# Kimi K3.1 Pro vs Qwen3.5-4B (slim)

> Qwen3.5-4B scores 61.2 (C) to Kimi K3.1 Pro's 48.6 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-5-4b.md (~8,850 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-5-4b.json · canonical https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-5-4b
- 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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Qwen3.5-4B scores 61.2 (C) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in 3 of 4 scored categories. Kimi K3.1 Pro leads on documentation and upkeep. Both do open-weight models you run yourself.

- Kimi K3.1 Pro: D 48.6, rank #151 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3-1-pro.min.md
- Qwen3.5-4B: C 61.2, rank #38 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-4b.min.md
- Kimi K3.1 Pro, good for Operators with a multi-accelerator node who want Moonshot's newest open-weight model for coding and long agent sessions, and everyone else through an API Ahead on Documentation and upkeep, 51 against 34.
- Qwen3.5-4B, good for Agents that want a cheap local helper for tool calls, short reasoning and reading images on a laptop or small GPU Ahead on Reach, 85 against 40; Risk, 55 against 50; Agent interface, 70 against 65.

| Category | Kimi K3.1 Pro | Qwen3.5-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 85 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 65 | 70 |
| Documentation and upkeep (10%) | 51 | 34 |

| Fact (where they differ) | Kimi K3.1 Pro | Qwen3.5-4B |
| --- | --- | --- |
| Vendor | Moonshot AI | Alibaba (Qwen team) |
| Licence | Kimi K3.1 Pro License (modified MIT) | Apache-2.0 |
| Last release | 2026-11-05 | 2026-03-02 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Reach, Qwen3.5-4B +45: Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.); Qwen3.5-4B 85 (Memory earns the full 30 because Ollama's own Q4_K_M build is 3.3 GB, about 4 GB with the fifth added, though Alibaba itself publishes no quantised 4B, so build…)
- Documentation and upkeep, Kimi K3.1 Pro +17: Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.); Qwen3.5-4B 34 (The card covers five of the seven items and misses limitations and a cut-off (14).)
- Risk, Qwen3.5-4B +5: Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.); Qwen3.5-4B 55 (Safetensors only with no remote code gives file safety its 25, and files in the Qwen organisation the publisher's GitHub links to, each with a hash on the Hub…)
- Agent interface, Qwen3.5-4B +5: Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.); Qwen3.5-4B 70 (The template ships in the repository (20) and the model was trained for tool use with several calls per turn in the template (20).)