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LFM2.5-VL-3B vs Qwen2.5 14B Instruct

Comparing LFM2.5-VL-3B and Qwen2.5 14B Instruct across benchmarks, pricing, and capabilities.

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

Which is better?

LFM2.5-VL-3B and Qwen2.5 14B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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 14B Instruct

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

LFM2.5-VL-3B
Liquid AI
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—
Released
Aug 2026
Sep 2024
License
LFM Open License v1.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

LFM2.5-VL-3B and Qwen2.5 14B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

11.6B diff

Qwen2.5 14B Instruct has 11.6B more parameters than LFM2.5-VL-3B, making it 370.6% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
3.1B
LFM2.5-VL-3B
14.7B
Qwen2.5 14B Instruct

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas Qwen2.5 14B 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 14B 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 14B Instruct 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

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while Qwen2.5 14B Instruct was released on 2024-09-19.

LFM2.5-VL-3B is 23 months newer than Qwen2.5 14B Instruct.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.9yr newer
Qwen2.5 14B 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 14B Instruct side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Qwen2.5 14B Instruct
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Qwen2.5 14B Instruct.

Which is better, LFM2.5-VL-3B or Qwen2.5 14B Instruct?

LFM2.5-VL-3B (Liquid AI) and Qwen2.5 14B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does LFM2.5-VL-3B compare to Qwen2.5 14B 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 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.

What are the main differences between LFM2.5-VL-3B and Qwen2.5 14B Instruct?

Key differences include 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 LFM2.5-VL-3B and Qwen2.5 14B Instruct?

LFM2.5-VL-3B is developed by Liquid AI and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.

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