# Qwen-AgentWorld-35B-A3B vs ZAYA1-8B (slim)

> ZAYA1-8B scores 61 (C) to Qwen-AgentWorld-35B-A3B's 52.1 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-zaya1-8b.md (~9,300 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-zaya1-8b.json · canonical https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-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)

ZAYA1-8B scores 61 (C) on agent readiness against Qwen-AgentWorld-35B-A3B's 52.1 (D), and leads in 3 of 4 scored categories. Both do open-weight models you run yourself.

- Qwen-AgentWorld-35B-A3B: D 52.1, rank #141 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen-agentworld-35b-a3b.min.md
- ZAYA1-8B: C 61, rank #85 of 160 open-weight models · https://www.anchorterminal.com/tools/zaya1-8b.min.md
- Qwen-AgentWorld-35B-A3B, good for Agent builders who want to train or test an agent against simulated tools, terminals, browsers and phones on a 128 GB machine
- 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 55; Agent interface, 60 against 50; Documentation and upkeep, 50 against 41.

| Category | Qwen-AgentWorld-35B-A3B | ZAYA1-8B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 80 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 50 | 60 |
| Documentation and upkeep (10%) | 41 | 50 |

| Fact (where they differ) | Qwen-AgentWorld-35B-A3B | ZAYA1-8B |
| --- | --- | --- |
| Vendor | Alibaba (Qwen team) | Zyphra |
| Last release | 2026-06-25 | 2026-07-02 |

Why the edge:
- Reach, ZAYA1-8B +25: Qwen-AgentWorld-35B-A3B 55 (Memory 10, Alibaba's only build is the BF16 safetensors, 69.32 GB, and 69.32 GB × 1.2 = 83.2 GB, above 64 GB and inside the reference machine's GPU share.); 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 +10: Qwen-AgentWorld-35B-A3B 50 (Chat template 20, chat_template.jinja in the repository, the same as the template in tokenizer_config.json.); ZAYA1-8B 60 (Chat template 20, chat_template.jinja in the repository (10,700 characters).)
- Documentation and upkeep, ZAYA1-8B +9: Qwen-AgentWorld-35B-A3B 41 (Model card 11, the card gives intended use (simulating agent environments), architecture, parameters and context length.); ZAYA1-8B 50 (Model card 5, Intended use and the parameter counts are on the card.)