# Agents-A1-4B vs Qwen3.5-122B-A10B (slim)

> Qwen3.5-122B-A10B scores 63.6 (B) to Agents-A1-4B's 61 (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-qwen3-5-122b-a10b.md (~6,200 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/agents-a1-4b-vs-qwen3-5-122b-a10b.json · canonical https://www.anchorterminal.com/compare/agents-a1-4b-vs-qwen3-5-122b-a10b
- 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)

Qwen3.5-122B-A10B scores 63.6 (B) on agent readiness against Agents-A1-4B's 61 (C), and leads in 0 of 4 scored categories. Agents-A1-4B 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
- Qwen3.5-122B-A10B: B 63.6, rank #22 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-122b-a10b.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 Reach, 90 against 80.
- Qwen3.5-122B-A10B, good for Agents with a 128 GB unified-memory machine or two large GPUs that want a capable vision-language model with a plain licence.

| Category | Agents-A1-4B | Qwen3.5-122B-A10B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 80 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 43 | 39 |

| Fact (where they differ) | Agents-A1-4B | Qwen3.5-122B-A10B |
| --- | --- | --- |
| Vendor | InternScience (Shanghai AI Laboratory) | Alibaba (Qwen team) |
| Last release | 2026-07-14 | 2026-02-24 |