Model Comparison

Gemma 2 9B vs Gemma 3n E2B InstructedWhich is better in 2026?

Gemma 3n E2B Instructed shows notably better performance in the majority of benchmarks.

Verdict: Gemma 2 9B vs Gemma 3n E2B Instructed — which is better?

Gemma 2 9B (by Google) and Gemma 3n E2B Instructed (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 (MMLU), while Gemma 3n E2B Instructed is better at 2 benchmarks (HumanEval, MBPP). Gemma 3n E2B Instructed shows notably better performance in the majority of benchmarks.

Choose Gemma 2 9B if…

  • you need open weights you can self-host or fine-tune

Choose Gemma 3n E2B Instructed if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • you want the most recent training data — it shipped Jun 2025
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 2 9B outperforms in 1 benchmarks (MMLU), while Gemma 3n E2B Instructed is better at 2 benchmarks (HumanEval, MBPP).

Gemma 3n E2B Instructed shows notably better performance in the majority of benchmarks.

Thu Jun 18 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 Gemma 3n E2B Instructed, making it 15.5% larger.

Google
Gemma 2 9B
9.2Bparameters
Google
Gemma 3n E2B Instructed
8.0Bparameters
9.2B
Gemma 2 9B
8.0B
Gemma 3n E2B Instructed

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed supports multimodal inputs, whereas Gemma 2 9B does not.

Gemma 3n E2B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 9B

Text
Images
Audio
Video

Gemma 3n E2B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Gemma 3n E2B Instructed 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

Gemma 3n E2B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Gemma 3n E2B Instructed was released on 2025-06-26.

Gemma 3n E2B Instructed is 12 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.0 years ago

Gemma 3n E2B Instructed

Jun 26, 2025

11 months ago

12mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while Gemma 2 9B's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Gemma 2 9B's cutoff date.

Gemma 2 9B

—

Gemma 3n E2B Instructed

Jun 2024

Outputs Comparison

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Key Takeaways

Google
Has open weights
Higher MMLU score (71.3% vs 60.1%)
Google
Supports multimodal inputs
Higher HumanEval score (66.5% vs 40.2%)
Higher MBPP score (56.6% vs 52.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 9B
Google
Gemma 3n E2B Instructed

FAQ

Common questions about Gemma 2 9B vs Gemma 3n E2B Instructed.

Which is better, Gemma 2 9B or Gemma 3n E2B Instructed?

Gemma 3n E2B Instructed shows notably better performance in the majority of benchmarks. Gemma 2 9B is made by Google and Gemma 3n E2B Instructed 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 Gemma 3n E2B Instructed in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%.

What are the main differences between Gemma 2 9B and Gemma 3n E2B Instructed?

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

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