Model Comparison

Gemma 3n E2B Instructed vs QwQ-32B-PreviewWhich is better in 2026?

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

Verdict: Gemma 3n E2B Instructed vs QwQ-32B-Preview — which is better?

Gemma 3n E2B Instructed (by Google) and QwQ-32B-Preview (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 2 benchmarks (GPQA, LiveCodeBench). QwQ-32B-Preview significantly outperforms across most benchmarks.

Choose Gemma 3n E2B Instructed if…

  • you want the most recent training data — it shipped Jun 2025

Choose QwQ-32B-Preview if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 2 benchmarks (GPQA, LiveCodeBench).

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

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

24.5B diff

QwQ-32B-Preview has 24.5B more parameters than Gemma 3n E2B Instructed, making it 306.3% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
8.0B
Gemma 3n E2B Instructed
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
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Gemma 3n E2B Instructed

Text
Images
Audio
Video

QwQ-32B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, 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

Proprietary

Closed source

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while QwQ-32B-Preview was released on 2024-11-28.

Gemma 3n E2B Instructed is 7 months newer than QwQ-32B-Preview.

Gemma 3n E2B Instructed

Jun 26, 2025

1.1 years ago

7mo newer
QwQ-32B-Preview

Nov 28, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

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

Gemma 3n E2B Instructed

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)
Has open weights
Higher GPQA score (65.2% vs 24.8%)
Higher LiveCodeBench score (50.0% vs 13.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed and QwQ-32B-Preview side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed
✓ Preferred
QwQ-32B-Preview
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about Gemma 3n E2B Instructed vs QwQ-32B-Preview.

Which is better, Gemma 3n E2B Instructed or QwQ-32B-Preview?

QwQ-32B-Preview significantly outperforms across most benchmarks. Gemma 3n E2B Instructed 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.

How does Gemma 3n E2B Instructed compare to QwQ-32B-Preview in benchmarks?

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. 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 Gemma 3n E2B Instructed and QwQ-32B-Preview?

Gemma 3n E2B Instructed 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 Gemma 3n E2B Instructed and QwQ-32B-Preview?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B Instructed and QwQ-32B-Preview?

Gemma 3n E2B Instructed is developed by Google and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.

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