Gemma 3n E4B Instructed LiteRT Preview vs QwQ-32B-Preview Comparison

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 3n E4B Instructed LiteRT Preview outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 2 benchmarks (GPQA, LiveCodeBench).

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

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed LiteRT Preview
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

30.6B diff

QwQ-32B-Preview has 30.6B more parameters than Gemma 3n E4B Instructed LiteRT Preview, making it 1601.6% larger.

Google
Gemma 3n E4B Instructed LiteRT Preview
1.9Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
1.9B
Gemma 3n E4B Instructed LiteRT Preview
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).

Google
Gemma 3n E4B Instructed LiteRT Preview
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs, whereas QwQ-32B-Preview does not.

Gemma 3n E4B Instructed LiteRT Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B Instructed LiteRT Preview

Text
Images
Audio
Video

QwQ-32B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed LiteRT Preview is licensed under Gemma, while QwQ-32B-Preview uses Apache 2.0.

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

Gemma 3n E4B Instructed LiteRT Preview

Gemma

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed LiteRT Preview was released on 2025-05-20, while QwQ-32B-Preview was released on 2024-11-28.

Gemma 3n E4B Instructed LiteRT Preview is 6 months newer than QwQ-32B-Preview.

Gemma 3n E4B Instructed LiteRT Preview

May 20, 2025

9 months ago

5mo newer
QwQ-32B-Preview

Nov 28, 2024

1.3 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed LiteRT Preview has a knowledge cutoff of 2024-06-01, while QwQ-32B-Preview has a cutoff of 2024-11-28.

QwQ-32B-Preview has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to Gemma 3n E4B Instructed LiteRT Preview (2024-06-01).

Gemma 3n E4B Instructed LiteRT Preview

Jun 2024

QwQ-32B-Preview

Nov 2024

5 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Larger context window (32,768 tokens)
Higher GPQA score (65.2% vs 23.7%)
Higher LiveCodeBench score (50.0% vs 13.2%)

Detailed Comparison