Model Comparison

DeepSeek-V3.2-Exp vs Gemma 3n E4B Instructed LiteRT PreviewWhich is better in 2026?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Verdict: DeepSeek-V3.2-Exp vs Gemma 3n E4B Instructed LiteRT Preview — which is better?

DeepSeek-V3.2-Exp (by DeepSeek) and Gemma 3n E4B Instructed LiteRT Preview (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.

DeepSeek-V3.2-Exp outperforms in 4 benchmarks (AIME 2025, GPQA, LiveCodeBench, MMLU-Pro), while Gemma 3n E4B Instructed LiteRT Preview is better at 0 benchmarks. DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Choose DeepSeek-V3.2-Exp if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Choose Gemma 3n E4B Instructed LiteRT Preview if…

  • you are already invested in the Google ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3.2-Exp outperforms in 4 benchmarks (AIME 2025, GPQA, LiveCodeBench, MMLU-Pro), while Gemma 3n E4B Instructed LiteRT Preview is better at 0 benchmarks.

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Wed Jul 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

683.1B diff

DeepSeek-V3.2-Exp has 683.1B more parameters than Gemma 3n E4B Instructed LiteRT Preview, making it 35763.9% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
Google
Gemma 3n E4B Instructed LiteRT Preview
1.9Bparameters
685.0B
DeepSeek-V3.2-Exp
1.9B
Gemma 3n E4B Instructed LiteRT Preview

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Exp specifies input context (163,840 tokens). Only DeepSeek-V3.2-Exp specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Google
Gemma 3n E4B Instructed LiteRT Preview
Input- tokens
Output- tokens
Wed Jul 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs, whereas DeepSeek-V3.2-Exp 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-V3.2-Exp

Text
Images
Audio
Video

Gemma 3n E4B Instructed LiteRT Preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, 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-V3.2-Exp

MIT

Open weights

Gemma 3n E4B Instructed LiteRT Preview

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Gemma 3n E4B Instructed LiteRT Preview was released on 2025-05-20.

DeepSeek-V3.2-Exp is 4 months newer than Gemma 3n E4B Instructed LiteRT Preview.

DeepSeek-V3.2-Exp

Sep 29, 2025

9 months ago

4mo newer
Gemma 3n E4B Instructed LiteRT Preview

May 20, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed LiteRT Preview has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V3.2-Exp'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-V3.2-Exp's cutoff date.

DeepSeek-V3.2-Exp

—

Gemma 3n E4B Instructed LiteRT Preview

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Higher AIME 2025 score (89.3% vs 11.6%)
Higher GPQA score (79.9% vs 23.7%)
Higher LiveCodeBench score (74.1% vs 13.2%)
Higher MMLU-Pro score (85.0% vs 50.6%)
Google
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3.2-Exp and Gemma 3n E4B Instructed LiteRT Preview side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Exp
✓ Preferred
Gemma 3n E4B Instructed LiteRT Preview
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Google
Gemma 3n E4B Instructed LiteRT Preview

FAQ

Common questions about DeepSeek-V3.2-Exp vs Gemma 3n E4B Instructed LiteRT Preview.

Which is better, DeepSeek-V3.2-Exp or Gemma 3n E4B Instructed LiteRT Preview?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp 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-V3.2-Exp compare to Gemma 3n E4B Instructed LiteRT Preview in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. 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-V3.2-Exp and Gemma 3n E4B Instructed LiteRT Preview?

DeepSeek-V3.2-Exp supports 164K 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-V3.2-Exp and Gemma 3n E4B Instructed LiteRT Preview?

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

Who makes DeepSeek-V3.2-Exp and Gemma 3n E4B Instructed LiteRT Preview?

DeepSeek-V3.2-Exp is developed by DeepSeek and Gemma 3n E4B Instructed LiteRT Preview is developed by Google.

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