# Qwen-AgentWorld-35B-A3B vs ThinkingCap (Qwen3.8 27B) (slim)

> ThinkingCap scores 61 (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/qwen-agentworld-35b-a3b-vs-thinkingcap-qwen3-8-27b.md (~10,600 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-thinkingcap-qwen3-8-27b.json · canonical https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-thinkingcap-qwen3-8-27b
- 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
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ThinkingCap (Qwen3.8 27B) scores 61 (C) on agent readiness against Qwen-AgentWorld-35B-A3B's 52.1 (D), and leads in 3 of 4 scored categories. Qwen-AgentWorld-35B-A3B leads on risk. Both do open-weight models you run yourself.

- 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
- ThinkingCap (Qwen3.8 27B): C 61, rank #58 of 160 open-weight models · https://www.anchorterminal.com/tools/thinkingcap-qwen3-8-27b.min.md
- 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 Risk, 55 against 45.
- ThinkingCap (Qwen3.8 27B), good for Small teams and individuals running Qwen3.8-27B for agent or reasoning work who want shorter thinking traces on one 24 GB GPU or Mac. Ahead on Reach, 75 against 55; Agent interface, 70 against 50; Documentation and upkeep, 53 against 41.

| Category | Qwen-AgentWorld-35B-A3B | ThinkingCap (Qwen3.8 27B) |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 75 |
| Risk (20%) | 55 | 45 |
| Agent interface (10%) | 50 | 70 |
| Documentation and upkeep (10%) | 41 | 53 |

| Fact (where they differ) | Qwen-AgentWorld-35B-A3B | ThinkingCap (Qwen3.8 27B) |
| --- | --- | --- |
| Vendor | Alibaba (Qwen team) | BottleCap AI |
| Licence | Apache-2.0 | PolyForm-Small-Business-1.0.0 |
| Last release | 2026-06-25 | 2026-10-06 |
| Privacy policy last updated | no document linked | 2026-01-21 |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Reach, ThinkingCap (Qwen3.8 27B) +20: 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.); ThinkingCap (Qwen3.8 27B) 75 (Memory 25 of 30, BottleCap's IQ4_XS GGUF is 15.5 GB, 18.6 GB with a fifth added, which fits 24 GB.)
- Agent interface, ThinkingCap (Qwen3.8 27B) +20: Qwen-AgentWorld-35B-A3B 50 (Chat template 20, chat_template.jinja in the repository, the same as the template in tokenizer_config.json.); ThinkingCap (Qwen3.8 27B) 70 (Chat template 20, the same Jinja template as Qwen3.8-27B, in the repository.)
- Documentation and upkeep, ThinkingCap (Qwen3.8 27B) +12: Qwen-AgentWorld-35B-A3B 41 (Model card 11, the card gives intended use (simulating agent environments), architecture, parameters and context length.); ThinkingCap (Qwen3.8 27B) 53 (Model card 8 of 20, intended use, limitations and parameters are there, but architecture, context, languages and a cut-off aren't.)
- Risk, Qwen-AgentWorld-35B-A3B +10: Qwen-AgentWorld-35B-A3B 55 (File safety 25, 21 safetensors shards and no pickle or Python files, and config.json has no auto_map.); ThinkingCap (Qwen3.8 27B) 45 (File safety 25, safetensors only and no code in the repository.)