# LFM3-VL-2B Benchmark Scores & Performance

> LFM3-VL-2B by LiquidAI has 20 source-displayable benchmark rows but no public overall score. It remains unranked.

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

Last updated: October 27, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | LiquidAI |
| Source Type | Open Weight |
| Reasoning Type | Reasoning |
| Context Window | 128K |
| Official model card | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| Overall Score | Not computed (unranked) |
| Overall Rank | Unranked |

## Family & Coverage

- Family: LFM3-VL-2B
- Variant: reasoning
- Benchmarks covered: 20 of 716
- Coverage note: Published evidence is shown below; no public overall score is assigned.

## Multimodal & Grounded Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [RealWorldQA](/benchmarks/realworldqa) | 79.3% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [SimpleVQA](/benchmarks/simplevqa) | 36.3% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [CountBench](/benchmarks/countbench) | 93.0% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [MMMU](/benchmarks/mmmu) | 55.7% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [MMMU-Pro](/benchmarks/mmmu-pro) | 45.7% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [OCRBench V2](/benchmarks/ocrbenchv2) | 63.5% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [RefCOCO (avg)](/benchmarks/refcocoavg) | 90.5% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [V*](/benchmarks/vstar) | 86.4% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [CharXiv w/o tools](/benchmarks/charxivnotools) | 70.2% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [MathVision](/benchmarks/mathvision) | 51.6% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [DynaMath](/benchmarks/dynamath) | 79.2% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [We-Math](/benchmarks/wemath) | 68.6% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [ERQA](/benchmarks/erqa) | 48.2% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [ScreenSpot Pro](/benchmarks/screenspot-pro) | 55.5% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [LVBench](/benchmarks/lvbench) | 41.2% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [MLVU (M-Avg)](/benchmarks/mlvuavg) | 71.3% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [MMVU](/benchmarks/mmvu) | 52.9% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [Video-MME (w/o subtitle)](/benchmarks/videommenosub) | 62.8% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [Video-MME (with subtitle)](/benchmarks/videommewithsub) | 69.0% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |
| [VideoMMMU](/benchmarks/videommmu) | 49.6% | [Liquid AI LFM3-VL-2B model card](https://huggingface.co/LiquidAI/LFM3-VL-2B/blob/f83d2b0a2296aaa277f394990a9b8b949ddf9691/README.md) |

## 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
- [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
- [LFM3-Omni-2B](/models/lfm3-omni-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