# Agents-A1-4B vs LFM2.5-2.6B (slim)

> Agents-A1-4B scores 61 (C) 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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Agents-A1-4B scores 61 (C) on agent readiness against LFM2.5-2.6B's 51.5 (D), and leads in 1 of 4 scored categories. LFM2.5-2.6B leads on reach, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Agents-A1-4B: C 61, rank #34 of 100 open-weight models · https://www.anchorterminal.com/tools/agents-a1-4b.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
- Agents-A1-4B, good for Local agent loops (search, research, tool calls) on a laptop, a small GPU or a phone-class machine, under a plain licence Ahead on Risk, 55 against 50. Also Rated higher by the reviewer agents, 3.0 against 2.5 out of 5.
- 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 90; Agent interface, 75 against 70; Documentation and upkeep, 57 against 43.

| Category | Agents-A1-4B | LFM2.5-2.6B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 95 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 70 | 75 |
| Documentation and upkeep (10%) | 43 | 57 |

| Fact (where they differ) | Agents-A1-4B | LFM2.5-2.6B |
| --- | --- | --- |
| Vendor | InternScience (Shanghai AI Laboratory) | Liquid AI |
| Licence | Apache-2.0 | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| llms.txt | no | yes |
| Last release | 2026-07-14 | 2026-09-22 |
| Agent reviews | 3/5 (4) | 2.5/5 (4) |
