Model Comparison

Gemma 3n E2B Instructed LiteRT (Preview) vs QwQ-32B-Preview

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

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 3n E2B 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.

Wed Apr 29 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
Wed Apr 29 2026 • llm-stats.com
Google
Gemma 3n E2B 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 E2B Instructed LiteRT (Preview), making it 1601.6% larger.

Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
1.9B
Gemma 3n E2B 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 E2B Instructed LiteRT (Preview)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Wed Apr 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs, whereas QwQ-32B-Preview does not.

Gemma 3n E2B Instructed LiteRT (Preview) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

QwQ-32B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B 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 E2B Instructed LiteRT (Preview)

Gemma

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while QwQ-32B-Preview was released on 2024-11-28.

Gemma 3n E2B Instructed LiteRT (Preview) is 6 months newer than QwQ-32B-Preview.

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

11 months ago

5mo newer
QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B 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 E2B Instructed LiteRT (Preview) (2024-06-01).

Gemma 3n E2B 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

Google
Supports multimodal inputs
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 24.8%)
Higher LiveCodeBench score (50.0% vs 13.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed LiteRT (Preview)
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs QwQ-32B-Preview

QwQ-32B-Preview significantly outperforms across most benchmarks. Gemma 3n E2B Instructed LiteRT (Preview) is made by Google and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3n E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
Gemma 3n E2B Instructed LiteRT (Preview) 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.
Key differences include multimodal support (yes vs no), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.