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Gemma 3 12B vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 47.5% higher average benchmark score. Overall, Gemma 3 12B is the stronger choice for coding tasks.
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Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Gemma 3 12B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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Gemma 3 12B
Average Score:54.1%(+47.5%)
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QvQ-72B-Preview
Average Score:6.6%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 12B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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QvQ-72B-Preview
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Gemma 3 12B
Avg Score:54.1%(+47.5%)
Providers:1
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QvQ-72B-Preview
Avg Score:6.6%
Providers:0