Model Comparison

DeepSeek-V3 vs Gemma 3n E4B Instructed LiteRT Preview

DeepSeek-V3 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V3 outperforms in 5 benchmarks (DROP, GPQA, LiveCodeBench, MMLU, MMLU-Pro), while Gemma 3n E4B Instructed LiteRT Preview is better at 0 benchmarks.

DeepSeek-V3 significantly outperforms across most benchmarks.

Fri May 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

669.1B diff

DeepSeek-V3 has 669.1B more parameters than Gemma 3n E4B Instructed LiteRT Preview, making it 35030.9% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Google
Gemma 3n E4B Instructed LiteRT Preview
1.9Bparameters
671.0B
DeepSeek-V3
1.9B
Gemma 3n E4B Instructed LiteRT Preview

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Google
Gemma 3n E4B Instructed LiteRT Preview
Input- tokens
Output- tokens
Fri May 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs, whereas DeepSeek-V3 does not.

Gemma 3n E4B Instructed LiteRT Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text
Images
Audio
Video

Gemma 3n E4B Instructed LiteRT Preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Gemma 3n E4B Instructed LiteRT Preview uses Gemma.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Gemma 3n E4B Instructed LiteRT Preview

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Gemma 3n E4B Instructed LiteRT Preview was released on 2025-05-20.

Gemma 3n E4B Instructed LiteRT Preview is 5 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

Gemma 3n E4B Instructed LiteRT Preview

May 20, 2025

11 months ago

4mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed LiteRT Preview has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V3's cutoff date is not specified.

We can confirm Gemma 3n E4B Instructed LiteRT Preview's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V3's cutoff date.

DeepSeek-V3

—

Gemma 3n E4B Instructed LiteRT Preview

Jun 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Higher DROP score (91.6% vs 60.8%)
Higher GPQA score (59.1% vs 23.7%)
Higher LiveCodeBench score (37.6% vs 13.2%)
Higher MMLU score (88.5% vs 64.9%)
Higher MMLU-Pro score (75.9% vs 50.6%)
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
Google
Gemma 3n E4B Instructed LiteRT Preview

FAQ

Common questions about DeepSeek-V3 vs Gemma 3n E4B Instructed LiteRT Preview.

Which is better, DeepSeek-V3 or Gemma 3n E4B Instructed LiteRT Preview?

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and Gemma 3n E4B Instructed LiteRT Preview is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 compare to Gemma 3n E4B Instructed LiteRT Preview in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Gemma 3n E4B Instructed LiteRT Preview scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, HumanEval: 75.0%.

What are the context window sizes for DeepSeek-V3 and Gemma 3n E4B Instructed LiteRT Preview?

DeepSeek-V3 supports 131K tokens and Gemma 3n E4B Instructed LiteRT Preview supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3 and Gemma 3n E4B Instructed LiteRT Preview?

Key differences include multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Gemma 3n E4B Instructed LiteRT Preview?

DeepSeek-V3 is developed by DeepSeek and Gemma 3n E4B Instructed LiteRT Preview is developed by Google.