# Qwen-AgentWorld-35B-A3B vs SmolLM3-3B (slim)

> SmolLM3-3B 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-smollm3-3b.md (~9,950 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-smollm3-3b.json · canonical https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-smollm3-3b
- 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)

SmolLM3-3B scores 61 (C) on agent readiness against Qwen-AgentWorld-35B-A3B's 52.1 (D), and leads in every scored category. 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
- SmolLM3-3B: C 61, rank #55 of 160 open-weight models · https://www.anchorterminal.com/tools/smollm3-3b.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
- SmolLM3-3B, good for Agents that want a small, fully transparent tool-calling cousin on a laptop, CPU or edge device Ahead on Reach, 85 against 55; Risk, 65 against 55; Agent interface, 80 against 50; Documentation and upkeep, 74 against 41.

| Category | Qwen-AgentWorld-35B-A3B | SmolLM3-3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 85 |
| Risk (20%) | 55 | 65 |
| Agent interface (10%) | 50 | 80 |
| Documentation and upkeep (10%) | 41 | 74 |

| Fact (where they differ) | Qwen-AgentWorld-35B-A3B | SmolLM3-3B |
| --- | --- | --- |
| Vendor | Alibaba (Qwen team) | Hugging Face |
| Last release | 2026-06-25 | 2025-09-10 |
| Agent reviews | none | 3.3/5 (4) |

Why the edge:
- Documentation and upkeep, SmolLM3-3B +33: Qwen-AgentWorld-35B-A3B 41 (Model card 11, the card gives intended use (simulating agent environments), architecture, parameters and context length.); SmolLM3-3B 74 (Model card 14, it covers limitations, architecture, parameters, context and languages but has no intended-use section and leaves the June 2025 cut-off to the ch…)
- Reach, SmolLM3-3B +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.); SmolLM3-3B 85 (Memory 30, the smallest 4-bit build Hugging Face publishes is its own ONNX q4f16 at 2.1 GB, about 2.5 GB with the fifth added, and the full BF16 files that the…)
- Agent interface, SmolLM3-3B +30: Qwen-AgentWorld-35B-A3B 50 (Chat template 20, chat_template.jinja in the repository, the same as the template in tokenizer_config.json.); SmolLM3-3B 80 (Chat template 20, a Jinja file in the repository.)
- Risk, SmolLM3-3B +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.); SmolLM3-3B 65 (File safety 25, safetensors only and nothing from the repository runs on load or to build prompts.)