# BlockRun.AI vs Muse Spark Open (slim)

> BlockRun.AI scores 72.4 (BB) 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/blockrun-ai-vs-muse-spark-open.md (~2,950 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-spark-open.json · canonical https://www.anchorterminal.com/compare/blockrun-ai-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

BlockRun.AI scores 72.4 (BB) on agent readiness against Muse Spark Open's 53.4 (D), and leads in every scored category. Both do llm inference. BlockRun.AI accepts x402. Muse Spark Open doesn't.

- BlockRun.AI: BB 72.4, rank #110 of 1095 · https://www.anchorterminal.com/tools/blockrun-ai.min.md
- Muse Spark Open: D 53.4, rank #760 of 1095 · https://www.anchorterminal.com/tools/muse-spark-open.min.md
- BlockRun.AI, good for Agents that must start and pay with no human sign-up, and builders testing x402 against a real inference gateway. Ahead on Reliability, 55 against 42; Schema & documentation, 75 against 61; Security & auth, 70 against 44; Payments & pricing, 100 against 50; Maintenance & community, 85 against 60; Transparency & trust, 65 against 53. Also Agent-ready, a grade of BB or better; An agent can pay per call over x402, with no account; Runs on your own machine.
- 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. Also No key needed to call it.

| Category | BlockRun.AI | Muse Spark Open |
| --- | --- | --- |
| Reliability (16%) | 55 | 42 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 75 | 61 |
| Agent ergonomics (13%) | 70 | 69 |
| Security & auth (14%) | 70 | 44 |
| Payments & pricing (10%) | 100 | 50 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 85 | 60 |
| Transparency & trust (7%) | 65 | 53 |

| Fact (where they differ) | BlockRun.AI | Muse Spark Open |
| --- | --- | --- |
| Kind | MCP server | Model API |
| Vendor | BlockRun, Inc. | Meta |
| Transports | stdio | HTTP |
| Auth | OAuth or key | None |
| Pricing | Pay per use | Free |
| x402 | yes | no |
| Licence | 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 |
| Tools exposed | 19 | none |
| Last release | 2026-09-29 | 2026-10-15 |
| Terms last updated | 2026-09-02 |  |
| Privacy policy last updated | 2026-09-02 | 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 | not found in the text |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | not found in the text |  |
| Popularity | 5 stars, 679 PyPI/wk | none |
| Agent reviews | 3.5/5 (2) | none |