# LFM2.5-2.6B vs MiniCPM-V 4.7 1B (slim)

> MiniCPM-V 4.7 1B scores 61 (C) to LFM2.5-2.6B's 50.3 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-minicpm-v-4-7-1b.md (~9,700 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-minicpm-v-4-7-1b.json · canonical https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-minicpm-v-4-7-1b
- 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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MiniCPM-V 4.7 1B scores 61 (C) on agent readiness against LFM2.5-2.6B's 50.3 (D), and leads in 2 of 4 scored categories. LFM2.5-2.6B leads on agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- LFM2.5-2.6B: D 50.3, rank #146 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm2-5-2-6b.min.md
- MiniCPM-V 4.7 1B: C 61, rank #76 of 160 open-weight models · https://www.anchorterminal.com/tools/minicpm-v-4-7-1b.min.md
- 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 Agent interface, 75 against 70; Documentation and upkeep, 57 against 48.
- MiniCPM-V 4.7 1B, good for Agents that need a cheap local model to read screenshots, photos and short video on a phone, a laptop or beside a bigger model Ahead on Reach, 95 against 90; Risk, 55 against 50.

| Category | LFM2.5-2.6B | MiniCPM-V 4.7 1B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 95 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 75 | 70 |
| Documentation and upkeep (10%) | 57 | 48 |

| Fact (where they differ) | LFM2.5-2.6B | MiniCPM-V 4.7 1B |
| --- | --- | --- |
| Vendor | Liquid AI | OpenBMB |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | Apache-2.0 |
| llms.txt | yes | no |
| Last release | 2026-11-03 | 2026-10-30 |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Documentation and upkeep, LFM2.5-2.6B +9: LFM2.5-2.6B 57 (The model card earns 17, with everything but a knowledge cut-off.); MiniCPM-V 4.7 1B 48 (Model card 8, Intended use (image, multi-image and video understanding on device), architecture (early visual-token compression inside the vision encoder) and p…)
- Reach, MiniCPM-V 4.7 1B +5: LFM2.5-2.6B 90 (Memory earns the full 30, since Liquid's own 4-bit GGUF is 1.59 GB and fits 8 GB with room to spare.); MiniCPM-V 4.7 1B 95 (Memory 30, OpenBMB's own IQ4_XS GGUF is 0.64 GB, 1.54 GB with the 0.90 GB vision projector, and 1.54 GB × 1.2 = 1.9 GB, which fits 16 GB with room to spare.)
- Risk, MiniCPM-V 4.7 1B +5: LFM2.5-2.6B 50 (File safety earns 25, safetensors and GGUF only, and nothing from the repository runs to load it or build prompts.); MiniCPM-V 4.7 1B 55 (File safety 25, safetensors in the main repository and the AWQ, GPTQ and int4 builds, GGUF in the GGUF build, with no .bin, .pt, .pth or .py files in the main r…)
- Agent interface, LFM2.5-2.6B +5: LFM2.5-2.6B 75 (The chat template earns 20 for chat_template.jinja in the repository.); MiniCPM-V 4.7 1B 70 (Chat template 20, chat_template.jinja in the repository, 7,249 characters.)