# Cola2 vs occamy-1.0 (slim)

> occamy-1.0 scores 61 (C) to Cola2's 33.9 (F) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/cola2-vs-occamy-1-0.md (~8,450 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/cola2-vs-occamy-1-0.json · canonical https://www.anchorterminal.com/compare/cola2-vs-occamy-1-0
- 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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occamy-1.0 scores 61 (C) on agent readiness against Cola2's 33.9 (F), and leads in every scored category. Both do open-weight models you run yourself.

- Cola2: F 33.9, rank #160 of 160 open-weight models · https://www.anchorterminal.com/tools/cola2.min.md
- occamy-1.0: C 61, rank #59 of 160 open-weight models · https://www.anchorterminal.com/tools/occamy-1-0.min.md
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study
- 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 25; Risk, 55 against 40; Agent interface, 70 against 20; Documentation and upkeep, 74 against 58.

| Category | Cola2 | occamy-1.0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 90 |
| Risk (20%) | 40 | 55 |
| Agent interface (10%) | 20 | 70 |
| Documentation and upkeep (10%) | 58 | 74 |

| Fact (where they differ) | Cola2 | occamy-1.0 |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | Accio (Accio-Lab) |
| Licence | None stated for the weights (the code is Apache 2.0) | Apache-2.0 |
| Last release | 2026-11-06 | 2026-10-02 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Reach, occamy-1.0 +65: Cola2 25 (Memory 15, the only build is the F32 safetensors set, 35.07 GB, and 35.07 GB × 1.2 = 42.1 GB, within 64 GB.); 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.)
- Agent interface, occamy-1.0 +50: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); occamy-1.0 70 (Chat template 20, the base's Jinja template in the repository.)
- Documentation and upkeep, occamy-1.0 +16: Cola2 58 (Model card 8, Intended use and limitations (the out-of-scope list, and the unconverged latent model) and the architecture are on the card and the GitHub model c…); occamy-1.0 74 (Model card 14 of 20, languages and a knowledge cut-off are missing.)
- Risk, occamy-1.0 +15: Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); occamy-1.0 55 (File safety 25, safetensors only and nothing from the repository runs to load it or build prompts.)