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Gemma 2 9B vs Gemma 3n E4B

Gemma 2 9B and Gemma 3n E4B are closely matched at -4.8 and -6.1 on the LLM Stats Score.

Google · Google · Updated for 2026

Which is better?

Gemma 2 9B and Gemma 3n E4B are closely matched on the overall LLM Stats Score at -4.8 and -6.1.

In the 9 individual benchmarks reported for both models, Gemma 2 9B wins 9; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 2 9B

  • you value its reported benchmark strengths — it wins 9 of 9 exact shared results
  • you need open weights you can self-host or fine-tune

Choose Gemma 3n E4B

  • you want the most recent training data — it shipped Jun 2025

At a glance

The differences that matter most.

Core performance indexes
-4.8
#352
-6.1
#359
-5.1
#345
-6.4
#351
Cost, coverage & limits
Benchmark wins
9 of 9
0 of 9
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 2 9B
Gemma 3n E4B
-3.8#313
-2.8#311
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 9B · 11 for Gemma 3n E4B

9 shared

Gemma 2 9B outperforms in 9 benchmarks (ARC-C, ARC-E, BoolQ, HellaSwag, Natural Questions, PIQA, Social IQa, TriviaQA, Winogrande), while Gemma 3n E4B is better at 0 benchmarks.

Gemma 2 9B significantly outperforms across most benchmarks.

Tue Sep 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1.2B diff

Gemma 2 9B has 1.2B more parameters than Gemma 3n E4B, making it 15.5% larger.

Google
Gemma 2 9B
9.2Bparameters
Google
Gemma 3n E4B
8.0Bparameters
9.2B
Gemma 2 9B
8.0B
Gemma 3n E4B

Input capabilities

Documented input modalities across available providers

Gemma 3n E4B supports multimodal inputs, whereas Gemma 2 9B does not.

Gemma 3n E4B 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 E4B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Gemma 3n E4B 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 E4B

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Gemma 3n E4B was released on 2025-06-26.

Gemma 3n E4B is 12 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.2 years ago

Gemma 3n E4B

Jun 26, 2025

1.2 years ago

12mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while Gemma 2 9B's cutoff date is not specified.

We can confirm Gemma 3n E4B'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 E4B

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemma 2 9B and Gemma 3n E4B side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
Gemma 3n E4B
Open in Playground

FAQ

Common questions about Gemma 2 9B vs Gemma 3n E4B.

Which is better, Gemma 2 9B or Gemma 3n E4B?

Gemma 2 9B and Gemma 3n E4B are closely matched on the LLM Stats Score at -4.8 and -6.1. Gemma 2 9B is made by Google and Gemma 3n E4B is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 2 9B compare to Gemma 3n E4B in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%.

What are the main differences between Gemma 2 9B and Gemma 3n E4B?

Key differences include LLM Stats Score (-4.8 vs -6.1), multimodal support (no vs yes), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.