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Gemma 3n E4B Instructed vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 4.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemma 3N E4B IT was created as the instruction-tuned version of Gemma 3N E4B, designed to combine improved capability with edge optimization. Built for applications requiring both responsive instruction-following and edge-friendly efficiency, it serves as a stronger option for on-device AI assistants.
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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.
3 months newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Gemma 3n E4B Instructed
2025-06-26
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Gemma 3n E4B Instructed
Average Score:53.2%
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Qwen2.5-Omni-7B
Average Score:57.4%(+4.2%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
2024-06-01
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 3n E4B Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Qwen2.5-Omni-7B
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Gemma 3n E4B Instructed
Avg Score:53.2%
Providers:1
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Qwen2.5-Omni-7B
Avg Score:57.4%(+4.2%)
Providers:0