Model Comparison

DeepSeek R1 Zero vs Gemma 3n E2B Instructed

DeepSeek R1 Zero significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Zero outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3n E2B Instructed is better at 0 benchmarks.

DeepSeek R1 Zero significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

663.0B diff

DeepSeek R1 Zero has 663.0B more parameters than Gemma 3n E2B Instructed, making it 8287.5% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
Google
Gemma 3n E2B Instructed
8.0Bparameters
671.0B
DeepSeek R1 Zero
8.0B
Gemma 3n E2B Instructed

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed supports multimodal inputs, whereas DeepSeek R1 Zero does not.

Gemma 3n E2B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Zero

Text
Images
Audio
Video

Gemma 3n E2B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while Gemma 3n E2B Instructed uses a proprietary license.

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

DeepSeek R1 Zero

MIT

Open weights

Gemma 3n E2B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while Gemma 3n E2B Instructed was released on 2025-06-26.

Gemma 3n E2B Instructed is 5 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.3 years ago

Gemma 3n E2B Instructed

Jun 26, 2025

11 months ago

5mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while DeepSeek R1 Zero's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.

DeepSeek R1 Zero

—

Gemma 3n E2B Instructed

Jun 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Has open weights
Higher GPQA score (73.3% vs 24.8%)
Higher LiveCodeBench score (50.0% vs 13.2%)
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Zero
Google
Gemma 3n E2B Instructed

FAQ

Common questions about DeepSeek R1 Zero vs Gemma 3n E2B Instructed.

Which is better, DeepSeek R1 Zero or Gemma 3n E2B Instructed?

DeepSeek R1 Zero significantly outperforms across most benchmarks. DeepSeek R1 Zero is made by DeepSeek and Gemma 3n E2B Instructed is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Zero compare to Gemma 3n E2B Instructed in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%.

What are the main differences between DeepSeek R1 Zero and Gemma 3n E2B Instructed?

Key differences include multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and Gemma 3n E2B Instructed?

DeepSeek R1 Zero is developed by DeepSeek and Gemma 3n E2B Instructed is developed by Google.