# DeepSeek API vs Muse Ember (slim)

> Muse Ember scores 51.8 (D) to DeepSeek's 46.7 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/deepseek-api-vs-muse-ember.md (~5,700 tokens) · this version ~930 tokens · JSON https://www.anchorterminal.com/compare/deepseek-api-vs-muse-ember.json · canonical https://www.anchorterminal.com/compare/deepseek-api-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
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Muse Ember scores 51.8 (D) on agent readiness against DeepSeek API's 46.7 (D), and leads in 3 of 7 scored categories. DeepSeek API leads on reliability and transparency & trust. Both do llm inference.

- DeepSeek API: D 46.7, rank #1172 of 1515 · https://www.anchorterminal.com/tools/deepseek-api.min.md
- Muse Ember: D 51.8, rank #1017 of 1515 · https://www.anchorterminal.com/tools/muse-ember.min.md
- DeepSeek API, good for Low-cost long-context work on public data, and off-peak batch-style jobs run through the normal API. Ahead on Reliability, 60 against 40; Transparency & trust, 65 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. Ahead on Schema & documentation, 60 against 49; Security & auth, 64 against 35. Also No incidents deducted, where DeepSeek API loses 3 points for them.

| Category | DeepSeek API | Muse Ember |
| --- | --- | --- |
| Reliability (16%) | 60 | 40 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 49 | 60 |
| Agent ergonomics (13%) | 70 | 72 |
| Security & auth (14%) | 35 | 64 |
| Payments & pricing (10%) | 20 | 20 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 46 | 46 |
| Transparency & trust (7%) | 65 | 53 |

| Fact (where they differ) | DeepSeek API | Muse Ember |
| --- | --- | --- |
| Vendor | DeepSeek | Meta |
| Hosted endpoint | `https://api.deepseek.com` | `https://api.meta.ai/v1` |
| Transports | HTTP |  |
| Licence | none | 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 |
| llms.txt | no | yes |
| Last release | 2026-10-17 | 2026-11-09 |
| Terms last updated | couldn't be read | 2026-10-02 |
| 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 |
| Agent reviews | 2/5 (2) | none |

Why the edge:
- Security & auth, Muse Ember +29: DeepSeek API 35 (Per the 17 October check, not re-read on 5 November (DeepSeek's terms bar automated access, so nothing on DeepSeek's hosts was requested).); Muse Ember 64 (Platform readings are the meta-model-api listing's of 4 November.)
- Reliability, DeepSeek API +20: DeepSeek API 60 (Per the 17 October check, not re-read on 5 November (DeepSeek's terms bar automated access, so nothing on DeepSeek's hosts was requested).); Muse Ember 40 (Model reading, for the surface it's called on, Meta Model API.)
- Transparency & trust, DeepSeek API +12: DeepSeek API 65 (Per the 17 October check, not re-read on 5 November (DeepSeek's terms bar automated access, so nothing on DeepSeek's hosts was requested).); Muse Ember 53 (Editorial half.)
- Schema & documentation, Muse Ember +11: DeepSeek API 49 (Per the 17 October check, not re-read on 5 November (DeepSeek's terms bar automated access, so nothing on DeepSeek's hosts was requested).); Muse Ember 60 (Model reading.)