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LFM2.5-VL-3B vs Qwen2.5 7B Instruct

LFM2.5-VL-3B significantly outperforms across most benchmarks.

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

Which is better?

LFM2.5-VL-3B outperforms in 1 benchmarks (IFEval), while Qwen2.5 7B Instruct is better at 0 benchmarks. LFM2.5-VL-3B significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose LFM2.5-VL-3B

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

Choose Qwen2.5 7B Instruct

  • you want predictable pricing at $0.30/M input and $0.30/M output

At a glance

The differences that matter most.

Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.30 / M
Output price
— / M
$0.30 / M
Context window
131,072
Released
Aug 2026
Sep 2024
License
LFM Open License v1.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

LFM2.5-VL-3B outperforms in 1 benchmarks (IFEval), while Qwen2.5 7B Instruct is better at 0 benchmarks.

LFM2.5-VL-3B significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

4.5B diff

Qwen2.5 7B Instruct has 4.5B more parameters than LFM2.5-VL-3B, making it 143.6% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
3.1B
LFM2.5-VL-3B
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas Qwen2.5 7B 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 7B 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 7B 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 7B 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 7B Instruct was released on 2024-09-19.

LFM2.5-VL-3B is 23 months newer than Qwen2.5 7B Instruct.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.9yr newer
Qwen2.5 7B 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 7B Instruct side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Qwen2.5 7B Instruct
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Qwen2.5 7B Instruct.

Which is better, LFM2.5-VL-3B or Qwen2.5 7B Instruct?

LFM2.5-VL-3B significantly outperforms across most benchmarks. LFM2.5-VL-3B is made by Liquid AI and Qwen2.5 7B 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 7B 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 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

What are the context window sizes for LFM2.5-VL-3B and Qwen2.5 7B Instruct?

LFM2.5-VL-3B supports an unknown number of tokens and Qwen2.5 7B 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 7B 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 7B Instruct?

LFM2.5-VL-3B is developed by Liquid AI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.