Model Comparison

Gemma 2 9B vs Gemini 1.0 ProWhich is better in 2026?

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

Verdict: Gemma 2 9B vs Gemini 1.0 Pro — which is better?

Gemma 2 9B (by Google) and Gemini 1.0 Pro (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 2 9B outperforms in 1 benchmarks (MATH), while Gemini 1.0 Pro is better at 2 benchmarks (BIG-Bench, MMLU). Gemini 1.0 Pro shows notably better performance in the majority of benchmarks.

Choose Gemma 2 9B if…

  • you want the most recent training data — it shipped Jun 2024
  • you need open weights you can self-host or fine-tune

Choose Gemini 1.0 Pro if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

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

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

Sun Jun 14 2026 • llm-stats.com

Arena Performance

Human preference votes

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

License

Usage and distribution terms

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

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

Gemma 2 9B

Gemma

Open weights

Gemini 1.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

Gemma 2 9B

Jun 27, 2024

2.0 years ago

4mo newer
Gemini 1.0 Pro

Feb 15, 2024

2.3 years ago

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.

Gemma 2 9B

—

Gemini 1.0 Pro

Feb 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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

Detailed Comparison

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

FAQ

Common questions about Gemma 2 9B vs Gemini 1.0 Pro.

Which is better, Gemma 2 9B or Gemini 1.0 Pro?

Gemini 1.0 Pro shows notably better performance in the majority of benchmarks. Gemma 2 9B is made by Google and Gemini 1.0 Pro is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 2 9B compare to Gemini 1.0 Pro in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%.

What are the context window sizes for Gemma 2 9B and Gemini 1.0 Pro?

Gemma 2 9B supports an unknown number of tokens and Gemini 1.0 Pro supports 33K 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 Gemini 1.0 Pro?

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

Related comparisons