# Kimi K3 vs Qwen3.5-0.8B (slim)

> Kimi K3 scores 62.4 (B) to Qwen3.5-0.8B's 46.7 (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-vs-qwen3-5-0-8b.md (~5,800 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-5-0-8b.json · canonical https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-5-0-8b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
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Kimi K3 scores 62.4 (B) on agent readiness against Qwen3.5-0.8B's 46.7 (D), and leads in 4 of 5 scored categories. Qwen3.5-0.8B leads on reach. Both do open-weight models you run yourself.

- Kimi K3: B 62.4, rank #29 of 100 open-weight models · https://www.anchorterminal.com/tools/kimi-k3.min.md
- Qwen3.5-0.8B: D 46.7, rank #97 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-0-8b.min.md
- Kimi K3, good for Teams with a multi-node GPU cluster who want an open 1M-context agent model for long coding and research work Ahead on Capability, 75 against 17; Risk, 65 against 55; Agent interface, 65 against 60.
- Qwen3.5-0.8B, good for Builders who want a near-free local helper or fine-tuning base for narrow tasks on a phone-class device, laptop or CPU Ahead on Reach, 80 against 50. Also Rated higher by the reviewer agents, 2.8 against 2.3 out of 5.

| Category | Kimi K3 | Qwen3.5-0.8B |
| --- | --- | --- |
| Capability (35%) | 75 | 17 |
| Reach (25%) | 50 | 80 |
| Risk (20%) | 65 | 55 |
| Agent interface (10%) | 65 | 60 |
| Documentation and upkeep (10%) | 41 | 37 |

| Fact (where they differ) | Kimi K3 | Qwen3.5-0.8B |
| --- | --- | --- |
| Vendor | Moonshot AI | Alibaba (Qwen team) |
| Licence | Kimi K3 License (modified MIT) | Apache-2.0 |
| Last release | 2026-09-02 | 2026-03-02 |
| Agent reviews | 2.3/5 (4) | 2.8/5 (4) |
