Model Comparison

Gemma 3n E2B Instructed LiteRT (Preview) vs Gemma 3n E4B InstructedWhich is better in 2026?

Gemma 3n E4B Instructed significantly outperforms across most benchmarks.

Verdict: Gemma 3n E2B Instructed LiteRT (Preview) vs Gemma 3n E4B Instructed — which is better?

Gemma 3n E2B Instructed LiteRT (Preview) (by Google) and Gemma 3n E4B 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 3n E2B Instructed LiteRT (Preview) outperforms in 1 benchmarks (GPQA), while Gemma 3n E4B Instructed is better at 15 benchmarks (AIME 2025, Codegolf v2.2, ECLeKTic, Global-MMLU, Global-MMLU-Lite, HiddenMath, HumanEval, Include, LiveCodeBench v5, MBPP, MGSM, MMLU, MMLU-Pro, MMLU-ProX, WMT24++). Gemma 3n E4B Instructed significantly outperforms across most benchmarks.

Choose Gemma 3n E2B Instructed LiteRT (Preview) if…

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

Choose Gemma 3n E4B Instructed if…

  • you want the strongest raw capability — it leads on 16 of 17 shared benchmarks
  • you want the most recent training data — it shipped Jun 2025
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

17 benchmarks

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 1 benchmarks (GPQA), while Gemma 3n E4B Instructed is better at 15 benchmarks (AIME 2025, Codegolf v2.2, ECLeKTic, Global-MMLU, Global-MMLU-Lite, HiddenMath, HumanEval, Include, LiveCodeBench v5, MBPP, MGSM, MMLU, MMLU-Pro, MMLU-ProX, WMT24++).

Gemma 3n E4B Instructed significantly outperforms across most benchmarks.

Thu Jun 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

6.1B diff

Gemma 3n E4B Instructed has 6.1B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 318.8% larger.

Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
Google
Gemma 3n E4B Instructed
8.0Bparameters
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)
8.0B
Gemma 3n E4B Instructed

Context Window

Maximum input and output token capacity

Only Gemma 3n E4B Instructed specifies input context (32,000 tokens). Only Gemma 3n E4B Instructed specifies output context (32,000 tokens).

Google
Gemma 3n E2B Instructed LiteRT (Preview)
Input- tokens
Output- tokens
Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Thu Jun 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B Instructed LiteRT (Preview) and Gemma 3n E4B Instructed support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

Gemma 3n E4B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed LiteRT (Preview) is licensed under Gemma, while Gemma 3n E4B Instructed uses a proprietary license.

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

Gemma 3n E2B Instructed LiteRT (Preview)

Gemma

Open weights

Gemma 3n E4B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while Gemma 3n E4B Instructed was released on 2025-06-26.

Gemma 3n E4B Instructed is 1 month newer than Gemma 3n E2B Instructed LiteRT (Preview).

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.1 years ago

Gemma 3n E4B Instructed

Jun 26, 2025

12 months ago

1mo newer

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2024-06-01.

They should have similar awareness of historical events and information up to this date.

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

Gemma 3n E4B Instructed

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Has open weights
Higher GPQA score (24.8% vs 23.7%)
Google
Larger context window (32,000 tokens)
Higher AIME 2025 score (11.6% vs 6.7%)
Higher Codegolf v2.2 score (16.8% vs 11.0%)
Higher ECLeKTic score (19.0% vs 2.5%)
Higher Global-MMLU score (60.3% vs 55.1%)
Higher Global-MMLU-Lite score (64.5% vs 59.0%)
Higher HiddenMath score (37.7% vs 27.7%)
Higher HumanEval score (75.0% vs 66.5%)
Higher Include score (57.2% vs 38.6%)
Higher LiveCodeBench v5 score (25.7% vs 18.6%)
Higher MBPP score (63.6% vs 56.6%)
Higher MGSM score (67.0% vs 53.1%)
Higher MMLU score (64.9% vs 60.1%)
Higher MMLU-Pro score (50.6% vs 40.5%)
Higher MMLU-ProX score (19.9% vs 8.1%)
Higher WMT24++ score (50.1% vs 42.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed LiteRT (Preview)
Google
Gemma 3n E4B Instructed

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs Gemma 3n E4B Instructed.

Which is better, Gemma 3n E2B Instructed LiteRT (Preview) or Gemma 3n E4B Instructed?

Gemma 3n E4B Instructed significantly outperforms across most benchmarks. Gemma 3n E2B Instructed LiteRT (Preview) is made by Google and Gemma 3n E4B Instructed is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3n E2B Instructed LiteRT (Preview) compare to Gemma 3n E4B Instructed in benchmarks?

Gemma 3n E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%.

What are the context window sizes for Gemma 3n E2B Instructed LiteRT (Preview) and Gemma 3n E4B Instructed?

Gemma 3n E2B Instructed LiteRT (Preview) supports an unknown number of tokens and Gemma 3n E4B Instructed supports 32K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3n E2B Instructed LiteRT (Preview) and Gemma 3n E4B Instructed?

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

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