Model Comparison

Gemma 4 E2B vs Gemma 4 E4BWhich is better in 2026?

Gemma 4 E4B significantly outperforms across most benchmarks.

Verdict: Gemma 4 E2B vs Gemma 4 E4B — which is better?

Gemma 4 E2B (by Google) and Gemma 4 E4B (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 4 E2B outperforms in 0 benchmarks, while Gemma 4 E4B is better at 11 benchmarks (AIME 2026, BIG-Bench Extra Hard, GPQA, LiveCodeBench v6, MathVision, MedXpertQA, MMLU-Pro, MMMLU, MMMU-Pro, MRCR v2 (8-needle), t2-bench). Gemma 4 E4B significantly outperforms across most benchmarks.

Choose Gemma 4 E2B if…

  • you are already invested in the Google ecosystem

Choose Gemma 4 E4B if…

  • you want the strongest raw capability — it leads on 11 of 11 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

11 benchmarks

Gemma 4 E2B outperforms in 0 benchmarks, while Gemma 4 E4B is better at 11 benchmarks (AIME 2026, BIG-Bench Extra Hard, GPQA, LiveCodeBench v6, MathVision, MedXpertQA, MMLU-Pro, MMMLU, MMMU-Pro, MRCR v2 (8-needle), t2-bench).

Gemma 4 E4B significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

2.9B diff

Gemma 4 E4B has 2.9B more parameters than Gemma 4 E2B, making it 56.9% larger.

Google
Gemma 4 E2B
5.1Bparameters
Google
Gemma 4 E4B
8.0Bparameters
5.1B
Gemma 4 E2B
8.0B
Gemma 4 E4B

Input Capabilities

Supported data types and modalities

Both Gemma 4 E2B and Gemma 4 E4B support multimodal inputs.

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

Gemma 4 E2B

Text
Images
Audio
Video

Gemma 4 E4B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Gemma 4 E2B

Apache 2.0

Open weights

Gemma 4 E4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Both models were released on 2026-04-02.

They likely represent similar generations of model development.

Gemma 4 E2B

Apr 2, 2026

3 months ago

Gemma 4 E4B

Apr 2, 2026

3 months ago

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2025-01-01.

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

Gemma 4 E2B

Jan 2025

Gemma 4 E4B

Jan 2025

Outputs Comparison

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Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Google
Higher AIME 2026 score (42.5% vs 37.5%)
Higher BIG-Bench Extra Hard score (33.1% vs 21.9%)
Higher GPQA score (58.6% vs 43.4%)
Higher LiveCodeBench v6 score (52.0% vs 44.0%)
Higher MathVision score (59.5% vs 52.4%)
Higher MedXpertQA score (28.7% vs 23.5%)
Higher MMLU-Pro score (69.4% vs 60.0%)
Higher MMMLU score (76.6% vs 67.4%)
Higher MMMU-Pro score (52.6% vs 44.2%)
Higher MRCR v2 (8-needle) score (25.4% vs 19.1%)
Higher t2-bench score (57.5% vs 29.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 4 E2B and Gemma 4 E4B side-by-side, then vote on the output you prefer.

Gemma 4 E2B
✓ Preferred
Gemma 4 E4B
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 4 E2B
Google
Gemma 4 E4B

FAQ

Common questions about Gemma 4 E2B vs Gemma 4 E4B.

Which is better, Gemma 4 E2B or Gemma 4 E4B?

Gemma 4 E4B significantly outperforms across most benchmarks. Gemma 4 E2B is made by Google and Gemma 4 E4B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 4 E2B compare to Gemma 4 E4B in benchmarks?

Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%. Gemma 4 E4B scores MMMLU: 76.6%, MMLU-Pro: 69.4%, MathVision: 59.5%, GPQA: 58.6%, t2-bench: 57.5%.

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