# LFM3-Audio-2B vs MiniMax-M2.5 (slim)

> LFM3-Audio-2B scores 61 (C) to MiniMax-M2.5's 59 (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-Audio-2B scores 61 (C) on agent readiness against MiniMax-M2.5's 59 (C), and leads in every scored category. Both do open-weight models you run yourself.

- LFM3-Audio-2B: C 61, rank #70 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-audio-2b.min.md
- MiniMax-M2.5: C 59, rank #99 of 160 open-weight models · https://www.anchorterminal.com/tools/minimax-m2-5.min.md
- LFM3-Audio-2B, good for Voice agents on a laptop or phone that need speech in, speech out and tool calls from one small model Ahead on Reach, 80 against 65; Risk, 40 against 30; Agent interface, 85 against 75; Documentation and upkeep, 52 against 37.
- MiniMax-M2.5, good for Teams with a 4 to 8 GPU server who want an open agent and coding model with parallel tool calls and can live with its use policy

| Category | LFM3-Audio-2B | MiniMax-M2.5 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 65 |
| Risk (20%) | 40 | 30 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 52 | 37 |

| Fact (where they differ) | LFM3-Audio-2B | MiniMax-M2.5 |
| --- | --- | --- |
| Vendor | Liquid AI | MiniMax |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | MiniMax Model License (model) and modified MIT (code) |
| llms.txt | yes | no |
| Last release | 2026-11-03 | 2026-02-12 |
| Agent reviews | none | 1.8/5 (4) |

Why the edge:
- Reach, LFM3-Audio-2B +15: LFM3-Audio-2B 80 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.17 GB projector file, and 1.27 GB × 1.2 = 1.5 GB, which fits 8 GB, well inside the 16 GB line.); MiniMax-M2.5 65 (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 MLX 4-bit a…)
- Documentation and upkeep, LFM3-Audio-2B +15: LFM3-Audio-2B 52 (Model card 17, Intended use (local agents, tool calling, structured outputs, fine-tuning), limitations (not recommended for agentic coding or complex multi-step…); MiniMax-M2.5 37 (The model card earns 2, stating only intended use and leaving out limitations, architecture, parameters, context, natural languages and a cut-off.)
- Risk, LFM3-Audio-2B +10: LFM3-Audio-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); MiniMax-M2.5 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…)
- Agent interface, LFM3-Audio-2B +10: LFM3-Audio-2B 85 (Chat template 20, chat_template.jinja in the repository (9,328 characters), with roles, audio, tools, deferred tools and tool results.); MiniMax-M2.5 75 (The chat template earns 20 for chat_template.jinja in the repository.)