# Arete-27B vs DiffusionGemma 26B A4B IT (slim)

> Arete-27B scores 55.1 (C) to DiffusionGemma 26B A4B IT's 51.3 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- 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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Arete-27B scores 55.1 (C) on agent readiness against DiffusionGemma 26B A4B IT's 51.3 (D), and leads in 1 of 4 scored categories. DiffusionGemma 26B A4B IT leads on reach, risk and agent interface. 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
- DiffusionGemma 26B A4B IT: D 51.3, rank #143 of 160 open-weight models · https://www.anchorterminal.com/tools/diffusiongemma-26b-a4b-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
- DiffusionGemma 26B A4B IT, good for Agents with about 64 GB of GPU memory that want fast single-user generation from text and images and can accept lower quality than Gemma 4 Ahead on Reach, 55 against 50; Risk, 70 against 55; Agent interface, 70 against 60.

| Category | Arete-27B | DiffusionGemma 26B A4B IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 55 |
| Risk (20%) | 55 | 70 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 63 | 60 |

| Fact (where they differ) | Arete-27B | DiffusionGemma 26B A4B IT |
| --- | --- | --- |
| Vendor | Nous Research | Google DeepMind |
| llms.txt | no | yes |
| Last release | 2026-11-06 | 2026-07-15 |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Risk, DiffusionGemma 26B A4B IT +15: Arete-27B 55 (File safety 25, safetensors only and no remote code.); DiffusionGemma 26B A4B IT 70 (File safety gets the full 25, safetensors only and loaded by Transformers' own code and a Jinja template.)
- Agent interface, DiffusionGemma 26B A4B IT +10: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); DiffusionGemma 26B A4B IT 70 (The chat template is in the repository (20) and handles several tool calls in one turn, and the card names function calling as trained (20).)
- Reach, DiffusionGemma 26B A4B IT +5: 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.); DiffusionGemma 26B A4B IT 55 (Memory earns 15 because the only Google build is 51.7 GB of BF16, about 62 GB with the fifth added, which needs the 64 GB band.)