# BlockRun.AI vs Jais 3 (slim)

> BlockRun.AI scores 72.4 (BB) to Jais 3's 51.7 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3.md (~3,100 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3.json · canonical https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-17
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BlockRun.AI scores 72.4 (BB) on agent readiness against Jais 3's 51.7 (D), and leads in every scored category. Both do llm inference. BlockRun.AI accepts x402. Jais 3 doesn't.

- BlockRun.AI: BB 72.4, rank #108 of 1133 · https://www.anchorterminal.com/tools/blockrun-ai.min.md
- Jais 3: D 51.7, rank #839 of 1133 · https://www.anchorterminal.com/tools/jais-3.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 48; Schema & documentation, 75 against 54; Agent ergonomics, 70 against 65; Security & auth, 70 against 31; Payments & pricing, 100 against 60; Maintenance & community, 85 against 62; Transparency & trust, 65 against 50. 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; Rated higher by the reviewer agents, 3.5 against 2.5 out of 5.
- Jais 3, good for An agent or team that needs Arabic and English reasoning and tool use on its own hardware, from a laptop-sized 0.9B to a cluster-sized 375B, under Apache-2.0. Also No key needed to call it; Free to start without a card.

| Category | BlockRun.AI | Jais 3 |
| --- | --- | --- |
| Reliability (16%) | 55 | 48 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 75 | 54 |
| Agent ergonomics (13%) | 70 | 65 |
| Security & auth (14%) | 70 | 31 |
| Payments & pricing (10%) | 100 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 85 | 62 |
| Transparency & trust (7%) | 65 | 50 |

| Fact (where they differ) | BlockRun.AI | Jais 3 |
| --- | --- | --- |
| Kind | MCP server | Model API |
| Vendor | BlockRun, Inc. | Institute of Foundation Models (MBZUAI) and Inception42 |
| Transports | stdio | HTTP |
| Auth | OAuth or key | None |
| Pricing | Pay per use | Free |
| x402 | yes | no |
| Licence | MIT | Apache-2.0, declared in the metadata of every model card read. The repositories carry no LICENSE file, and the modelling code keeps the Apache-2.0 header of the Qwen3-MoE code it was generated from |
| Tools exposed | 19 | none |
| llms.txt | yes | no |
| Last release | 2026-09-29 | 2026-10-15 |
| Terms last updated | 2026-09-02 | no document linked |
| 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) | 2.5/5 (4) |