Model Comparison

Gemini 3.1 Pro vs Gemma 4 E4B

Gemini 3.1 Pro significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 3.1 Pro outperforms in 4 benchmarks (GPQA, MMMLU, MMMU-Pro, t2-bench), while Gemma 4 E4B is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Thu Apr 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 02 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Google
Gemma 4 E4B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Gemini 3.1 Pro specifies input context (1,048,576 tokens). Only Gemini 3.1 Pro specifies output context (65,536 tokens).

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Google
Gemma 4 E4B
Input- tokens
Output- tokens
Thu Apr 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and Gemma 4 E4B support multimodal inputs.

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

Gemini 3.1 Pro

Text
Images
Audio
Video

Gemma 4 E4B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Gemma 4 E4B uses Apache 2.0.

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

Gemini 3.1 Pro

Proprietary

Closed source

Gemma 4 E4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Gemma 4 E4B was released on 2026-04-02.

Gemma 4 E4B is 1 month newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

1 months ago

Gemma 4 E4B

Apr 2, 2026

0 days ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Gemma 4 E4B's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Gemma 4 E4B's cutoff date.

Gemini 3.1 Pro

Jan 2025

Gemma 4 E4B

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher GPQA score (94.3% vs 58.6%)
Higher MMMLU score (92.6% vs 76.6%)
Higher MMMU-Pro score (80.5% vs 52.6%)
Higher t2-bench score (99.3% vs 57.5%)
Google
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Google
Gemma 4 E4B

FAQ

Common questions about Gemini 3.1 Pro vs Gemma 4 E4B

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro 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.
Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Gemma 4 E4B scores MMMLU: 76.6%, MMLU-Pro: 69.4%, MathVision: 59.5%, GPQA: 58.6%, t2-bench: 57.5%.
Gemini 3.1 Pro supports 1.0M tokens and Gemma 4 E4B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.