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LFM3-VL-2B vs Qwen3 32B

LFM3-VL-2B and Qwen3 32B are closely matched at 15.5 and 17.9 on the LLM Stats Score.

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

Which is better?

LFM3-VL-2B and Qwen3 32B are closely matched on the overall LLM Stats Score at 15.5 and 17.9.

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 32B

  • you want predictable pricing at $0.08/M input and $0.28/M output

At a glance

The differences that matter most.

Core performance indexes
15.5
#265
17.9
#249
16.2
#252
18.2
#244
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.08 / M
Output price
— / M
$0.28 / M
Context window
—
40,960

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-VL-2B
Qwen3 32B
19.0#187
21.3#162
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 9 for Qwen3 32B

No common benchmarks found

LFM3-VL-2B and Qwen3 32Bdon'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

30.9B diff

Qwen3 32B has 30.9B more parameters than LFM3-VL-2B, making it 1608.3% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
1.9B
LFM3-VL-2B
32.8B
Qwen3 32B

Context Window

Maximum input and output token capacity

Only Qwen3 32B specifies input context (40,960 tokens). Only Qwen3 32B specifies output context (40,960 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input40,960 tokens
Output40,960 tokens
Thu Nov 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Qwen3 32B 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

Qwen3 32B

Text
Images
Audio
Video

License

Usage and distribution terms

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

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Qwen3 32B was released on 2025-04-29.

LFM3-VL-2B is 18 months newer than Qwen3 32B.

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

1.5yr newer
Qwen3 32B

Apr 29, 2025

1.5 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 32B side-by-side, then vote on the output you prefer.

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

FAQ

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

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

LFM3-VL-2B and Qwen3 32B are closely matched on the LLM Stats Score at 15.5 and 17.9. LFM3-VL-2B is made by Liquid AI and Qwen3 32B 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 32B in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

What are the context window sizes for LFM3-VL-2B and Qwen3 32B?

LFM3-VL-2B supports an unknown number of tokens and Qwen3 32B supports 41K 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 Qwen3 32B?

Key differences include LLM Stats Score (15.5 vs 17.9), 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 Qwen3 32B?

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