# Kimi K3 vs Qwen3-30B-A3B-Instruct-2507 (slim)

> Kimi K3 scores 62.4 (B) to Qwen3-30B-A3B-Instruct-2507's 56.6 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- 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 Qwen3-30B-A3B-Instruct-2507's 56.6 (C), and leads in 3 of 5 scored categories. Qwen3-30B-A3B-Instruct-2507 leads on reach and agent interface. 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
- Qwen3-30B-A3B-Instruct-2507: C 56.6, rank #74 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-30b-a3b-instruct-2507.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 37; Risk, 65 against 55; Documentation and upkeep, 41 against 26.
- Qwen3-30B-A3B-Instruct-2507, good for Agents that want a fast, capable instruct model on one 24 GB GPU or a 32 GB Mac, with a plain licence and long context. Ahead on Reach, 90 against 50; Agent interface, 75 against 65. Also Rated higher by the reviewer agents, 2.8 against 2.3 out of 5.

| Category | Kimi K3 | Qwen3-30B-A3B-Instruct-2507 |
| --- | --- | --- |
| Capability (35%) | 75 | 37 |
| Reach (25%) | 50 | 90 |
| Risk (20%) | 65 | 55 |
| Agent interface (10%) | 65 | 75 |
| Documentation and upkeep (10%) | 41 | 26 |

| Fact (where they differ) | Kimi K3 | Qwen3-30B-A3B-Instruct-2507 |
| --- | --- | --- |
| Vendor | Moonshot AI | Alibaba (Qwen team) |
| Licence | Kimi K3 License (modified MIT) | Apache-2.0 |
| Last release | 2026-09-02 | 2025-09-17 |
| Agent reviews | 2.3/5 (4) | 2.8/5 (4) |