Gemini 1.0 Pro vs Gemma 2 9B Comparison

Comparing Gemini 1.0 Pro and Gemma 2 9B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 1.0 Pro outperforms in 2 benchmarks (BIG-Bench, MMLU), while Gemma 2 9B is better at 1 benchmark (MATH).

Gemini 1.0 Pro shows notably better performance in the majority of benchmarks.

Sat Mar 14 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
Sat Mar 14 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Google
Gemma 2 9B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Google
Gemma 2 9B
Input- tokens
Output- tokens
Sat Mar 14 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while Gemma 2 9B uses Gemma.

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

Gemini 1.0 Pro

Proprietary

Closed source

Gemma 2 9B

Gemma

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Gemma 2 9B was released on 2024-06-27.

Gemma 2 9B is 4 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.1 years ago

Gemma 2 9B

Jun 27, 2024

1.7 years ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Gemma 2 9B's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Gemma 2 9B's cutoff date.

Gemini 1.0 Pro

Feb 2024

Gemma 2 9B

Outputs Comparison

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Key Takeaways

Larger context window (32,760 tokens)
Higher BIG-Bench score (75.0% vs 68.2%)
Higher MMLU score (71.8% vs 71.3%)
Has open weights
Higher MATH score (36.6% vs 32.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
Google
Gemma 2 9B