# Cola2 vs ZAYA1-8B (slim)

> ZAYA1-8B 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-zaya1-8b.md (~8,500 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/cola2-vs-zaya1-8b.json · canonical https://www.anchorterminal.com/compare/cola2-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
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ZAYA1-8B scores 61 (C) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep. 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
- ZAYA1-8B: C 61, rank #85 of 160 open-weight models · https://www.anchorterminal.com/tools/zaya1-8b.min.md
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study Ahead on Documentation and upkeep, 58 against 50.
- ZAYA1-8B, good for People who want a small, fast reasoning model for maths and code and can live without tool calling Ahead on Reach, 80 against 25; Risk, 55 against 40; Agent interface, 60 against 20.

| Category | Cola2 | ZAYA1-8B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 80 |
| Risk (20%) | 40 | 55 |
| Agent interface (10%) | 20 | 60 |
| Documentation and upkeep (10%) | 58 | 50 |

| Fact (where they differ) | Cola2 | ZAYA1-8B |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | Zyphra |
| Licence | None stated for the weights (the code is Apache 2.0) | Apache-2.0 |
| Last release | 2026-11-06 | 2026-07-02 |

Why the edge:
- Reach, ZAYA1-8B +55: 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.); 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, ZAYA1-8B +40: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); ZAYA1-8B 60 (Chat template 20, chat_template.jinja in the repository (10,700 characters).)
- Risk, ZAYA1-8B +15: Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); ZAYA1-8B 55 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)
- Documentation and upkeep, Cola2 +8: 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…); ZAYA1-8B 50 (Model card 5, Intended use and the parameter counts are on the card.)