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Model Comparison

DeepSeek R1 Distill Qwen 32B vs Gemma 3 27B

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. Gemma 3 27B is 1.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3 27B is better at 0 benchmarks.

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

Thu Apr 23 2026 • llm-stats.com

Arena Performance

Human preference votes

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Pricing Analysis

Price comparison per million tokens

Gemma 3 27B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 1.2x more expensive than Gemma 3 27B ($0.10/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 1.1x cheaper than Gemma 3 27B ($0.20/1M tokens).

In conclusion, DeepSeek R1 Distill Qwen 32B is more expensive than Gemma 3 27B.*

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

Lowest available price from all providers
Thu Apr 23 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

5.8B diff

DeepSeek R1 Distill Qwen 32B has 5.8B more parameters than Gemma 3 27B, making it 21.5% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
Google
Gemma 3 27B
27.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
27.0B
Gemma 3 27B

Context Window

Maximum input and output token capacity

Gemma 3 27B accepts 131,072 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. Gemma 3 27B 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 27B
Input131,072 tokens
Output131,072 tokens
Thu Apr 23 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.

Gemma 3 27B 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 27B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Gemma 3 27B 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 27B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Gemma 3 27B was released on 2025-03-12.

Gemma 3 27B is 2 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.3 years ago

Gemma 3 27B

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

Provider Availability

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Gemma 3 27B is available from DeepInfra, Novita.

DeepSeek R1 Distill Qwen 32B

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

Gemma 3 27B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
novita logo
Novita
Input Price:Input: $0.11/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Less expensive output tokens
Higher GPQA score (62.1% vs 42.4%)
Higher LiveCodeBench score (57.2% vs 29.7%)
Google
Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
Google
Gemma 3 27B

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Gemma 3 27B

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and Gemma 3 27B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%.
Gemma 3 27B is 1.2x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. Gemma 3 27B costs $0.10/M input and $0.20/M output via deepinfra.
DeepSeek R1 Distill Qwen 32B supports 128K tokens and Gemma 3 27B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 131K), input pricing ($0.12 vs $0.10/M), multimodal support (no vs yes), licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Gemma 3 27B is developed by Google.