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LFM3-1.7B vs QvQ-72B-Preview

LFM3-1.7B leads the LLM Stats Score 25.0 to 7.5.

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

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 7.5, ranking #192 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose LFM3-1.7B

  • overall performance matters — it scores 25.0 and ranks #192 on LLM Stats
  • you want the most recent training data — it shipped Oct 2026

Choose QvQ-72B-Preview

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

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
25.0
#192
7.5
#322
Reasoning
20.8
#216
7.8
#315
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-1.7B
QvQ-72B-Preview
Math
7.6#285
9.4#275
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 4 for QvQ-72B-Preview

No common benchmarks found

LFM3-1.7B and QvQ-72B-Previewdon'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

71.7B diff

QvQ-72B-Preview has 71.7B more parameters than LFM3-1.7B, making it 4142.8% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
1.7B
LFM3-1.7B
73.4B
QvQ-72B-Preview

Input capabilities

Documented input modalities across available providers

QvQ-72B-Preview supports multimodal inputs, whereas LFM3-1.7B does not.

QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-1.7B

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while QvQ-72B-Preview uses Qwen.

License differences may affect how you can use these models in commercial or open-source projects.

LFM3-1.7B

LFM Open License v1.0

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while QvQ-72B-Preview was released on 2024-12-25.

LFM3-1.7B is 22 months newer than QvQ-72B-Preview.

LFM3-1.7B

Oct 27, 2026

4 days ago

1.8yr newer
QvQ-72B-Preview

Dec 25, 2024

1.8 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 LFM3-1.7B and QvQ-72B-Preview side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about LFM3-1.7B vs QvQ-72B-Preview.

Which is better, LFM3-1.7B or QvQ-72B-Preview?

LFM3-1.7B leads the LLM Stats Score 25.0 to 7.5. LFM3-1.7B is made by Liquid AI and QvQ-72B-Preview 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 LFM3-1.7B compare to QvQ-72B-Preview in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the main differences between LFM3-1.7B and QvQ-72B-Preview?

Key differences include LLM Stats Score (25.0 vs 7.5), multimodal support (no vs yes), licensing (LFM Open License v1.0 vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and QvQ-72B-Preview?

LFM3-1.7B is developed by Liquid AI and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.

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