Model Comparison

DeepSeek R1 Distill Qwen 32B vs Gemma 3n E2B InstructedWhich is better in 2026?

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Verdict: DeepSeek R1 Distill Qwen 32B vs Gemma 3n E2B Instructed — which is better?

DeepSeek R1 Distill Qwen 32B (by DeepSeek) and Gemma 3n E2B Instructed (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 R1 Distill Qwen 32B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3n E2B Instructed is better at 0 benchmarks. DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Choose DeepSeek R1 Distill Qwen 32B if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you need open weights you can self-host or fine-tune

Choose Gemma 3n E2B Instructed if…

  • you want the most recent training data — it shipped Jun 2025
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3n E2B Instructed is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

24.8B diff

DeepSeek R1 Distill Qwen 32B has 24.8B more parameters than Gemma 3n E2B Instructed, making it 310.0% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
Google
Gemma 3n E2B Instructed
8.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
8.0B
Gemma 3n E2B Instructed

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B 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 Distill Qwen 32B

Text
Images
Audio
Video

Gemma 3n E2B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B 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 Distill Qwen 32B

MIT

Open weights

Gemma 3n E2B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B 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 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.4 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 Distill Qwen 32B'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 Distill Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

—

Gemma 3n E2B Instructed

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (128,000 tokens)
Has open weights
Higher GPQA score (62.1% vs 24.8%)
Higher LiveCodeBench score (57.2% vs 13.2%)
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
Google
Gemma 3n E2B Instructed

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Gemma 3n E2B Instructed.

Which is better, DeepSeek R1 Distill Qwen 32B or Gemma 3n E2B Instructed?

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B 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 Distill Qwen 32B compare to Gemma 3n E2B Instructed in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. 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 context window sizes for DeepSeek R1 Distill Qwen 32B and Gemma 3n E2B Instructed?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and Gemma 3n E2B Instructed 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 R1 Distill Qwen 32B 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 Distill Qwen 32B and Gemma 3n E2B Instructed?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Gemma 3n E2B Instructed is developed by Google.

Related comparisons