# LFM3-Audio-2B vs Mistral Large 4 (slim)

> LFM3-Audio-2B scores 61 (C) to Mistral Large 4's 54.6 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-mistral-large-4.md (~9,850 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-mistral-large-4.json · canonical https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-mistral-large-4
- 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)

LFM3-Audio-2B scores 61 (C) on agent readiness against Mistral Large 4's 54.6 (C), and leads in 1 of 4 scored categories. Mistral Large 4 leads on risk, agent interface and documentation and upkeep. 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
- Mistral Large 4: C 54.6, rank #128 of 160 open-weight models · https://www.anchorterminal.com/tools/mistral-large-4.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 50.
- Mistral Large 4, good for Operators with an 8-GPU Blackwell or H200 node who want a frontier-sized open model for coding agents and defensive security, with a hosted twin on Mistral's API. Ahead on Risk, 75 against 40; Agent interface, 95 against 85; Documentation and upkeep, 64 against 52.

| Category | LFM3-Audio-2B | Mistral Large 4 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 50 |
| Risk (20%) | 40 | 75 |
| Agent interface (10%) | 85 | 95 |
| Documentation and upkeep (10%) | 52 | 64 |

| Fact (where they differ) | LFM3-Audio-2B | Mistral Large 4 |
| --- | --- | --- |
| Vendor | Liquid AI | Mistral AI |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | Mistral Ecosystem Open-Weight License (modified MIT) |
| llms.txt | yes | no |
| Last release | 2026-11-03 | 2026-10-29 |

Why the edge:
- Risk, Mistral Large 4 +35: LFM3-Audio-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); Mistral Large 4 75 (File safety scores 25, safetensors only and loaded by Transformers' own code with a Jinja template.)
- Reach, LFM3-Audio-2B +30: 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.); Mistral Large 4 50 (Memory scores 0, since the smallest 4-bit build, Mistral's NVFP4, is 610 GB, about 732 GB with a fifth added, far above 256 GB.)
- Documentation and upkeep, Mistral Large 4 +12: 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…); Mistral Large 4 64 (The card covers intended use, architecture, parameters, context and languages, and misses limitations and a cut-off (14).)
- Agent interface, Mistral Large 4 +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.); Mistral Large 4 95 (The chat template is in the repository (20).)