# Arete-27B vs Qwen3-Coder-Next (slim)

> Qwen3-Coder-Next scores 57.6 (C) to Arete-27B's 55.1 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/arete-27b-vs-qwen3-coder-next.md (~9,050 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/arete-27b-vs-qwen3-coder-next.json · canonical https://www.anchorterminal.com/compare/arete-27b-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
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Qwen3-Coder-Next scores 57.6 (C) on agent readiness against Arete-27B's 55.1 (C), and leads in 2 of 4 scored categories. Arete-27B leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- Arete-27B: C 55.1, rank #123 of 160 open-weight models · https://www.anchorterminal.com/tools/arete-27b.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
- Arete-27B, good for Agents that want Qwen3.8-27B's coding and tool use without its handling of politically sensitive topics, on a 24 GB card or a 128 GB machine Ahead on Risk, 55 against 50; Documentation and upkeep, 63 against 41.
- 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 50; Agent interface, 75 against 60.

| Category | Arete-27B | Qwen3-Coder-Next |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 85 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 60 | 75 |
| Documentation and upkeep (10%) | 63 | 41 |

| Fact (where they differ) | Arete-27B | Qwen3-Coder-Next |
| --- | --- | --- |
| Vendor | Nous Research | Alibaba (Qwen team) |
| Last release | 2026-11-06 | 2026-02-03 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, Qwen3-Coder-Next +35: Arete-27B 50 (Memory 10, the only build from Nous Research is the 54.7 GB BF16 release, which needs about 66 GB and fits the reference machine.); 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…)
- Documentation and upkeep, Arete-27B +22: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); Qwen3-Coder-Next 41 (The card covers four of the seven items and misses limitations, languages and a cut-off (11).)
- Agent interface, Qwen3-Coder-Next +15: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); Qwen3-Coder-Next 75 (The template ships in the repository (20).)
- Risk, Arete-27B +5: Arete-27B 55 (File safety 25, safetensors only and no remote code.); 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…)