# Qwen-AgentWorld-35B-A3B vs Recursive Flint (slim)

> Recursive Flint 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-recursive-flint.md (~10,200 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-recursive-flint.json · canonical https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-recursive-flint
- 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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Recursive Flint scores 61 (C) on agent readiness against Qwen-AgentWorld-35B-A3B's 52.1 (D), and leads in every scored category. 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
- Recursive Flint: C 61, rank #54 of 160 open-weight models · https://www.anchorterminal.com/tools/recursive-flint.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
- Recursive Flint, good for Agents doing repository work on a 32 to 48 GB Mac or NVIDIA box that want a sparse coder with documented tool calls and a plain licence. Ahead on Reach, 85 against 55; Risk, 60 against 55; Agent interface, 90 against 50; Documentation and upkeep, 67 against 41.

| Category | Qwen-AgentWorld-35B-A3B | Recursive Flint |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 85 |
| Risk (20%) | 55 | 60 |
| Agent interface (10%) | 50 | 90 |
| Documentation and upkeep (10%) | 41 | 67 |

| Fact (where they differ) | Qwen-AgentWorld-35B-A3B | Recursive Flint |
| --- | --- | --- |
| Vendor | Alibaba (Qwen team) | Recursive |
| Last release | 2026-06-25 | 2026-10-21 |
| Agent reviews | none | 3.5/5 (4) |

Why the edge:
- Agent interface, Recursive Flint +40: Qwen-AgentWorld-35B-A3B 50 (Chat template 20, chat_template.jinja in the repository, the same as the template in tokenizer_config.json.); Recursive Flint 90 (Chat template 20, a Jinja file in the repository and inside both GGUFs.)
- Reach, Recursive Flint +30: 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.); Recursive Flint 85 (Memory 20 of 30, Recursive's MLX INT4 build is 22.6 GB, or 27.1 GB with a fifth added, which fits 32 GB, and every other 4-bit build lands in the same band.)
- Documentation and upkeep, Recursive Flint +26: Qwen-AgentWorld-35B-A3B 41 (Model card 11, the card gives intended use (simulating agent environments), architecture, parameters and context length.); Recursive Flint 67 (Model card 17 of 20, everything but languages.)
- Risk, Recursive Flint +5: Qwen-AgentWorld-35B-A3B 55 (File safety 25, 21 safetensors shards and no pickle or Python files, and config.json has no auto_map.); Recursive Flint 60 (File safety 15 of 25, safetensors and GGUF only, but the card's documented BF16 route installs the wheel shipped in the repository.)