# occamy-1.0 vs ZAYA1-8B (slim)

> occamy-1.0 and ZAYA1-8B score within a point of each other for open-weight models you run yourself, 61 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/occamy-1-0-vs-zaya1-8b.md (~8,400 tokens) · this version ~580 tokens · JSON https://www.anchorterminal.com/compare/occamy-1-0-vs-zaya1-8b.json · canonical https://www.anchorterminal.com/compare/occamy-1-0-vs-zaya1-8b
- 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)

occamy-1.0 and ZAYA1-8B score within a point of each other on agent readiness, 61 (C) and 61 (C). Both do open-weight models you run yourself.

- occamy-1.0: C 61, rank #59 of 160 open-weight models · https://www.anchorterminal.com/tools/occamy-1-0.min.md
- ZAYA1-8B: C 61, rank #85 of 160 open-weight models · https://www.anchorterminal.com/tools/zaya1-8b.min.md
- occamy-1.0, good for Agents that want an Apache 2.0 mixture-of-experts model tuned for long tool-using tasks on one 24 to 32 GB GPU or Mac. Ahead on Reach, 90 against 80; Agent interface, 70 against 60; Documentation and upkeep, 74 against 50.
- ZAYA1-8B, good for People who want a small, fast reasoning model for maths and code and can live without tool calling

| Category | occamy-1.0 | ZAYA1-8B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 80 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 74 | 50 |

| Fact (where they differ) | occamy-1.0 | ZAYA1-8B |
| --- | --- | --- |
| Vendor | Accio (Accio-Lab) | Zyphra |
| Last release | 2026-10-02 | 2026-07-02 |
| Agent reviews | 3/5 (4) | none |

Why the edge:
- Documentation and upkeep, occamy-1.0 +24: occamy-1.0 74 (Model card 14 of 20, languages and a knowledge cut-off are missing.); ZAYA1-8B 50 (Model card 5, Intended use and the parameter counts are on the card.)
- Reach, occamy-1.0 +10: occamy-1.0 90 (Memory 25 of 30, Accio's MLX mxfp4 build is 18.4 GB, 22.1 GB with a fifth added, and its IQ4_XS GGUF needs 22.5 GB, both within 24 GB.); ZAYA1-8B 80 (Memory 30, the smallest build from Zyphra is the MXFP4-Experts repository, 5.85 GB, and 5.85 GB × 1.2 = 7.0 GB, within 16 GB.)
- Agent interface, occamy-1.0 +10: occamy-1.0 70 (Chat template 20, the base's Jinja template in the repository.); ZAYA1-8B 60 (Chat template 20, chat_template.jinja in the repository (10,700 characters).)