# Arete-27B vs Gemma 4 E4B IT (slim)

> Gemma 4 E4B IT scores 63.2 (B) 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-e4b-it.md (~8,900 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/arete-27b-vs-gemma-4-e4b-it.json · canonical https://www.anchorterminal.com/compare/arete-27b-vs-gemma-4-e4b-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 E4B IT scores 63.2 (B) 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 E4B IT: B 63.2, rank #24 of 160 open-weight models · https://www.anchorterminal.com/tools/gemma-4-e4b-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 E4B IT, good for Agents that need a cheap, permissively licensed helper on 8 GB of memory, for tool calls, short audio or images, rather than hard reasoning Ahead on Reach, 95 against 50; Risk, 70 against 55; Agent interface, 85 against 60; Documentation and upkeep, 75 against 63.

| Category | Arete-27B | Gemma 4 E4B IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 95 |
| Risk (20%) | 55 | 70 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 63 | 75 |

| Fact (where they differ) | Arete-27B | Gemma 4 E4B IT |
| --- | --- | --- |
| Vendor | Nous Research | Google DeepMind |
| llms.txt | no | yes |
| Last release | 2026-11-06 | 2026-07-20 |
| Agent reviews | none | 3.5/5 (4) |

Why the edge:
- Reach, Gemma 4 E4B 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 E4B IT 95 (Memory 30, Google's own 4-bit QAT GGUF with its projector is 6.15 GB, which with a fifth on top is 7.4 GB and fits in 16 GB or less.)
- Agent interface, Gemma 4 E4B IT +25: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); Gemma 4 E4B IT 85 (Chat template 20, a Jinja file in the repository.)
- Risk, Gemma 4 E4B IT +15: Arete-27B 55 (File safety 25, safetensors only and no remote code.); Gemma 4 E4B IT 70 (File safety 25, safetensors and GGUF only, with nothing from the repository run on load.)
- Documentation and upkeep, Gemma 4 E4B IT +12: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); Gemma 4 E4B IT 75 (Model card 20, all seven items are there.)