# Arete-27B vs Olmo 3 7B Think (slim)

> Arete-27B scores 55.1 (C) to Olmo 3 7B Think's 52.3 (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 Olmo 3 7B Think's 52.3 (D), and leads in 2 of 4 scored categories. Olmo 3 7B Think leads on reach and risk. 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
- Olmo 3 7B Think: D 52.3, rank #139 of 160 open-weight models · https://www.anchorterminal.com/tools/olmo-3-7b-think.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 Agent interface, 60 against 35; Documentation and upkeep, 63 against 52.
- Olmo 3 7B Think, good for Researchers and agents that want a small fully open reasoning model for maths and code, with its training data on hand Ahead on Reach, 75 against 50; Risk, 75 against 55.

| Category | Arete-27B | Olmo 3 7B Think |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 75 |
| Risk (20%) | 55 | 75 |
| Agent interface (10%) | 60 | 35 |
| Documentation and upkeep (10%) | 63 | 52 |

| Fact (where they differ) | Arete-27B | Olmo 3 7B Think |
| --- | --- | --- |
| Vendor | Nous Research | Ai2 (Allen Institute for AI) |
| Licence | Apache-2.0 | Apache-2.0, with Ai2's Responsible Use Guidelines named on the card |
| Last release | 2026-11-06 | 2026-06-25 |
| Terms last updated | no document linked | 2024-09-25 |
| Privacy policy last updated | no document linked | 2025-02-19 |
| Customer content may train models | not read yet | yes |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | yes |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, Olmo 3 7B Think +25: 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.); Olmo 3 7B Think 75 (Memory earns the full 30, since Ollama's 4-bit build is 4.5 GB and fits 8 GB (per the 21 October check of Ollama's library).)
- Agent interface, Arete-27B +25: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); Olmo 3 7B Think 35 (The chat template earns 20 for chat_template.jinja in the repository.)
- Risk, Olmo 3 7B Think +20: Arete-27B 55 (File safety 25, safetensors only and no remote code.); Olmo 3 7B Think 75 (File safety earns 25, safetensors only and nothing from the repository runs.)
- Documentation and upkeep, Arete-27B +11: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); Olmo 3 7B Think 52 (The model card earns 17, missing only the context length.)