Model Comparison

Qwen3 32B vs Gemma 3 27B

Qwen3 32B significantly outperforms across most benchmarks. Gemma 3 27B is 1.2x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Qwen3 32B outperforms in 1 benchmarks (LiveCodeBench), while Gemma 3 27B is better at 0 benchmarks.

Qwen3 32B significantly outperforms across most benchmarks.

Wed Apr 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 27B costs less

For input processing, Qwen3 32B ($0.10/1M tokens) costs the same as Gemma 3 27B ($0.10/1M tokens).

For output processing, Qwen3 32B ($0.30/1M tokens) is 1.5x more expensive than Gemma 3 27B ($0.20/1M tokens).

In conclusion, Qwen3 32B is more expensive than Gemma 3 27B.*

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

Lowest available price from all providers
Wed Apr 01 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3 32B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
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Model Size

Parameter count comparison

5.8B diff

Qwen3 32B has 5.8B more parameters than Gemma 3 27B, making it 21.5% larger.

Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
Google
Gemma 3 27B
27.0Bparameters
32.8B
Qwen3 32B
27.0B
Gemma 3 27B

Context Window

Maximum input and output token capacity

Gemma 3 27B accepts 131,072 input tokens compared to Qwen3 32B's 128,000 tokens. Gemma 3 27B can generate longer responses up to 131,072 tokens, while Qwen3 32B is limited to 128,000 tokens.

Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Wed Apr 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas Qwen3 32B does not.

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

Qwen3 32B

Text
Images
Audio
Video

Gemma 3 27B

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3 32B is licensed under Apache 2.0, while Gemma 3 27B uses Gemma.

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

Qwen3 32B

Apache 2.0

Open weights

Gemma 3 27B

Gemma

Open weights

Release Timeline

When each model was launched

Qwen3 32B was released on 2025-04-29, while Gemma 3 27B was released on 2025-03-12.

Qwen3 32B is 2 months newer than Gemma 3 27B.

Qwen3 32B

Apr 29, 2025

11 months ago

1mo newer
Gemma 3 27B

Mar 12, 2025

1.1 years ago

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

Qwen3 32B is available from DeepInfra, Novita, Sambanova. Gemma 3 27B is available from DeepInfra, Novita.

Qwen3 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M
sambanova logo
Sambanova
Input Price:Input: $0.40/1MOutput Price:Output: $0.80/1M

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

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Higher LiveCodeBench score (65.7% vs 29.7%)
Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3 32B
Google
Gemma 3 27B

FAQ

Common questions about Qwen3 32B vs Gemma 3 27B

Qwen3 32B significantly outperforms across most benchmarks. Qwen3 32B is made by Alibaba Cloud / Qwen Team and Gemma 3 27B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%. Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%.
Both models cost $0.10 per million input tokens.
Qwen3 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), multimodal support (no vs yes), licensing (Apache 2.0 vs Gemma). See the full comparison above for benchmark-by-benchmark results.
Qwen3 32B is developed by Alibaba Cloud / Qwen Team and Gemma 3 27B is developed by Google.