# Qwen-AgentWorld-35B-A3B vs Qwen3-Coder-Next (slim)

> Qwen3-Coder-Next scores 57.6 (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-coder-next.md (~9,900 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-qwen3-coder-next.json · canonical https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-qwen3-coder-next
- 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-Coder-Next scores 57.6 (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 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
- Qwen3-Coder-Next: C 57.6, rank #107 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-coder-next.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 50.
- Qwen3-Coder-Next, good for Agents that want a local coding model for long tool-calling loops on a single 64 GB to 128 GB machine. Ahead on Reach, 85 against 55; Agent interface, 75 against 50.

| Category | Qwen-AgentWorld-35B-A3B | Qwen3-Coder-Next |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 85 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 50 | 75 |
| Documentation and upkeep (10%) | 41 | 41 |

| Fact (where they differ) | Qwen-AgentWorld-35B-A3B | Qwen3-Coder-Next |
| --- | --- | --- |
| Last release | 2026-06-25 | 2026-02-03 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, Qwen3-Coder-Next +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-Coder-Next 85 (Memory earns 15 of 30, since Alibaba's own Q4_K_M GGUF is 48.4 GB, about 58 GB with a fifth added, inside the 64 GB band, and LM Studio's MLX and Ollama's build…)
- Agent interface, Qwen3-Coder-Next +25: Qwen-AgentWorld-35B-A3B 50 (Chat template 20, chat_template.jinja in the repository, the same as the template in tokenizer_config.json.); Qwen3-Coder-Next 75 (The template ships in the repository (20).)
- Risk, Qwen-AgentWorld-35B-A3B +5: Qwen-AgentWorld-35B-A3B 55 (File safety 25, 21 safetensors shards and no pickle or Python files, and config.json has no auto_map.); Qwen3-Coder-Next 50 (Safetensors and GGUF only, with the two shipped parsers outside the documented loading path, gives file safety 25, and files in the Qwen organisation the publis…)