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LFM2.5-VL-3B vs QwQ-32B-Preview

Comparing LFM2.5-VL-3B and QwQ-32B-Preview across benchmarks, pricing, and capabilities.

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

Which is better?

LFM2.5-VL-3B and QwQ-32B-Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose LFM2.5-VL-3B

  • you want the most recent training data — it shipped Aug 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.

LFM2.5-VL-3B
Liquid AI
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$0.20 / M
Context window
—
32,768
Released
Aug 2026
Nov 2024
License
LFM Open License v1.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

LFM2.5-VL-3B and QwQ-32B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

29.4B diff

QwQ-32B-Preview has 29.4B more parameters than LFM2.5-VL-3B, making it 940.5% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
3.1B
LFM2.5-VL-3B
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
LFM2.5-VL-3B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas QwQ-32B-Preview does not.

LFM2.5-VL-3B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM2.5-VL-3B

Text
Images
Audio
Video

QwQ-32B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B 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.

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while QwQ-32B-Preview was released on 2024-11-28.

LFM2.5-VL-3B is 21 months newer than QwQ-32B-Preview.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.7yr newer
QwQ-32B-Preview

Nov 28, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while LFM2.5-VL-3B'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 LFM2.5-VL-3B's cutoff date.

LFM2.5-VL-3B

—

QwQ-32B-Preview

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against LFM2.5-VL-3B and QwQ-32B-Preview side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
QwQ-32B-Preview
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs QwQ-32B-Preview.

Which is better, LFM2.5-VL-3B or QwQ-32B-Preview?

LFM2.5-VL-3B (Liquid AI) and QwQ-32B-Preview (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does LFM2.5-VL-3B compare to QwQ-32B-Preview in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. 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 LFM2.5-VL-3B and QwQ-32B-Preview?

LFM2.5-VL-3B 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 LFM2.5-VL-3B and QwQ-32B-Preview?

Key differences include 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 LFM2.5-VL-3B and QwQ-32B-Preview?

LFM2.5-VL-3B is developed by Liquid AI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.

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