Model Comparison

Gemma 2 9B vs Gemini 1.5 Flash 8B

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 2 9B outperforms in 0 benchmarks, while Gemini 1.5 Flash 8B is better at 1 benchmark (MATH).

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

Wed May 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

1.2B diff

Gemma 2 9B has 1.2B more parameters than Gemini 1.5 Flash 8B, making it 15.5% larger.

Google
Gemma 2 9B
9.2Bparameters
Google
Gemini 1.5 Flash 8B
8.0Bparameters
9.2B
Gemma 2 9B
8.0B
Gemini 1.5 Flash 8B

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash 8B specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash 8B specifies output context (8,192 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Wed May 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash 8B supports multimodal inputs, whereas Gemma 2 9B does not.

Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 9B

Text
Images
Audio
Video

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Gemini 1.5 Flash 8B 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 1.5 Flash 8B

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Gemini 1.5 Flash 8B was released on 2024-03-15.

Gemma 2 9B is 3 months newer than Gemini 1.5 Flash 8B.

Gemma 2 9B

Jun 27, 2024

1.9 years ago

3mo newer
Gemini 1.5 Flash 8B

Mar 15, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Gemma 2 9B's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without Gemma 2 9B's cutoff date.

Gemma 2 9B

—

Gemini 1.5 Flash 8B

Oct 2024

Outputs Comparison

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Key Takeaways

Google
Has open weights
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher MATH score (58.7% vs 36.6%)
GoogleGemma 2 9B
GoogleGemini 1.5 Flash 8B
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 9B
Google
Gemini 1.5 Flash 8B

FAQ

Common questions about Gemma 2 9B vs Gemini 1.5 Flash 8B.

Which is better, Gemma 2 9B or Gemini 1.5 Flash 8B?

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks. Gemma 2 9B is made by Google and Gemini 1.5 Flash 8B 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 1.5 Flash 8B in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%.

What are the context window sizes for Gemma 2 9B and Gemini 1.5 Flash 8B?

Gemma 2 9B supports an unknown number of tokens and Gemini 1.5 Flash 8B supports 1.0M 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 1.5 Flash 8B?

Key differences include multimodal support (no vs yes), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.