# Arete-27B vs Qwen-AgentWorld-35B-A3B (slim)

> Arete-27B scores 55.1 (C) to Qwen-AgentWorld-35B-A3B's 52.1 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/arete-27b-vs-qwen-agentworld-35b-a3b.md (~9,200 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/arete-27b-vs-qwen-agentworld-35b-a3b.json · canonical https://www.anchorterminal.com/compare/arete-27b-vs-qwen-agentworld-35b-a3b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Arete-27B scores 55.1 (C) on agent readiness against Qwen-AgentWorld-35B-A3B's 52.1 (D), and leads in 2 of 4 scored categories. Qwen-AgentWorld-35B-A3B leads on reach. Both do open-weight models you run yourself.

- Arete-27B: C 55.1, rank #123 of 160 open-weight models · https://www.anchorterminal.com/tools/arete-27b.min.md
- Qwen-AgentWorld-35B-A3B: D 52.1, rank #141 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen-agentworld-35b-a3b.min.md
- Arete-27B, good for Agents that want Qwen3.8-27B's coding and tool use without its handling of politically sensitive topics, on a 24 GB card or a 128 GB machine Ahead on Agent interface, 60 against 50; Documentation and upkeep, 63 against 41.
- Qwen-AgentWorld-35B-A3B, good for Agent builders who want to train or test an agent against simulated tools, terminals, browsers and phones on a 128 GB machine Ahead on Reach, 55 against 50.

| Category | Arete-27B | Qwen-AgentWorld-35B-A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 55 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 60 | 50 |
| Documentation and upkeep (10%) | 63 | 41 |

| Fact (where they differ) | Arete-27B | Qwen-AgentWorld-35B-A3B |
| --- | --- | --- |
| Vendor | Nous Research | Alibaba (Qwen team) |
| Last release | 2026-11-06 | 2026-06-25 |

Why the edge:
- Documentation and upkeep, Arete-27B +22: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); Qwen-AgentWorld-35B-A3B 41 (Model card 11, the card gives intended use (simulating agent environments), architecture, parameters and context length.)
- Agent interface, Arete-27B +10: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); Qwen-AgentWorld-35B-A3B 50 (Chat template 20, chat_template.jinja in the repository, the same as the template in tokenizer_config.json.)
- Reach, Qwen-AgentWorld-35B-A3B +5: Arete-27B 50 (Memory 10, the only build from Nous Research is the 54.7 GB BF16 release, which needs about 66 GB and fits the reference machine.); Qwen-AgentWorld-35B-A3B 55 (Memory 10, Alibaba's only build is the BF16 safetensors, 69.32 GB, and 69.32 GB × 1.2 = 83.2 GB, above 64 GB and inside the reference machine's GPU share.)