Model Comparison

Gemma 3 27B vs QwQ-32B-Preview

QwQ-32B-Preview significantly outperforms across most benchmarks. Gemma 3 27B is 1.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 3 27B outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 2 benchmarks (GPQA, LiveCodeBench).

QwQ-32B-Preview significantly outperforms across most benchmarks.

Thu Apr 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 27B costs less

For input processing, Gemma 3 27B ($0.10/1M tokens) is 1.5x cheaper than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, Gemma 3 27B ($0.20/1M tokens) costs the same as QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, QwQ-32B-Preview 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 30 2026 • llm-stats.com
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

5.5B diff

QwQ-32B-Preview has 5.5B more parameters than Gemma 3 27B, making it 20.4% larger.

Google
Gemma 3 27B
27.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
27.0B
Gemma 3 27B
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Gemma 3 27B accepts 131,072 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Gemma 3 27B can generate longer responses up to 131,072 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas QwQ-32B-Preview does not.

Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 27B

Text
Images
Audio
Video

QwQ-32B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 27B is licensed under Gemma, while QwQ-32B-Preview uses Apache 2.0.

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

Gemma 3 27B

Gemma

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 27B was released on 2025-03-12, while QwQ-32B-Preview was released on 2024-11-28.

Gemma 3 27B is 3 months newer than QwQ-32B-Preview.

Gemma 3 27B

Mar 12, 2025

1.1 years ago

3mo newer
QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Gemma 3 27B's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Gemma 3 27B's cutoff date.

Gemma 3 27B

—

QwQ-32B-Preview

Nov 2024

Provider Availability

Gemma 3 27B is available from DeepInfra, Novita. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

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

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive input tokens
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (65.2% vs 42.4%)
Higher LiveCodeBench score (50.0% vs 29.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 27B
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about Gemma 3 27B vs QwQ-32B-Preview

QwQ-32B-Preview significantly outperforms across most benchmarks. Gemma 3 27B is made by Google and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
Gemma 3 27B is 1.5x cheaper for input tokens. Gemma 3 27B costs $0.10/M input and $0.20/M output via deepinfra. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.
Gemma 3 27B supports 131K tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 33K), input pricing ($0.10 vs $0.15/M), multimodal support (yes vs no), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 3 27B is developed by Google and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.