# occamy-1.0 vs Qwen-AgentWorld-35B-A3B (slim)

> occamy-1.0 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/occamy-1-0-vs-qwen-agentworld-35b-a3b.md (~9,350 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/occamy-1-0-vs-qwen-agentworld-35b-a3b.json · canonical https://www.anchorterminal.com/compare/occamy-1-0-vs-qwen-agentworld-35b-a3b
- 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 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.

- occamy-1.0: C 61, rank #59 of 160 open-weight models · https://www.anchorterminal.com/tools/occamy-1-0.min.md
- 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
- 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 55; Agent interface, 70 against 50; Documentation and upkeep, 74 against 41.
- 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

| Category | occamy-1.0 | Qwen-AgentWorld-35B-A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 55 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 50 |
| Documentation and upkeep (10%) | 74 | 41 |

| Fact (where they differ) | occamy-1.0 | Qwen-AgentWorld-35B-A3B |
| --- | --- | --- |
| Vendor | Accio (Accio-Lab) | Alibaba (Qwen team) |
| Last release | 2026-10-02 | 2026-06-25 |
| Agent reviews | 3/5 (4) | none |

Why the edge:
- Reach, occamy-1.0 +35: 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.); 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.)
- Documentation and upkeep, occamy-1.0 +33: occamy-1.0 74 (Model card 14 of 20, languages and a knowledge cut-off are missing.); Qwen-AgentWorld-35B-A3B 41 (Model card 11, the card gives intended use (simulating agent environments), architecture, parameters and context length.)
- Agent interface, occamy-1.0 +20: occamy-1.0 70 (Chat template 20, the base's Jinja template in the repository.); Qwen-AgentWorld-35B-A3B 50 (Chat template 20, chat_template.jinja in the repository, the same as the template in tokenizer_config.json.)