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LFM3-VL-2B vs Qwen3 VL 235B A22B Instruct

Qwen3 VL 235B A22B Instruct leads the LLM Stats Score 24.0 to 15.5.

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

Which is better?

Qwen3 VL 235B A22B Instruct leads the overall LLM Stats Score 24.0 to 15.5, ranking #199 overall.

In the 17 individual benchmarks reported for both models, Qwen3 VL 235B A22B Instruct wins 14; 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 235B A22B Instruct

  • overall performance matters — it scores 24.0 and ranks #199 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 14 of 17 exact shared results

At a glance

The differences that matter most.

LFM3-VL-2B
Liquid AI
Qwen3 VL 235B A22B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
15.5
#265
24.0
#199
Reasoning
16.2
#252
21.9
#206
Cost, coverage & limits
Benchmark wins
3 of 17
14 of 17
Input price
— / M
$0.20 / M
Output price
— / M
$0.88 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
LFM3-VL-2B
Qwen3 VL 235B A22B Instruct
Math
19.0#187
23.7#137
Vision
11.4#133
17.9#104
Multimodal
12.6#124
20.2#86
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 50 for Qwen3 VL 235B A22B Instruct

17 shared

LFM3-VL-2B outperforms in 3 benchmarks (BLINK, CharXiv-R, Hallusion Bench), while Qwen3 VL 235B A22B Instruct is better at 13 benchmarks (ERQA, LVBench, MathVision, MathVista-Mini, MMBench-V1.1, MMMU-Pro, MMStar, MuirBench, OCRBench, OCRBench-V2 (en), ScreenSpot Pro, VideoMME w/o sub., VideoMMMU).

Qwen3 VL 235B A22B Instruct 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

234.1B diff

Qwen3 VL 235B A22B Instruct has 234.1B more parameters than LFM3-VL-2B, making it 12191.7% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
236.0Bparameters
1.9B
LFM3-VL-2B
236.0B
Qwen3 VL 235B A22B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Instruct specifies output context (262,144 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LFM3-VL-2B and Qwen3 VL 235B A22B Instruct 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 235B A22B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Qwen3 VL 235B A22B Instruct 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 235B A22B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.

LFM3-VL-2B is 13 months newer than Qwen3 VL 235B A22B Instruct.

LFM3-VL-2B

Oct 27, 2026

5 days ago

1.1yr newer
Qwen3 VL 235B A22B Instruct

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 235B A22B Instruct side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Qwen3 VL 235B A22B Instruct
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Qwen3 VL 235B A22B Instruct.

Which is better, LFM3-VL-2B or Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct leads the LLM Stats Score 24.0 to 15.5. LFM3-VL-2B is made by Liquid AI and Qwen3 VL 235B A22B Instruct 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 235B A22B Instruct in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Qwen3 VL 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.

What are the context window sizes for LFM3-VL-2B and Qwen3 VL 235B A22B Instruct?

LFM3-VL-2B supports an unknown number of tokens and Qwen3 VL 235B A22B Instruct supports 262K 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 VL 235B A22B Instruct?

Key differences include LLM Stats Score (15.5 vs 24.0), 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 235B A22B Instruct?

LFM3-VL-2B is developed by Liquid AI and Qwen3 VL 235B A22B Instruct is developed by Alibaba Cloud / Qwen Team.

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