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Gemma 3 12B vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
QwQ-32B-Preview leads with 24.9% higher average benchmark score. Gemma 3 12B offers 196.6K more tokens in context window than QwQ-32B-Preview. Both models have similar pricing. Gemma 3 12B supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, QwQ-32B-Preview is the stronger choice for coding tasks.
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Gemma 3 12B was developed as part of the third generation of Google's open-source model family, designed to provide enhanced capabilities in a mid-sized format. Built with improved architecture and training techniques, it balances performance with practical deployment considerations for diverse use cases.
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Alibaba Cloud / Qwen Team
QwQ 32B Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.
3 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Gemma 3 12B
2025-03-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 12B
Input:$0.05
Output:$0.10($0.20 cheaper)
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QwQ-32B-Preview
Input:$0.15
Output:$0.20
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 3 12B
Average Score:32.8%
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QwQ-32B-Preview
Average Score:57.6%(+24.9%)
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Knowledge Cutoff
Training data recency comparison
QwQ-32B-Preview
2024-11-28
More recent knowledge cutoff means awareness of newer technologies and frameworks
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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QwQ-32B-Preview
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Gemma 3 12B
Avg Score:32.8%
Providers:1
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QwQ-32B-Preview
Avg Score:57.6%(+24.9%)
Providers:4