# BlockRun.AI vs Jais 3

> 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.

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- Updated: 2026-10-17

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: grade BB, 72.4/100, rank #108 of 1133. Markdown https://www.anchorterminal.com/tools/blockrun-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json
- Jais 3: grade D, 51.7/100, rank #839 of 1133. Markdown https://www.anchorterminal.com/tools/jais-3.md · JSON https://www.anchorterminal.com/api/v1/tools/jais-3.json
- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md
- All 326 models comparisons: https://www.anchorterminal.com/compare/inference/index.md

## Which one, for what

### BlockRun.AI (BB)

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 in its favour:
- 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

Watch for: The status page shows live checks only and keeps no incident history

### Jais 3 (D)

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 in its favour:
- No key needed to call it
- Free to start without a card

Watch for: Every documented vLLM, SGLang, Transformers and MLX command passes `--trust-remote-code`, so the repository's Python runs on the host


## Score by category

| Category | Weight | BlockRun.AI | Jais 3 | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 55 | 48 | BlockRun.AI +7 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 75 | 54 | BlockRun.AI +21 |
| Agent ergonomics | 13% (16.2 this run) | 70 | 65 | BlockRun.AI +5 |
| Security & auth | 14% (17.5 this run) | 70 | 31 | BlockRun.AI +39 |
| Payments & pricing | 10% (12.5 this run) | 100 | 60 | BlockRun.AI +40 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 85 | 62 | BlockRun.AI +23 |
| Transparency & trust | 7% (8.8 this run) | 65 | 50 | BlockRun.AI +15 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **72.4 · BB** | **51.7 · D** | |

## Facts side by side

| Fact | BlockRun.AI | Jais 3 |
| --- | --- | --- |
| Kind | MCP server | Model API |
| Vendor | BlockRun, Inc. | Institute of Foundation Models (MBZUAI) and Inception42 |
| Hosted endpoint | no (local only) | no (local only) |
| 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 |
| Read-only variant documented | no | no |
| 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) |

## Verdicts

**BlockRun.AI.** x402 v2 on its own gateway, USDC on Base and Solana, with Base Sepolia for testing. The status page shows live checks only and keeps no incident history.

**Jais 3.** Jais 3 runs on the owner's hardware through OpenAI-compatible servers in vLLM and SGLang, with tool calls, three reasoning levels and a 512K context, from a 2.2 GB 0.9B model to a 758 GB 375B one. The weights download without sign-up under Apache-2.0, but every launch command trusts remote code, and no technical report or security contact is published.

## Before you call either

### BlockRun.AI

1. Fund a dedicated wallet with a small USDC balance. The balance is the spending cap
2. Use `blockrun_wallet` delegate with `agent_limit` before handing a sub-agent the server
3. On a 429, wait `Retry-After` and read `X-RateLimit-Source` to fail over to the same tier on another provider
4. Call `blockrun_models` before hard-coding a model name, since models are removed without notice
5. Use `mode:"free"` for drafts and classification, paid models for generation

### Jais 3

1. Start vLLM or SGLang with `--reasoning-parser k2_horizon`, and add `--tool-call-parser k2_horizon` (vLLM also `--enable-auto-tool-choice`) for tools, or tool calls come back as raw text
2. Pass `reasoning_effort` (`high`, `medium` or `low`) and `tool_call_format` inside `chat_template_kwargs`. Other values return a template error
3. Send each earlier assistant turn back with `reasoning_content` as a string, even an empty one. A missing or null thinking field makes the template raise an error
4. Send your own system message, or set `default_system_prompt` to an empty string. Without one the template inserts an identity prompt naming IFM, Inception42 and Cerebras
5. Budget at least 32,768 output tokens at `high` effort, which the cards recommend for every request

## Questions

### Which is better for AI agents, BlockRun.AI or Jais 3?

BlockRun.AI scores 72.4 (BB) on agent readiness against Jais 3's 51.7 (D), and leads in every scored category.

### Do BlockRun.AI and Jais 3 need an API key?

BlockRun.AI takes an API key or an OAuth sign-in. Jais 3 needs no key. An agent can also pay BlockRun.AI per call over x402, with no account.

### Can an agent call BlockRun.AI and Jais 3 without installing anything?

BlockRun.AI runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for Jais 3.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3.json, and with the fewest tokens: https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "blockrun-ai", "b": "jais-3"}`. From a terminal: `anchor compare blockrun-ai jais-3`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json and https://www.anchorterminal.com/api/v1/tools/jais-3.json

## Other comparisons with BlockRun.AI or Jais 3

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- [Claude API vs Jais 3](https://www.anchorterminal.com/compare/anthropic-api-vs-jais-3.md)
- [Antseed vs BlockRun.AI](https://www.anchorterminal.com/compare/antseed-vs-blockrun-ai.md)
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- [BlockRun.AI vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/blockrun-ai-vs-nemotron-3-5-super-vl.md)
- [BlockRun.AI vs Novita AI](https://www.anchorterminal.com/compare/blockrun-ai-vs-novita-ai.md)
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- [BlockRun.AI vs RouterPlus](https://www.anchorterminal.com/compare/blockrun-ai-vs-routerplus.md)
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- [BlockRun.AI vs Vercel AI Gateway](https://www.anchorterminal.com/compare/blockrun-ai-vs-vercel-ai-gateway.md)
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- [DeepInfra vs Jais 3](https://www.anchorterminal.com/compare/deepinfra-vs-jais-3.md)
- [DeepSeek API vs Jais 3](https://www.anchorterminal.com/compare/deepseek-api-vs-jais-3.md)
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- [Gemini Developer API vs Jais 3](https://www.anchorterminal.com/compare/gemini-api-vs-jais-3.md)
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