Model Comparison

Gemma 2 9B vs Qwen3-235B-A22B-Thinking-2507

Comparing Gemma 2 9B and Qwen3-235B-A22B-Thinking-2507 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 2 9B and Qwen3-235B-A22B-Thinking-2507 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

225.8B diff

Qwen3-235B-A22B-Thinking-2507 has 225.8B more parameters than Gemma 2 9B, making it 2443.3% larger.

Gemma 2 9B

9.2Bparameters

Qwen3-235B-A22B-Thinking-2507

235.0Bparameters

9.2B

Gemma 2 9B

235.0B

Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).

Gemma 2 9B

Input- tokens

Output- tokens

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Thu May 14 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Qwen3-235B-A22B-Thinking-2507 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

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 13 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

1.9 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

9 months ago

1.1yr 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

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Key Takeaways

Gemma 2 9B

View details

Google

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

Qwen3-235B-A22B-Thinking-2507

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 2 9B	Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about Gemma 2 9B vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Gemma 2 9B or Qwen3-235B-A22B-Thinking-2507?

Gemma 2 9B (Google) and Qwen3-235B-A22B-Thinking-2507 (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 Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

What are the context window sizes for Gemma 2 9B and Qwen3-235B-A22B-Thinking-2507?

Gemma 2 9B supports an unknown number of tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K 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 Qwen3-235B-A22B-Thinking-2507?

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 Qwen3-235B-A22B-Thinking-2507?

Gemma 2 9B is developed by Google and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.