Model Comparison

DeepSeek R1 Distill Qwen 7B vs Gemma 3 12B

DeepSeek R1 Distill Qwen 7B significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 7B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3 12B is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 7B significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

4.4B diff

Gemma 3 12B has 4.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 57.5% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
Google
Gemma 3 12B
12.0Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
12.0B
Gemma 3 12B

Context Window

Maximum input and output token capacity

Only Gemma 3 12B specifies input context (131,072 tokens). Only Gemma 3 12B specifies output context (131,072 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 12B supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B does not.

Gemma 3 12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 7B

Text
Images
Audio
Video

Gemma 3 12B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B is licensed under MIT, while Gemma 3 12B uses Gemma.

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

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

Gemma 3 12B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while Gemma 3 12B was released on 2025-03-12.

Gemma 3 12B is 2 months newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.3 years ago

Gemma 3 12B

Mar 12, 2025

1.1 years ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Higher GPQA score (49.1% vs 40.9%)
Higher LiveCodeBench score (37.6% vs 24.6%)
Google
Larger context window (131,072 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 7B
Google
Gemma 3 12B

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs Gemma 3 12B.

Which is better, DeepSeek R1 Distill Qwen 7B or Gemma 3 12B?

DeepSeek R1 Distill Qwen 7B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and Gemma 3 12B 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 7B compare to Gemma 3 12B in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and Gemma 3 12B?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and Gemma 3 12B supports 131K 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 7B and Gemma 3 12B?

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 R1 Distill Qwen 7B and Gemma 3 12B?

DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and Gemma 3 12B is developed by Google.