# Arete-27B vs Cosmos-Reason2-2B (slim)

> Cosmos-Reason2-2B scores 59.5 (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-cosmos-reason2-2b.md (~9,200 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/arete-27b-vs-cosmos-reason2-2b.json · canonical https://www.anchorterminal.com/compare/arete-27b-vs-cosmos-reason2-2b
- 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)

Cosmos-Reason2-2B scores 59.5 (C) on agent readiness against Arete-27B's 55.1 (C), and leads in 3 of 4 scored categories. Arete-27B leads on documentation and upkeep. 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
- Cosmos-Reason2-2B: C 59.5, rank #95 of 160 open-weight models · https://www.anchorterminal.com/tools/cosmos-reason2-2b.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 Documentation and upkeep, 63 against 39.
- Cosmos-Reason2-2B, good for Agents that need a small local model to reason over camera footage and images for robotics, driving or smart spaces Ahead on Reach, 65 against 50; Risk, 60 against 55; Agent interface, 65 against 60.

| Category | Arete-27B | Cosmos-Reason2-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 65 |
| Risk (20%) | 55 | 60 |
| Agent interface (10%) | 60 | 65 |
| Documentation and upkeep (10%) | 63 | 39 |

| Fact (where they differ) | Arete-27B | Cosmos-Reason2-2B |
| --- | --- | --- |
| Vendor | Nous Research | NVIDIA |
| Licence | Apache-2.0 | NVIDIA Open Model License (custom, commercial use allowed, not an OSI licence); built on Qwen3-VL-2B-Instruct under Apache 2.0 |
| Last release | 2026-11-06 | 2026-03-10 |
| Terms last updated | no document linked | 2025-10-24 |
| 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 | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Documentation and upkeep, Arete-27B +24: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); Cosmos-Reason2-2B 39 (The card misses languages and a cut-off (14).)
- Reach, Cosmos-Reason2-2B +15: 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.); Cosmos-Reason2-2B 65 (Memory earns the full 30 because the BF16 file is 4.9 GB, about 5.9 GB with the fifth added, though NVIDIA itself asks for 24 GB of GPU memory.)
- Risk, Cosmos-Reason2-2B +5: Arete-27B 55 (File safety 25, safetensors only and no remote code.); Cosmos-Reason2-2B 60 (File safety gets the full 25, one safetensors file loaded by Transformers' own code with a template, no remote code.)
- Agent interface, Cosmos-Reason2-2B +5: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); Cosmos-Reason2-2B 65 (A Jinja template ships as chat_template.json (20).)