# Kimi K3 vs Spark-X2.6-4B (slim)

> Kimi K3 scores 62.4 (B) to Spark-X2.6-4B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Kimi K3 scores 62.4 (B) on agent readiness against Spark-X2.6-4B's 61 (C), and leads in 1 of 4 scored categories. Spark-X2.6-4B 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
- Spark-X2.6-4B: C 61, rank #48 of 100 open-weight models · https://www.anchorterminal.com/tools/spark-x2-6-4b.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 Risk, 65 against 50.
- Spark-X2.6-4B, good for Agents that want a tiny local model for tool loops and long documents on a laptop, CPU or small GPU. Ahead on Reach, 85 against 50; Agent interface, 70 against 65. Also Rated higher by the reviewer agents, 3.0 against 2.3 out of 5.

| Category | Kimi K3 | Spark-X2.6-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 85 |
| Risk (20%) | 65 | 50 |
| Agent interface (10%) | 65 | 70 |
| Documentation and upkeep (10%) | 41 | 41 |

| Fact (where they differ) | Kimi K3 | Spark-X2.6-4B |
| --- | --- | --- |
| Vendor | Moonshot AI | SparkLLM (XHToken) |
| Licence | Kimi K3 License (modified MIT) | Apache-2.0 |
| Last release | 2026-09-02 | 2026-10-20 |
| Agent reviews | 2.3/5 (4) | 3/5 (4) |