.com/tools/deepinfra.min.md
- Muse Spark Open: D 53.4, rank #760 of 1095 · https://www.anchorterminal.com/tools/muse-spark-open.min.md
- DeepInfra, good for Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens. Ahead on Reliability, 70 against 42; Schema & documentation, 69 against 61; Agent ergonomics, 77 against 69; Security & auth, 64 against 44; Maintenance & community, 65 against 60; Transparency & trust, 67 against 53. Also A hosted endpoint, with nothing to install.
- 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 Payments & pricing, 50 against 20. Also No key needed to call it.

| Category | DeepInfra | Muse Spark Open |
| --- | --- | --- |
| Reliability (16%) | 70 | 42 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 69 | 61 |
| Agent ergonomics (13%) | 77 | 69 |
| Security & auth (14%) | 64 | 44 |
| Payments & pricing (10%) | 20 | 50 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 65 | 60 |
| Transparency & trust (7%) | 67 | 53 |

| Fact (where they differ) | DeepInfra | Muse Spark Open |
| --- | --- | --- |
| Vendor | Deep Infra Inc. | Meta |
| Hosted endpoint | `https://api.deepinfra.com/v1/openai` | no (local only) |
| Auth | API key | None |
| Pricing | Pay per use | Free |
| Licence | Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT | 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 |
| Last release | 2026-10-07 | 2026-10-15 |
| Terms last updated | 2026-08-17 |  |
| Privacy policy last updated | 2026-08-15 | no document linked |
| Customer content may train models | not found in the text |  |
| Terms restrict automated access | not found in the text |  |
| Terms restrict benchmarking | yes |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | yes |  |
| Popularity | 21 stars, 1.2k npm/wk, 50 PyPI/wk | none |