Model Comparison

DeepSeek R1 Distill Qwen 32B vs Gemma 3 12B

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. Gemma 3 12B is 2.2x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3 12B is better at 0 benchmarks.

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

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 12B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 2.4x more expensive than Gemma 3 12B ($0.05/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 1.8x more expensive than Gemma 3 12B ($0.10/1M tokens).

In conclusion, DeepSeek R1 Distill Qwen 32B is more expensive than Gemma 3 12B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri May 15 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
Google
Gemma 3 12B
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
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Model Size

Parameter count comparison

20.8B diff

DeepSeek R1 Distill Qwen 32B has 20.8B more parameters than Gemma 3 12B, making it 173.3% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
Google
Gemma 3 12B
12.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
12.0B
Gemma 3 12B

Context Window

Maximum input and output token capacity

Gemma 3 12B accepts 131,072 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 12B supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B 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 32B

Text
Images
Audio
Video

Gemma 3 12B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B 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 32B

MIT

Open weights

Gemma 3 12B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B 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 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.3 years ago

Gemma 3 12B

Mar 12, 2025

1.2 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

Provider Availability

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Gemma 3 12B is available from DeepInfra.

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

Gemma 3 12B

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher GPQA score (62.1% vs 40.9%)
Higher LiveCodeBench score (57.2% vs 24.6%)
Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
Google
Gemma 3 12B

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Gemma 3 12B.

Which is better, DeepSeek R1 Distill Qwen 32B or Gemma 3 12B?

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B 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 32B compare to Gemma 3 12B in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%.

Is DeepSeek R1 Distill Qwen 32B cheaper than Gemma 3 12B?

Gemma 3 12B is 2.4x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. Gemma 3 12B costs $0.05/M input and $0.10/M output via deepinfra.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and Gemma 3 12B?

DeepSeek R1 Distill Qwen 32B supports 128K 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 32B and Gemma 3 12B?

Key differences include context window (128K vs 131K), input pricing ($0.12 vs $0.05/M), 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 32B and Gemma 3 12B?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Gemma 3 12B is developed by Google.