The AI arena is free today

Open Superagent

LFM3-1.7B vs QwQ-32B-Preview

LFM3-1.7B leads the LLM Stats Score 25.0 to 8.4.

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

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 8.4, ranking #191 overall.

In the 1 individual benchmarks reported for both models, QwQ-32B-Preview wins 1; this is a narrower head-to-head signal than the composite indexes.

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 #191 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose QwQ-32B-Preview

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

Core performance indexes
25.0
#191
8.4
#311
20.8
#216
8.8
#303
7.4
#218
4.4
#241
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.15 / M
Output price
— / M
$0.20 / M
Context window
—
32,768

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-1.7B
QwQ-32B-Preview
7.6#285
8.8#278
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 4 for QwQ-32B-Preview

1 shared

LFM3-1.7B outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 1 benchmark (GPQA).

QwQ-32B-Preview significantly outperforms across most benchmarks.

Wed Nov 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

30.8B diff

QwQ-32B-Preview has 30.8B more parameters than LFM3-1.7B, making it 1778.6% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
1.7B
LFM3-1.7B
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Only QwQ-32B-Preview specifies input context (32,768 tokens). Only QwQ-32B-Preview specifies output context (32,768 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Wed Nov 04 2026 • llm-stats.com

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while QwQ-32B-Preview uses Apache 2.0.

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

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while QwQ-32B-Preview was released on 2024-11-28.

LFM3-1.7B is 23 months newer than QwQ-32B-Preview.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

1.9yr newer
QwQ-32B-Preview

Nov 28, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while LFM3-1.7B's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

LFM3-1.7B

—

QwQ-32B-Preview

Nov 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LFM3-1.7B and QwQ-32B-Preview side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
QwQ-32B-Preview
Open in Playground

FAQ

Common questions about LFM3-1.7B vs QwQ-32B-Preview.

Which is better, LFM3-1.7B or QwQ-32B-Preview?

LFM3-1.7B leads the LLM Stats Score 25.0 to 8.4. LFM3-1.7B is made by Liquid AI and QwQ-32B-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 QwQ-32B-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%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

What are the context window sizes for LFM3-1.7B and QwQ-32B-Preview?

LFM3-1.7B supports an unknown number of tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LFM3-1.7B and QwQ-32B-Preview?

Key differences include LLM Stats Score (25.0 vs 8.4), licensing (LFM Open License v1.0 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and QwQ-32B-Preview?

LFM3-1.7B is developed by Liquid AI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.