Model Comparison

Gemma 2 9B vs Qwen3 32B

Comparing Gemma 2 9B and Qwen3 32B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 2 9B and Qwen3 32B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

23.6B diff

Qwen3 32B has 23.6B more parameters than Gemma 2 9B, making it 255.0% larger.

Gemma 2 9B

9.2Bparameters

Qwen3 32B

32.8Bparameters

9.2B

Gemma 2 9B

32.8B

Qwen3 32B

Context Window

Maximum input and output token capacity

Only Qwen3 32B specifies input context (128,000 tokens). Only Qwen3 32B specifies output context (128,000 tokens).

Gemma 2 9B

Input- tokens

Output- tokens

Qwen3 32B

Input128,000 tokens

Output128,000 tokens

Wed May 13 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Qwen3 32B uses Apache 2.0.

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

Gemma 2 9B

Gemma

Open weights

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Qwen3 32B was released on 2025-04-29.

Qwen3 32B is 10 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

1.9 years ago

Qwen3 32B

Apr 29, 2025

1.0 years ago

10mo newer

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?Start an Issue discussion→

Key Takeaways

Gemma 2 9B

View details

Google

No standout differentiators in the data we have for this pair.

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 2 9B	Qwen3 32B

FAQ

Common questions about Gemma 2 9B vs Qwen3 32B.

Which is better, Gemma 2 9B or Qwen3 32B?

Gemma 2 9B (Google) and Qwen3 32B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 2 9B compare to Qwen3 32B in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

What are the context window sizes for Gemma 2 9B and Qwen3 32B?

Gemma 2 9B supports an unknown number of tokens and Qwen3 32B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 2 9B and Qwen3 32B?

Key differences include licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and Qwen3 32B?

Gemma 2 9B is developed by Google and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.