# LFM3-Omni-2B Benchmark Scores & Performance

> LFM3-Omni-2B has Liquid LFM3 audio results results. Voice evidence is display-only and does not produce a text-model score.

Canonical page: https://benchlm.ai/models/lfm3-omni-2b

Last updated: October 27, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | LiquidAI |
| Source Type | Open Weight |
| Reasoning Type | Non-Reasoning |
| Context Window | 32K |
| Official model card | [LiquidAI model card](https://huggingface.co/LiquidAI/LFM3-Omni-2B/blob/ce2458cbce4ad970f92032ed94e3d18d30b04f9c/README.md) |
| Overall Score | Not scored (voice evidence only) |
| Overall Rank | Unranked |

## Family & Coverage

- Family: LFM3
- Variant: base
- Benchmarks covered: 0 of 716
- Sibling models: [LFM3-1.7B](/models/lfm3-1-7b), [LFM3-1.7B-Base](/models/lfm3-1-7b-base), [LFM3-Audio-2B](/models/lfm3-audio-2b)
- Coverage note: Speech and voice results appear below; no weighted text-model benchmark rows are stored.

## Speech and voice evidence

[Liquid AI LFM3 audio and omni evaluation](/voice-benchmarks/liquid-lfm3-audio-omni-evaluation)

Liquid AI measured every result, including the competitor columns not carried here, with each model’s own chat template and greedy text decoding. English ASR averages the ESB / Open ASR suite; multilingual ASR averages FLEURS over nine languages, with CER for Chinese, Japanese and Korean. VoiceBench is the mean of 9 subsets with the three 1-5 judge scores multiplied by 20. The tool-calling score is an internal evaluation without a public task set. These results do not enter text-model or voice-agent rankings.

| Metric | Result |
| --- | --- |
| Daily-Omni | 70.09 |
| WorldSense | 47.10 |
| OmniBench overall | 46.32 |
| English ASR WER (ESB / Open ASR) | 6.36% |
| VoiceBench | 64.73 |
| MMAR audio understanding | 51.40 |

Liquid AI launch post and model cards retrieved October 27, 2026. Provider-reported; error rates are better lower. Voice results are display-only.

- [Evaluation source](https://www.liquid.ai/blog/lfm3)

LFM Open License v1.0 weights on Hugging Face with GGUF, ONNX and MLX exports, released October 27, 2026 with a 32K context. It takes text, images, video with or without its soundtrack, and 16 kHz audio, and returns text, 24 kHz speech, or both. Thinking mode is not supported.

## Other LiquidAI Models

- [LFM2.5-24B-A2B](/models/lfm2-5-24b-a2b) - Score: 36.99
- [LFM2.5-2.6B](/models/lfm2-5-2-6b) - Score: 31.4
- [LFM2.5-8B-A1B](/models/lfm2-5-8b-a1b) - Score: 30.31
- [LFM3-1.7B](/models/lfm3-1-7b) - Score: 22.99
- [LFM2-24B-A2B](/models/lfm2-24b-a2b) - Score: 20.74
- [LFM2.5-1.2B-Thinking](/models/lfm2-5-1-2b-thinking) - Score: 19.5
- [LFM2.5-1.2B-Instruct](/models/lfm2-5-1-2b-instruct) - Score: 19.25
- [LFM2.5-350M](/models/lfm2-5-350m) - Score: not computed
- [LFM2.5-VL-450M](/models/lfm2-5-vl-450m) - Score: not computed
- [LFM3-VL-2B](/models/lfm3-vl-2b) - Score: not computed
- [LFM2.5-230M](/models/lfm2-5-230m) - Score: not computed
- [LFM2.5-VL-3B](/models/lfm2-5-vl-3b) - Score: not computed
- [LFM2.5-VL-1.6B-Extract](/models/lfm2-5-vl-1-6b-extract) - Score: not computed
- [LFM2.5-VL-450M-Extract](/models/lfm2-5-vl-450m-extract) - Score: not computed
- [d1-2B](/models/d1-2b) - Score: not computed
- [d1-Omni-2B](/models/d1-omni-2b) - Score: not computed
- [LFM3-1.7B-Base](/models/lfm3-1-7b-base) - Score: not computed
- [LFM3-Audio-2B](/models/lfm3-audio-2b) - Score: not computed
- [d1-3B](/models/d1-3b) - Score: not computed
- [d1-omni-600M](/models/d1-omni-600m) - Score: not computed
- [LFM2.5-ColBERT-350M](/models/lfm2-5-colbert-350m) - Score: not computed
- [LFM2.5-Embedding-350M](/models/lfm2-5-embedding-350m) - Score: not computed
- [LFM2.5-1.2B-JP-202606](/models/lfm2-5-1-2b-jp-202606) - Score: not computed