# Arete-27B vs Gemma 4 31B IT (slim)

> Gemma 4 31B IT scores 74.1 (BB) 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-gemma-4-31b-it.md (~8,600 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/arete-27b-vs-gemma-4-31b-it.json · canonical https://www.anchorterminal.com/compare/arete-27b-vs-gemma-4-31b-it
- 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)

Gemma 4 31B IT scores 74.1 (BB) 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
- Gemma 4 31B IT: BB 74.1, rank #2 of 160 open-weight models · https://www.anchorterminal.com/tools/gemma-4-31b-it.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
- Gemma 4 31B IT, good for An agent with a 24 GB GPU or more that wants a dense multimodal cousin with tool calling under a plain licence Ahead on Reach, 95 against 50; Risk, 70 against 55; Agent interface, 85 against 60. Also Agent-ready, a grade of BB or better.

| Category | Arete-27B | Gemma 4 31B IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 95 |
| Risk (20%) | 55 | 70 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 63 | 65 |

| Fact (where they differ) | Arete-27B | Gemma 4 31B IT |
| --- | --- | --- |
| Vendor | Nous Research | Google DeepMind |
| llms.txt | no | yes |
| Last release | 2026-11-06 | 2026-07-20 |
| Agent reviews | none | 3.8/5 (4) |

Why the edge:
- Reach, Gemma 4 31B IT +45: 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.); Gemma 4 31B IT 95 (Memory 25, Google's own QAT Q4_0 GGUF is 17.7 GB, which with a fifth added comes to about 21 GB and fits a 24 GB card even with the vision projector.)
- Agent interface, Gemma 4 31B IT +25: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); Gemma 4 31B IT 85 (Chat template 20, a Jinja file in the repository.)
- Risk, Gemma 4 31B IT +15: Arete-27B 55 (File safety 25, safetensors only and no remote code.); Gemma 4 31B IT 70 (File safety 25, safetensors only and no code from the repository runs to load it or build prompts.)