# LFM2.5-2.6B vs MiMo-V2.6-Flash-RL (slim)

> MiMo-V2.6-Flash-RL 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-mimo-v2-6-flash-rl.md (~9,300 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-mimo-v2-6-flash-rl.json · canonical https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-mimo-v2-6-flash-rl
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

MiMo-V2.6-Flash-RL 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 reach and risk. 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
- MiMo-V2.6-Flash-RL: C 61, rank #75 of 160 open-weight models · https://www.anchorterminal.com/tools/mimo-v2-6-flash-rl.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 Reach, 90 against 65; Risk, 50 against 45.
- MiMo-V2.6-Flash-RL, good for Teams with a GPU server, or a provider account, that want an open agent model with a very long context Ahead on Agent interface, 85 against 75.

| Category | LFM2.5-2.6B | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 65 |
| Risk (20%) | 50 | 45 |
| Agent interface (10%) | 75 | 85 |
| Documentation and upkeep (10%) | 57 | 59 |

| Fact (where they differ) | LFM2.5-2.6B | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Vendor | Liquid AI | Xiaomi (MiMo team) |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | MIT (metadata only, no LICENSE file) |
| llms.txt | yes | no |
| Last release | 2026-11-03 | 2026-10-28 |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Reach, LFM2.5-2.6B +25: 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.); MiMo-V2.6-Flash-RL 65 (Memory 5, the smallest build at 4 bits or better is ggml-org's MXFP4 GGUF, 168.93 GB with its projector, and 168.93 GB × 1.2 = 202.7 GB, within 256 GB.)
- Agent interface, MiMo-V2.6-Flash-RL +10: LFM2.5-2.6B 75 (The chat template earns 20 for chat_template.jinja in the repository.); MiMo-V2.6-Flash-RL 85 (Chat template 20, chat_template.jinja in the repository (3,868 characters), with a copy in tokenizer_config.json.)
- Risk, LFM2.5-2.6B +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.); MiMo-V2.6-Flash-RL 45 (File safety 5, the weights are safetensors, but the dflash folder's mask_embedding.pt is a pickle beside them (15).)