# Qwen-AgentWorld-35B-A3B vs Qwen3-VL-4B-Instruct (slim)

> Qwen3-VL-4B-Instruct and Qwen-AgentWorld-35B-A3B score within a point of each other for open-weight models you run yourself, 52.6 and 52.1 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-qwen3-vl-4b-instruct.md (~10,000 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-qwen3-vl-4b-instruct.json · canonical https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-qwen3-vl-4b-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-4B-Instruct and Qwen-AgentWorld-35B-A3B score within a point of each other on agent readiness, 52.6 (D) and 52.1 (D). 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-4B-Instruct: D 52.6, rank #137 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-4b-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-4B-Instruct, good for An agent with 4 GB or more to spare that needs a local model to read images, documents and video Ahead on Reach, 95 against 55; Agent interface, 60 against 50.

| Category | Qwen-AgentWorld-35B-A3B | Qwen3-VL-4B-Instruct |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 95 |
| 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-4B-Instruct |
| --- | --- | --- |
| Last release | 2026-06-25 | 2025-11-01 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, Qwen3-VL-4B-Instruct +40: 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-4B-Instruct 95 (Alibaba's own Q4_K_M GGUF with its vision file is 2.95 GB, so with a fifth added it needs about 3.5 GB and fits well within 16 GB (30).)
- Agent interface, Qwen3-VL-4B-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-4B-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-4B-Instruct 31 (The card misses limitations, languages and a cut-off (11).)