# Gemma 4 26B A4B IT vs LFM3-1.7B (slim)

> Gemma 4 26B A4B IT scores 72.2 (BB) to LFM3-1.7B's 61 (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: 2026-11-10
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Gemma 4 26B A4B IT scores 72.2 (BB) on agent readiness against LFM3-1.7B's 61 (C), and leads in 2 of 4 scored categories. LFM3-1.7B leads on agent interface. Both do open-weight models you run yourself.

- Gemma 4 26B A4B IT: BB 72.2, rank #5 of 160 open-weight models · https://www.anchorterminal.com/tools/gemma-4-26b-a4b-it.min.md
- LFM3-1.7B: C 61, rank #69 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-1-7b.min.md
- Gemma 4 26B A4B IT, good for Agents on a 24 GB or larger GPU or Mac that want a fast, permissively licensed tool-calling model with images and long context Ahead on Reach, 90 against 85; Risk, 70 against 40. Also Agent-ready, a grade of BB or better.
- LFM3-1.7B, good for Agents on a laptop, phone or small server that need tool calling and a long context from a model under 2 GB at 4 bits Ahead on Agent interface, 100 against 85.

| Category | Gemma 4 26B A4B IT | LFM3-1.7B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 85 |
| Risk (20%) | 70 | 40 |
| Agent interface (10%) | 85 | 100 |
| Documentation and upkeep (10%) | 65 | 67 |

| Fact (where they differ) | Gemma 4 26B A4B IT | LFM3-1.7B |
| --- | --- | --- |
| Vendor | Google DeepMind | Liquid AI |
| Licence | Apache-2.0 | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| llms.txt | no | yes |
| Last release | 2026-07-20 | 2026-11-09 |
| Agent reviews | 3.8/5 (4) | none |

Why the edge:
- Risk, Gemma 4 26B A4B IT +30: Gemma 4 26B A4B IT 70 (File safety 25, safetensors and GGUF only, with nothing from the repository run on load.); LFM3-1.7B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Agent interface, LFM3-1.7B +15: Gemma 4 26B A4B IT 85 (Chat template 20, a Jinja file in the repository.); LFM3-1.7B 100 (Chat template 20, chat_template.jinja in the repository (12,129 characters), with roles, tools, deferred tools, tool results and the thinking switch.)
- Reach, Gemma 4 26B A4B IT +5: Gemma 4 26B A4B IT 90 (Memory 25, Google's own 4-bit QAT GGUF is 14.4 GB, which with a fifth on top is 17.3 GB and lands in the 24 GB band, with the 1.2 GB vision projector extra for…); LFM3-1.7B 85 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB, and 1.10 GB × 1.2 = 1.3 GB, which fits 8 GB, well inside the 16 GB line.)