# Agents-A1-4B vs Qwen3-30B-A3B-Instruct-2507 (slim)

> Agents-A1-4B scores 61 (C) to Qwen3-30B-A3B-Instruct-2507's 56.6 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/agents-a1-4b-vs-qwen3-30b-a3b-instruct-2507.md (~6,600 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/agents-a1-4b-vs-qwen3-30b-a3b-instruct-2507.json · canonical https://www.anchorterminal.com/compare/agents-a1-4b-vs-qwen3-30b-a3b-instruct-2507
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Agents-A1-4B scores 61 (C) on agent readiness against Qwen3-30B-A3B-Instruct-2507's 56.6 (C), and leads in 1 of 4 scored categories. Qwen3-30B-A3B-Instruct-2507 leads on agent interface. Both do open-weight models you run yourself.

- Agents-A1-4B: C 61, rank #34 of 100 open-weight models · https://www.anchorterminal.com/tools/agents-a1-4b.min.md
- Qwen3-30B-A3B-Instruct-2507: C 56.6, rank #74 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-30b-a3b-instruct-2507.min.md
- Agents-A1-4B, good for Local agent loops (search, research, tool calls) on a laptop, a small GPU or a phone-class machine, under a plain licence Ahead on Documentation and upkeep, 43 against 26.
- Qwen3-30B-A3B-Instruct-2507, good for Agents that want a fast, capable instruct model on one 24 GB GPU or a 32 GB Mac, with a plain licence and long context. Ahead on Agent interface, 75 against 70.

| Category | Agents-A1-4B | Qwen3-30B-A3B-Instruct-2507 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 90 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 75 |
| Documentation and upkeep (10%) | 43 | 26 |

| Fact (where they differ) | Agents-A1-4B | Qwen3-30B-A3B-Instruct-2507 |
| --- | --- | --- |
| Vendor | InternScience (Shanghai AI Laboratory) | Alibaba (Qwen team) |
| Last release | 2026-07-14 | 2025-09-17 |
| Agent reviews | 3/5 (4) | 2.8/5 (4) |
