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

> Agents-A1-4B scores 61 (C) to Qwen3-VL-30B-A3B-Instruct's 58 (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-vl-30b-a3b-instruct.md (~6,450 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/agents-a1-4b-vs-qwen3-vl-30b-a3b-instruct.json · canonical https://www.anchorterminal.com/compare/agents-a1-4b-vs-qwen3-vl-30b-a3b-instruct
- 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-VL-30B-A3B-Instruct's 58 (C), and leads in 2 of 4 scored categories. Qwen3-VL-30B-A3B-Instruct leads on reach. 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-VL-30B-A3B-Instruct: C 58, rank #68 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-30b-a3b-instruct.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 Agent interface, 70 against 60; Documentation and upkeep, 43 against 36.
- Qwen3-VL-30B-A3B-Instruct, good for An agent with 24 GB or more to spare that wants a faster, stronger local reader of images, documents and video than the 8B model Ahead on Reach, 95 against 90.

| Category | Agents-A1-4B | Qwen3-VL-30B-A3B-Instruct |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 95 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 43 | 36 |

| Fact (where they differ) | Agents-A1-4B | Qwen3-VL-30B-A3B-Instruct |
| --- | --- | --- |
| Vendor | InternScience (Shanghai AI Laboratory) | Alibaba (Qwen team) |
| Last release | 2026-07-14 | 2025-11-01 |