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Gemma 3 12B vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 1.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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
Qwen2.5-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
15 days newer
Gemma 3 12B
2025-03-12
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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Gemma 3 12B
Average Score:75.3%(+1.5%)
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Qwen2.5-Omni-7B
Average Score:73.8%
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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Qwen2.5-Omni-7B
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Gemma 3 12B
Avg Score:75.3%(+1.5%)
Providers:1
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Qwen2.5-Omni-7B
Avg Score:73.8%
Providers:0