Model Comparison

Gemma 3 12B vs Qwen3 32B

Qwen3 32B significantly outperforms across most benchmarks. Gemma 3 12B is 2.4x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3 12B outperforms in 0 benchmarks, while Qwen3 32B is better at 1 benchmark (LiveCodeBench).

Qwen3 32B significantly outperforms across most benchmarks.

Wed Apr 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 12B costs less

For input processing, Gemma 3 12B ($0.05/1M tokens) is 2.0x cheaper than Qwen3 32B ($0.10/1M tokens).

For output processing, Gemma 3 12B ($0.10/1M tokens) is 3.0x cheaper than Qwen3 32B ($0.30/1M tokens).

In conclusion, Qwen3 32B is more expensive than Gemma 3 12B.*

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

Lowest available price from all providers
Wed Apr 29 2026 • llm-stats.com
Google
Gemma 3 12B
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3 32B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

20.8B diff

Qwen3 32B has 20.8B more parameters than Gemma 3 12B, making it 173.3% larger.

Google
Gemma 3 12B
12.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
12.0B
Gemma 3 12B
32.8B
Qwen3 32B

Context Window

Maximum input and output token capacity

Gemma 3 12B accepts 131,072 input tokens compared to Qwen3 32B's 128,000 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while Qwen3 32B is limited to 128,000 tokens.

Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Wed Apr 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 12B supports multimodal inputs, whereas Qwen3 32B does not.

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

Gemma 3 12B

Text
Images
Audio
Video

Qwen3 32B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 12B is licensed under Gemma, while Qwen3 32B uses Apache 2.0.

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

Gemma 3 12B

Gemma

Open weights

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

Qwen3 32B is 2 months newer than Gemma 3 12B.

Gemma 3 12B

Mar 12, 2025

1.1 years ago

Qwen3 32B

Apr 29, 2025

1.0 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

Gemma 3 12B is available from DeepInfra. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

Gemma 3 12B

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

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

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Higher LiveCodeBench score (65.7% vs 24.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 12B
Alibaba Cloud / Qwen Team
Qwen3 32B

FAQ

Common questions about Gemma 3 12B vs Qwen3 32B

Qwen3 32B significantly outperforms across most benchmarks. Gemma 3 12B is made by Google and Qwen3 32B 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 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.
Gemma 3 12B is 2.0x cheaper for input tokens. Gemma 3 12B costs $0.05/M input and $0.10/M output via deepinfra. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.
Gemma 3 12B supports 131K tokens and Qwen3 32B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 128K), input pricing ($0.05 vs $0.10/M), multimodal support (yes vs no), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 3 12B is developed by Google and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.