The AI arena is free today

Open Superagent

LFM3-VL-2B vs QwQ-32B-Preview

LFM3-VL-2B and QwQ-32B-Preview are closely matched at 15.5 and 8.4 on the LLM Stats Score.

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

Which is better?

LFM3-VL-2B and QwQ-32B-Preview are closely matched on the overall LLM Stats Score at 15.5 and 8.4.

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 QwQ-32B-Preview

  • you want predictable pricing at $0.15/M input and $0.20/M output

At a glance

The differences that matter most.

Core performance indexes
15.5
#265
8.4
#311
16.2
#252
8.8
#303
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$0.20 / M
Context window
—
32,768

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-VL-2B
QwQ-32B-Preview
19.0#187
8.8#278
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 4 for QwQ-32B-Preview

No common benchmarks found

LFM3-VL-2B and QwQ-32B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

30.6B diff

QwQ-32B-Preview has 30.6B more parameters than LFM3-VL-2B, making it 1592.7% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
1.9B
LFM3-VL-2B
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Only QwQ-32B-Preview specifies input context (32,768 tokens). Only QwQ-32B-Preview specifies output context (32,768 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas QwQ-32B-Preview does not.

LFM3-VL-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-VL-2B

Text
Images
Audio
Video

QwQ-32B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while QwQ-32B-Preview 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

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while QwQ-32B-Preview was released on 2024-11-28.

LFM3-VL-2B is 23 months newer than QwQ-32B-Preview.

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

1.9yr newer
QwQ-32B-Preview

Nov 28, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while LFM3-VL-2B's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without LFM3-VL-2B's cutoff date.

LFM3-VL-2B

—

QwQ-32B-Preview

Nov 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

LFM3-VL-2B
✓ Preferred
QwQ-32B-Preview
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs QwQ-32B-Preview.

Which is better, LFM3-VL-2B or QwQ-32B-Preview?

LFM3-VL-2B and QwQ-32B-Preview are closely matched on the LLM Stats Score at 15.5 and 8.4. LFM3-VL-2B is made by Liquid AI and QwQ-32B-Preview 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 QwQ-32B-Preview in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

What are the context window sizes for LFM3-VL-2B and QwQ-32B-Preview?

LFM3-VL-2B supports an unknown number of tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LFM3-VL-2B and QwQ-32B-Preview?

Key differences include LLM Stats Score (15.5 vs 8.4), multimodal support (yes vs no), 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 QwQ-32B-Preview?

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