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LFM2.5-VL-3B vs Qwen3 VL 8B Thinking

Qwen3 VL 8B Thinking leads the LLM Stats Score 16.2 to 3.2.

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

Which is better?

Qwen3 VL 8B Thinking leads the overall LLM Stats Score 16.2 to 3.2, ranking #232 overall.

In the 13 individual benchmarks reported for both models, Qwen3 VL 8B Thinking wins 12; 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 LFM2.5-VL-3B

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

Choose Qwen3 VL 8B Thinking

  • overall performance matters — it scores 16.2 and ranks #232 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 12 of 13 exact shared results

At a glance

The differences that matter most.

LFM2.5-VL-3B
Liquid AI
Qwen3 VL 8B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
3.2
#317
16.2
#232
Reasoning
-2.3
#339
17.2
#219
Agents
-5.3
#189
4.3
#164
Cost, coverage & limits
Benchmark wins
1 of 13
12 of 13
Input price
— / M
$0.18 / M
Output price
— / M
$2.09 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LFM2.5-VL-3B
Qwen3 VL 8B Thinking
Vision
1.2#182
10.7#123
Multimodal
3.0#150
13.4#105
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LFM2.5-VL-3B · 50 for Qwen3 VL 8B Thinking

13 shared

LFM2.5-VL-3B outperforms in 1 benchmarks (OCRBench), while Qwen3 VL 8B Thinking is better at 12 benchmarks (BLINK, Hallusion Bench, IFEval, MathVista-Mini, MMBench-V1.1, MMMU-Pro, MMMU (val), MMStar, MuirBench, Multi-IF, OCRBench-V2 (en), RealWorldQA).

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.

Wed Oct 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

5.9B diff

Qwen3 VL 8B Thinking has 5.9B more parameters than LFM2.5-VL-3B, making it 188.1% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
9.0Bparameters
3.1B
LFM2.5-VL-3B
9.0B
Qwen3 VL 8B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 8B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 8B Thinking specifies output context (262,144 tokens).

Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LFM2.5-VL-3B and Qwen3 VL 8B Thinking support multimodal inputs.

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

LFM2.5-VL-3B

Text
Images
Audio
Video

Qwen3 VL 8B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while Qwen3 VL 8B Thinking 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

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while Qwen3 VL 8B Thinking was released on 2025-09-22.

LFM2.5-VL-3B is 11 months newer than Qwen3 VL 8B Thinking.

LFM2.5-VL-3B

Aug 12, 2026

1 months ago

10mo newer
Qwen3 VL 8B Thinking

Sep 22, 2025

1.0 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 LFM2.5-VL-3B and Qwen3 VL 8B Thinking side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Qwen3 VL 8B Thinking
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Qwen3 VL 8B Thinking.

Which is better, LFM2.5-VL-3B or Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking leads the LLM Stats Score 16.2 to 3.2. LFM2.5-VL-3B is made by Liquid AI and Qwen3 VL 8B 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 LFM2.5-VL-3B compare to Qwen3 VL 8B Thinking in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

What are the context window sizes for LFM2.5-VL-3B and Qwen3 VL 8B Thinking?

LFM2.5-VL-3B supports an unknown number of tokens and Qwen3 VL 8B Thinking 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 LFM2.5-VL-3B and Qwen3 VL 8B Thinking?

Key differences include LLM Stats Score (3.2 vs 16.2), 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 Qwen3 VL 8B Thinking?

LFM2.5-VL-3B is developed by Liquid AI and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.

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