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Llama 3.2 3B Instruct vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 10.8% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
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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.
6 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
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 3 common benchmarks
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Llama 3.2 3B Instruct
Average Score:52.8%
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Qwen2.5-Omni-7B
Average Score:63.7%(+10.8%)
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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Qwen2.5-Omni-7B
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Llama 3.2 3B Instruct
Avg Score:52.8%
Providers:1
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Qwen2.5-Omni-7B
Avg Score:63.7%(+10.8%)
Providers:0