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LFM2.5-VL-3B vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

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

Which is better?

LFM2.5-VL-3B outperforms in 0 benchmarks, while Qwen2.5 72B Instruct is better at 1 benchmark (IFEval). Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

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 Qwen2.5 72B Instruct

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / M
Context window
131,072
Released
Aug 2026
Sep 2024
License
LFM Open License v1.0
Qwen

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

LFM2.5-VL-3B outperforms in 0 benchmarks, while Qwen2.5 72B Instruct is better at 1 benchmark (IFEval).

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

69.6B diff

Qwen2.5 72B Instruct has 69.6B more parameters than LFM2.5-VL-3B, making it 2227.5% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
3.1B
LFM2.5-VL-3B
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas Qwen2.5 72B Instruct 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

Qwen2.5 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while Qwen2.5 72B Instruct uses Qwen.

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

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while Qwen2.5 72B Instruct was released on 2024-09-19.

LFM2.5-VL-3B is 23 months newer than Qwen2.5 72B Instruct.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.9yr newer
Qwen2.5 72B Instruct

Sep 19, 2024

1.9 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?Start an Issue discussion

Judge for yourself.

Run your own prompts against LFM2.5-VL-3B and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Qwen2.5 72B Instruct
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Qwen2.5 72B Instruct.

Which is better, LFM2.5-VL-3B or Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. LFM2.5-VL-3B is made by Liquid AI and Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does LFM2.5-VL-3B compare to Qwen2.5 72B Instruct in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

What are the context window sizes for LFM2.5-VL-3B and Qwen2.5 72B Instruct?

LFM2.5-VL-3B supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K 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 Qwen2.5 72B Instruct?

Key differences include multimodal support (yes vs no), licensing (LFM Open License v1.0 vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM2.5-VL-3B and Qwen2.5 72B Instruct?

LFM2.5-VL-3B is developed by Liquid AI and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.