# Hy3 vs ZAYA1-8B (slim)

> Hy3 scores 62.6 (B) to ZAYA1-8B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/hy3-vs-zaya1-8b.md (~8,600 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/hy3-vs-zaya1-8b.json · canonical https://www.anchorterminal.com/compare/hy3-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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Hy3 scores 62.6 (B) on agent readiness against ZAYA1-8B's 61 (C), and leads in 3 of 4 scored categories. ZAYA1-8B leads on reach. Both do open-weight models you run yourself.

- Hy3: B 62.6, rank #28 of 160 open-weight models · https://www.anchorterminal.com/tools/hy3.min.md
- ZAYA1-8B: C 61, rank #85 of 160 open-weight models · https://www.anchorterminal.com/tools/zaya1-8b.min.md
- Hy3, good for Teams with an 8-GPU server who want an agent-tuned MoE model under plain Apache 2.0 Ahead on Risk, 60 against 55; Agent interface, 75 against 60; Documentation and upkeep, 56 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 70.

| Category | Hy3 | ZAYA1-8B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 70 | 80 |
| Risk (20%) | 60 | 55 |
| Agent interface (10%) | 75 | 60 |
| Documentation and upkeep (10%) | 56 | 50 |

| Fact (where they differ) | Hy3 | ZAYA1-8B |
| --- | --- | --- |
| Vendor | Tencent (Hy team) | Zyphra |
| Last release | 2026-07-20 | 2026-07-02 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Agent interface, Hy3 +15: Hy3 75 (The chat template earns 20, a chat_template.jinja in the repository.); ZAYA1-8B 60 (Chat template 20, chat_template.jinja in the repository (10,700 characters).)
- Reach, ZAYA1-8B +10: Hy3 70 (Memory earns 5, because the smallest build of 4-bit precision or better is AngelSlim's GPTQ-Int4 of 168.5 GB, about 202 GB with the fifth added, which is within…); 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.)
- Documentation and upkeep, Hy3 +6: Hy3 56 (The model card earns 11, covering intended use, architecture, parameters and context but not limitations, languages or a knowledge cut-off.); ZAYA1-8B 50 (Model card 5, Intended use and the parameter counts are on the card.)
- Risk, Hy3 +5: Hy3 60 (File safety earns the full 25, safetensors only with no pickle files, and the documented route runs vLLM or SGLang from their own code with a Jinja template, so…); ZAYA1-8B 55 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)