Model Comparison

Gemma 4 31B vs Gemma 4 E2BWhich is better in 2026?

Gemma 4 31B significantly outperforms across most benchmarks.

Verdict: Gemma 4 31B vs Gemma 4 E2B — which is better?

Gemma 4 31B (by Google) and Gemma 4 E2B (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 31B outperforms in 11 benchmarks (AIME 2026, BIG-Bench Extra Hard, GPQA, LiveCodeBench v6, MathVision, MedXpertQA, MMLU-Pro, MMMLU, MMMU-Pro, MRCR v2 (8-needle), t2-bench), while Gemma 4 E2B is better at 0 benchmarks. Gemma 4 31B significantly outperforms across most benchmarks.

Choose Gemma 4 31B if…

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

Choose Gemma 4 E2B if…

  • you are already invested in the Google ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

11 benchmarks

Gemma 4 31B outperforms in 11 benchmarks (AIME 2026, BIG-Bench Extra Hard, GPQA, LiveCodeBench v6, MathVision, MedXpertQA, MMLU-Pro, MMMLU, MMMU-Pro, MRCR v2 (8-needle), t2-bench), while Gemma 4 E2B is better at 0 benchmarks.

Gemma 4 31B significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

25.6B diff

Gemma 4 31B has 25.6B more parameters than Gemma 4 E2B, making it 502.0% larger.

Google
Gemma 4 31B
30.7Bparameters
Google
Gemma 4 E2B
5.1Bparameters
30.7B
Gemma 4 31B
5.1B
Gemma 4 E2B

Context Window

Maximum input and output token capacity

Only Gemma 4 31B specifies input context (262,144 tokens). Only Gemma 4 31B specifies output context (131,072 tokens).

Google
Gemma 4 31B
Input262,144 tokens
Output131,072 tokens
Google
Gemma 4 E2B
Input- tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 4 31B and Gemma 4 E2B support multimodal inputs.

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

Gemma 4 31B

Text
Images
Audio
Video

Gemma 4 E2B

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 31B

Apache 2.0

Open weights

Gemma 4 E2B

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 31B

Apr 2, 2026

3 months ago

Gemma 4 E2B

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 31B

Jan 2025

Gemma 4 E2B

Jan 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (262,144 tokens)
Higher AIME 2026 score (89.2% vs 37.5%)
Higher BIG-Bench Extra Hard score (74.4% vs 21.9%)
Higher GPQA score (84.3% vs 43.4%)
Higher LiveCodeBench v6 score (80.0% vs 44.0%)
Higher MathVision score (85.6% vs 52.4%)
Higher MedXpertQA score (61.3% vs 23.5%)
Higher MMLU-Pro score (85.2% vs 60.0%)
Higher MMMLU score (88.4% vs 67.4%)
Higher MMMU-Pro score (76.9% vs 44.2%)
Higher MRCR v2 (8-needle) score (66.4% vs 19.1%)
Higher t2-bench score (86.4% vs 29.4%)
Google

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

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 4 31B and Gemma 4 E2B side-by-side, then vote on the output you prefer.

Gemma 4 31B
✓ Preferred
Gemma 4 E2B
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 4 31B
Google
Gemma 4 E2B

FAQ

Common questions about Gemma 4 31B vs Gemma 4 E2B.

Which is better, Gemma 4 31B or Gemma 4 E2B?

Gemma 4 31B significantly outperforms across most benchmarks. Gemma 4 31B is made by Google and Gemma 4 E2B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 4 31B compare to Gemma 4 E2B in benchmarks?

Gemma 4 31B scores AIME 2026: 89.2%, MMMLU: 88.4%, t2-bench: 86.4%, MathVision: 85.6%, MMLU-Pro: 85.2%. Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%.

What are the context window sizes for Gemma 4 31B and Gemma 4 E2B?

Gemma 4 31B supports 262K tokens and Gemma 4 E2B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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