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LFM3-VL-2B vs Qwen2.5 72B Instruct

LFM3-VL-2B and Qwen2.5 72B Instruct are closely matched at 15.5 and 11.6 on the LLM Stats Score.

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

Which is better?

LFM3-VL-2B and Qwen2.5 72B Instruct are closely matched on the overall LLM Stats Score at 15.5 and 11.6.

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 Qwen2.5 72B Instruct

  • you want predictable pricing at $0.35/M input and $0.40/M output

At a glance

The differences that matter most.

Core performance indexes
15.5
#265
11.6
#293
16.2
#252
11.7
#286
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / M
Context window
—
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-VL-2B
Qwen2.5 72B Instruct
19.0#187
17.8#207
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 14 for Qwen2.5 72B Instruct

No common benchmarks found

LFM3-VL-2B and Qwen2.5 72B Instructdon'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

70.8B diff

Qwen2.5 72B Instruct has 70.8B more parameters than LFM3-VL-2B, making it 3686.5% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
1.9B
LFM3-VL-2B
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
LFM3-VL-2B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Qwen2.5 72B Instruct 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

Qwen2.5 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B 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.

LFM3-VL-2B

LFM Open License v1.0

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Qwen2.5 72B Instruct was released on 2024-09-19.

LFM3-VL-2B is 26 months newer than Qwen2.5 72B Instruct.

LFM3-VL-2B

Oct 27, 2026

4 days ago

2.1yr newer
Qwen2.5 72B Instruct

Sep 19, 2024

2.1 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 Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Qwen2.5 72B Instruct
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Qwen2.5 72B Instruct.

Which is better, LFM3-VL-2B or Qwen2.5 72B Instruct?

LFM3-VL-2B and Qwen2.5 72B Instruct are closely matched on the LLM Stats Score at 15.5 and 11.6. LFM3-VL-2B 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 capability indexes, individual benchmarks, pricing, and limits above.

How does LFM3-VL-2B compare to Qwen2.5 72B Instruct in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. 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 LFM3-VL-2B and Qwen2.5 72B Instruct?

LFM3-VL-2B 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 LFM3-VL-2B and Qwen2.5 72B Instruct?

Key differences include LLM Stats Score (15.5 vs 11.6), 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 LFM3-VL-2B and Qwen2.5 72B Instruct?

LFM3-VL-2B is developed by Liquid AI and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.