# LFM3-Audio-2B vs Qwen3-VL-4B-Instruct (slim)

> LFM3-Audio-2B scores 61 (C) to Qwen3-VL-4B-Instruct's 52.6 (D) 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-qwen3-vl-4b-instruct.md (~9,900 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-qwen3-vl-4b-instruct.json · canonical https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-qwen3-vl-4b-instruct
- 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 Qwen3-VL-4B-Instruct's 52.6 (D), and leads in 2 of 4 scored categories. Qwen3-VL-4B-Instruct leads on reach and risk. 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
- Qwen3-VL-4B-Instruct: D 52.6, rank #137 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct.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 Agent interface, 85 against 60; Documentation and upkeep, 52 against 31.
- Qwen3-VL-4B-Instruct, good for An agent with 4 GB or more to spare that needs a local model to read images, documents and video Ahead on Reach, 95 against 80; Risk, 55 against 40.

| Category | LFM3-Audio-2B | Qwen3-VL-4B-Instruct |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 95 |
| Risk (20%) | 40 | 55 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 52 | 31 |

| Fact (where they differ) | LFM3-Audio-2B | Qwen3-VL-4B-Instruct |
| --- | --- | --- |
| Vendor | Liquid AI | Alibaba (Qwen team) |
| 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 | 2025-11-01 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Agent interface, LFM3-Audio-2B +25: 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.); Qwen3-VL-4B-Instruct 60 (A Jinja chat template in the repository (20).)
- Documentation and upkeep, LFM3-Audio-2B +21: 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…); Qwen3-VL-4B-Instruct 31 (The card misses limitations, languages and a cut-off (11).)
- Reach, Qwen3-VL-4B-Instruct +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.); Qwen3-VL-4B-Instruct 95 (Alibaba's own Q4_K_M GGUF with its vision file is 2.95 GB, so with a fifth added it needs about 3.5 GB and fits well within 16 GB (30).)
- Risk, Qwen3-VL-4B-Instruct +15: LFM3-Audio-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); Qwen3-VL-4B-Instruct 55 (Safetensors and GGUF only and no code in the repositories, so the FP8 card's trust_remote_code flag runs nothing (25).)