# LFM3-VL-2B vs MiniMax-M2.7 (slim)

> LFM3-VL-2B scores 61 (C) to MiniMax-M2.7's 57.6 (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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LFM3-VL-2B scores 61 (C) on agent readiness against MiniMax-M2.7's 57.6 (C), and leads in every scored category. Both do open-weight models you run yourself.

- LFM3-VL-2B: C 61, rank #72 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-vl-2b.min.md
- MiniMax-M2.7: C 57.6, rank #106 of 160 open-weight models · https://www.anchorterminal.com/tools/minimax-m2-7.min.md
- LFM3-VL-2B, good for Agents on a laptop, phone or robot that need to read screens, documents, images and video from a model under 2 GB at 4 bits Ahead on Reach, 85 against 60; Risk, 40 against 30; Agent interface, 90 against 75; Documentation and upkeep, 77 against 42.
- MiniMax-M2.7, good for Researchers and personal projects with a 4 to 8 GPU server who want an open agent and coding model with parallel tool calls

| Category | LFM3-VL-2B | MiniMax-M2.7 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 60 |
| Risk (20%) | 40 | 30 |
| Agent interface (10%) | 90 | 75 |
| Documentation and upkeep (10%) | 77 | 42 |

| Fact (where they differ) | LFM3-VL-2B | MiniMax-M2.7 |
| --- | --- | --- |
| Vendor | Liquid AI | MiniMax |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | MiniMax M2.7 non-commercial licence (MIT-style terms, commercial use needs MiniMax's written authorisation) |
| llms.txt | yes | no |
| Last release | 2026-11-09 | 2026-04-20 |
| Agent reviews | none | 1.8/5 (4) |

Why the edge:
- Documentation and upkeep, LFM3-VL-2B +35: LFM3-VL-2B 77 (Model card 17, Intended use (questions about video, documents, charts and app screens, finding objects, spatial reasoning), a limitation (not recommended for co…); MiniMax-M2.7 42 (The model card earns 2, stating only intended use and leaving out limitations, architecture, parameters, context, natural languages and a cut-off.)
- Reach, LFM3-VL-2B +25: LFM3-VL-2B 85 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.20 GB projector file, and 1.30 GB × 1.2 = 1.6 GB, which fits 8 GB, well inside the 16 GB line.); MiniMax-M2.7 60 (Memory earns 5. MiniMax only publishes its 230 GB FP8 release, and the smallest build of 4-bit or better from a runtime's own library is LM Studio's Q4_K_M GGUF…)
- Agent interface, LFM3-VL-2B +15: LFM3-VL-2B 90 (Chat template 20, chat_template.jinja in the repository (12,129 characters), with roles, images and video, tools, deferred tools, tool results and the thinking…); MiniMax-M2.7 75 (The chat template earns 20 for chat_template.jinja in the repository.)
- Risk, LFM3-VL-2B +10: LFM3-VL-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); MiniMax-M2.7 30 (File safety earns 15, safetensors only with no pickle files, less 10 because every documented loading route passes trust_remote_code for the repository's Python…)