Gemma 2 9B vs Gemma 2 27B

Comparing Gemma 2 9B by Google and Gemma 2 27B by Google across benchmarks, pricing, and capabilities.

Gemma 2 27B significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

16 benchmarks

Gemma 2 9B outperforms in 0 benchmarks, while Gemma 2 27B is better at 16 benchmarks (AGIEval, ARC-C, ARC-E, BIG-Bench, BoolQ, GSM8k, HellaSwag, HumanEval, MATH, MBPP, MMLU, Natural Questions, PIQA, Social IQa, TriviaQA, Winogrande).

Gemma 2 27B significantly outperforms across most benchmarks.

Tue Mar 24 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
Tue Mar 24 2026 • llm-stats.com
Google
Gemma 2 9B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Google
Gemma 2 27B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

18.0B diff

Gemma 2 27B has 18.0B more parameters than Gemma 2 9B, making it 194.4% larger.

Google
Gemma 2 9B
9.2Bparameters
Google
Gemma 2 27B
27.2Bparameters
9.2B
Gemma 2 9B
27.2B
Gemma 2 27B

License

Usage and distribution terms

Both models are licensed under Gemma.

Both models share the same licensing terms, providing consistent usage rights.

Gemma 2 9B

Gemma

Open weights

Gemma 2 27B

Gemma

Open weights

Release Timeline

When each model was launched

Both models were released on 2024-06-27.

They likely represent similar generations of model development.

Gemma 2 9B

Jun 27, 2024

1.7 years ago

Gemma 2 27B

Jun 27, 2024

1.7 years ago

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

Higher AGIEval score (55.1% vs 52.8%)
Higher ARC-C score (71.4% vs 68.4%)
Higher ARC-E score (88.6% vs 88.0%)
Higher BIG-Bench score (74.9% vs 68.2%)
Higher BoolQ score (84.8% vs 84.2%)
Higher GSM8k score (74.0% vs 68.6%)
Higher HellaSwag score (86.4% vs 81.9%)
Higher HumanEval score (51.8% vs 40.2%)
Higher MATH score (42.3% vs 36.6%)
Higher MBPP score (62.6% vs 52.4%)
Higher MMLU score (75.2% vs 71.3%)
Higher Natural Questions score (34.5% vs 29.2%)
Higher PIQA score (83.2% vs 81.7%)
Higher Social IQa score (53.7% vs 53.4%)
Higher TriviaQA score (83.7% vs 76.6%)
Higher Winogrande score (83.7% vs 80.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 9B
Google
Gemma 2 27B