# Qwen-AgentWorld-35B-A3B vs Qwen3-VL-32B-Instruct (slim)

> Qwen3-VL-32B-Instruct scores 56.4 (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-qwen3-vl-32b-instruct.md (~10,200 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-qwen3-vl-32b-instruct.json · canonical https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-qwen3-vl-32b-instruct
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Qwen3-VL-32B-Instruct scores 56.4 (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 documentation and upkeep. 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
- Qwen3-VL-32B-Instruct: C 56.4, rank #115 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-32b-instruct.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 Documentation and upkeep, 41 against 31.
- Qwen3-VL-32B-Instruct, good for An agent with a 32 GB GPU or more that wants the largest dense Qwen3-VL model for images, documents and video Ahead on Reach, 85 against 55; Agent interface, 60 against 50.

| Category | Qwen-AgentWorld-35B-A3B | Qwen3-VL-32B-Instruct |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 85 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 50 | 60 |
| Documentation and upkeep (10%) | 41 | 31 |

| Fact (where they differ) | Qwen-AgentWorld-35B-A3B | Qwen3-VL-32B-Instruct |
| --- | --- | --- |
| Last release | 2026-06-25 | 2025-11-01 |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Reach, Qwen3-VL-32B-Instruct +30: 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.); Qwen3-VL-32B-Instruct 85 (Alibaba's own Q4_K_M GGUF is 19.76 GB and 20.53 GB with the vision file it needs for images, so with a fifth added it needs about 25 GB and the 32 GB band (20).)
- Agent interface, Qwen3-VL-32B-Instruct +10: Qwen-AgentWorld-35B-A3B 50 (Chat template 20, chat_template.jinja in the repository, the same as the template in tokenizer_config.json.); Qwen3-VL-32B-Instruct 60 (A Jinja chat template in the repository (20).)
- Documentation and upkeep, Qwen-AgentWorld-35B-A3B +10: Qwen-AgentWorld-35B-A3B 41 (Model card 11, the card gives intended use (simulating agent environments), architecture, parameters and context length.); Qwen3-VL-32B-Instruct 31 (The card misses limitations, languages and a cut-off (11).)