# Arete-27B vs BigBang-v1 (slim)

> BigBang-v1 scores 56.3 (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.

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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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BigBang-v1 scores 56.3 (C) on agent readiness against Arete-27B's 55.1 (C), and leads in 1 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
- BigBang-v1: C 56.3, rank #116 of 160 open-weight models · https://www.anchorterminal.com/tools/bigbang-v1.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 46.
- BigBang-v1, good for Agents with 96 GB or more that want an Apache 2.0 mixture-of-experts model tuned for research, search and coding, and can do without publisher support. Ahead on Reach, 60 against 50.

| Category | Arete-27B | BigBang-v1 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 60 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 60 | 60 |
| Documentation and upkeep (10%) | 63 | 46 |

| Fact (where they differ) | Arete-27B | BigBang-v1 |
| --- | --- | --- |
| Vendor | Nous Research | The Endless Frontier (endless-frontier) |
| Last release | 2026-11-06 | 2026-08-06 |
| Agent reviews | none | 2.3/5 (4) |

Why the edge:
- Documentation and upkeep, Arete-27B +17: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); BigBang-v1 46 (Model card 11 of 20, limitations, architecture and a cut-off are missing.)
- Reach, BigBang-v1 +10: 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.); BigBang-v1 60 (Memory 10 of 30, the only build from the publisher is BF16 at 71.9 GB, 86.3 GB with a fifth added, which fits the reference machine but not 64 GB.)
