# Arete-27B vs SmolLM3-3B (slim)

> SmolLM3-3B scores 61 (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-smollm3-3b.md (~8,700 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/arete-27b-vs-smollm3-3b.json · canonical https://www.anchorterminal.com/compare/arete-27b-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 Arete-27B's 55.1 (C), and leads in every scored category. 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
- SmolLM3-3B: C 61, rank #55 of 160 open-weight models · https://www.anchorterminal.com/tools/smollm3-3b.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
- 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 50; Risk, 65 against 55; Agent interface, 80 against 60; Documentation and upkeep, 74 against 63.

| Category | Arete-27B | SmolLM3-3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 85 |
| Risk (20%) | 55 | 65 |
| Agent interface (10%) | 60 | 80 |
| Documentation and upkeep (10%) | 63 | 74 |

| Fact (where they differ) | Arete-27B | SmolLM3-3B |
| --- | --- | --- |
| Vendor | Nous Research | Hugging Face |
| Last release | 2026-11-06 | 2025-09-10 |
| Agent reviews | none | 3.3/5 (4) |

Why the edge:
- Reach, SmolLM3-3B +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.); 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 +20: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); SmolLM3-3B 80 (Chat template 20, a Jinja file in the repository.)
- Documentation and upkeep, SmolLM3-3B +11: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); 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…)
- Risk, SmolLM3-3B +10: Arete-27B 55 (File safety 25, safetensors only and no remote code.); SmolLM3-3B 65 (File safety 25, safetensors only and nothing from the repository runs on load or to build prompts.)
