Gemma 2 9B vs Qwen2 72B Instruct Comparison

Comparing Gemma 2 9B and Qwen2 72B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Gemma 2 9B outperforms in 0 benchmarks, while Qwen2 72B Instruct is better at 8 benchmarks (ARC-C, GSM8k, HellaSwag, HumanEval, MATH, MBPP, MMLU, Winogrande).

Qwen2 72B Instruct significantly outperforms across most benchmarks.

Thu Mar 19 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
Thu Mar 19 2026 • llm-stats.com
Google
Gemma 2 9B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

62.8B diff

Qwen2 72B Instruct has 62.8B more parameters than Gemma 2 9B, making it 679.2% larger.

Google
Gemma 2 9B
9.2Bparameters
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
72.0Bparameters
9.2B
Gemma 2 9B
72.0B
Qwen2 72B Instruct

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Qwen2 72B Instruct uses tongyi-qianwen.

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

Gemma 2 9B

Gemma

Open weights

Qwen2 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Qwen2 72B Instruct was released on 2024-07-23.

Qwen2 72B Instruct is 1 month newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

1.7 years ago

Qwen2 72B Instruct

Jul 23, 2024

1.7 years ago

3w 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

Alibaba Cloud / Qwen Team

Qwen2 72B Instruct

View details

Alibaba Cloud / Qwen Team

Higher ARC-C score (68.9% vs 68.4%)
Higher GSM8k score (91.1% vs 68.6%)
Higher HellaSwag score (87.6% vs 81.9%)
Higher HumanEval score (86.0% vs 40.2%)
Higher MATH score (59.7% vs 36.6%)
Higher MBPP score (80.2% vs 52.4%)
Higher MMLU score (82.3% vs 71.3%)
Higher Winogrande score (85.1% vs 80.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 9B
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct