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LFM3-VL-2B vs Qwen3 VL 32B Thinking

Qwen3 VL 32B Thinking leads the LLM Stats Score 23.0 to 15.5.

Liquid AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 VL 32B Thinking leads the overall LLM Stats Score 23.0 to 15.5, ranking #211 overall.

In the 20 individual benchmarks reported for both models, Qwen3 VL 32B Thinking wins 16; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose LFM3-VL-2B

  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3 VL 32B Thinking

  • overall performance matters — it scores 23.0 and ranks #211 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 16 of 20 exact shared results

At a glance

The differences that matter most.

LFM3-VL-2B
Liquid AI
Qwen3 VL 32B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
15.5
#265
23.0
#211
Reasoning
16.2
#252
24.1
#191
Cost, coverage & limits
Benchmark wins
4 of 20
16 of 20
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
LFM3-VL-2B
Qwen3 VL 32B Thinking
Math
19.0#187
25.3#120
Vision
11.4#133
16.9#107
Multimodal
12.6#124
19.1#93
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 47 for Qwen3 VL 32B Thinking

20 shared

LFM3-VL-2B outperforms in 4 benchmarks (BLINK, CharXiv-R, OCRBench, RealWorldQA), while Qwen3 VL 32B Thinking is better at 16 benchmarks (CharXiv-D, ERQA, Hallusion Bench, LVBench, MathVision, MathVista-Mini, MMBench-V1.1, MMMU-Pro, MMMU (val), MMStar, MuirBench, MVBench, OCRBench-V2 (en), ScreenSpot Pro, VideoMME w/o sub., VideoMMMU).

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Mon Nov 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

31.1B diff

Qwen3 VL 32B Thinking has 31.1B more parameters than LFM3-VL-2B, making it 1618.8% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
33.0Bparameters
1.9B
LFM3-VL-2B
33.0B
Qwen3 VL 32B Thinking

Input capabilities

Documented input modalities across available providers

Both LFM3-VL-2B and Qwen3 VL 32B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

LFM3-VL-2B

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Qwen3 VL 32B Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

LFM3-VL-2B

LFM Open License v1.0

Open weights

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Qwen3 VL 32B Thinking was released on 2025-09-22.

LFM3-VL-2B is 13 months newer than Qwen3 VL 32B Thinking.

LFM3-VL-2B

Oct 27, 2026

6 days ago

1.1yr newer
Qwen3 VL 32B Thinking

Sep 22, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LFM3-VL-2B and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Qwen3 VL 32B Thinking.

Which is better, LFM3-VL-2B or Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking leads the LLM Stats Score 23.0 to 15.5. LFM3-VL-2B is made by Liquid AI and Qwen3 VL 32B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LFM3-VL-2B compare to Qwen3 VL 32B Thinking in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the main differences between LFM3-VL-2B and Qwen3 VL 32B Thinking?

Key differences include LLM Stats Score (15.5 vs 23.0), licensing (LFM Open License v1.0 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Qwen3 VL 32B Thinking?

LFM3-VL-2B is developed by Liquid AI and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

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