# Kimi K3 vs LFM2.5-2.6B (slim)

> Kimi K3 scores 62.4 (B) to LFM2.5-2.6B's 51.5 (D) 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 LFM2.5-2.6B's 51.5 (D), and leads in 2 of 5 scored categories. LFM2.5-2.6B leads on reach, agent interface and documentation and upkeep. 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
- LFM2.5-2.6B: D 51.5, rank #89 of 100 open-weight models · https://www.anchorterminal.com/tools/lfm2-5-2-6b.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 13; Risk, 65 against 50.
- LFM2.5-2.6B, good for Agents that want a small local helper for tool calls, extraction and RAG on a laptop, phone or CPU, at organisations under the licence's revenue threshold Ahead on Reach, 95 against 50; Agent interface, 75 against 65; Documentation and upkeep, 57 against 41.

| Category | Kimi K3 | LFM2.5-2.6B |
| --- | --- | --- |
| Capability (35%) | 75 | 13 |
| Reach (25%) | 50 | 95 |
| Risk (20%) | 65 | 50 |
| Agent interface (10%) | 65 | 75 |
| Documentation and upkeep (10%) | 41 | 57 |

| Fact (where they differ) | Kimi K3 | LFM2.5-2.6B |
| --- | --- | --- |
| Vendor | Moonshot AI | Liquid AI |
| Licence | Kimi K3 License (modified MIT) | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| llms.txt | no | yes |
| Last release | 2026-09-02 | 2026-09-22 |
| Agent reviews | 2.3/5 (4) | 2.5/5 (4) |