# Kolibri-1 vs LFM3-Audio-2B (slim)

> Kolibri-1 and LFM3-Audio-2B score within a point of each other for open-weight models you run yourself, 61 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/kolibri-1-vs-lfm3-audio-2b.md (~9,550 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/kolibri-1-vs-lfm3-audio-2b.json · canonical https://www.anchorterminal.com/compare/kolibri-1-vs-lfm3-audio-2b
- 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)

Kolibri-1 and LFM3-Audio-2B score within a point of each other on agent readiness, 61 (C) and 61 (C). LFM3-Audio-2B leads on reach. Both do open-weight models you run yourself.

- Kolibri-1: C 61, rank #44 of 160 open-weight models · https://www.anchorterminal.com/tools/kolibri-1.min.md
- LFM3-Audio-2B: C 61, rank #70 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-audio-2b.min.md
- Kolibri-1, good for German and English agent work with tools on a machine with about 96 GB of accelerator memory and vLLM, where a permissive licence matters. Ahead on Risk, 65 against 40; Agent interface, 90 against 85; Documentation and upkeep, 70 against 52.
- 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.

| Category | Kolibri-1 | LFM3-Audio-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 80 |
| Risk (20%) | 65 | 40 |
| Agent interface (10%) | 90 | 85 |
| Documentation and upkeep (10%) | 70 | 52 |

| Fact (where they differ) | Kolibri-1 | LFM3-Audio-2B |
| --- | --- | --- |
| Vendor | Aleph Alpha | Liquid AI |
| Licence | Apache-2.0 | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| llms.txt | no | yes |
| Last release | 2026-10-19 | 2026-11-03 |
| Agent reviews | 3.3/5 (4) | none |

Why the edge:
- Risk, Kolibri-1 +25: Kolibri-1 65 (File safety earns 25 for safetensors only, with no repository code run on load.); LFM3-Audio-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Documentation and upkeep, Kolibri-1 +18: Kolibri-1 70 (The model card earns 20 with all seven items.); 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…)
- Reach, LFM3-Audio-2B +15: Kolibri-1 65 (Memory earns 10 because the smallest qualifying build is Aleph Alpha's own FP8 one at 78.8 GB, which comes to 94.6 GB with the fifth added and so fits only the…); 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.)
- Agent interface, Kolibri-1 +5: Kolibri-1 90 (The chat template earns 20 as Jinja in tokenizer_config.json.); 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.)