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Granite 3.3 8B Base vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 9.3% higher average benchmark score. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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IBM
Granite 3.3 8B Base was developed by IBM as an enterprise-focused foundation model, designed to provide a reliable starting point for business applications. Built with 8 billion parameters and trained on curated data, it serves as a foundation for domain-specific customization in enterprise contexts.
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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.
20 days newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Granite 3.3 8B Base
IBM
2025-04-16
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Average performance across 2 common benchmarks
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Granite 3.3 8B Base
Average Score:74.4%
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Qwen2.5-Omni-7B
Average Score:83.7%(+9.3%)
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Base
2024-04-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Granite 3.3 8B Base
0 providers
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Qwen2.5-Omni-7B
0 providers
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Granite 3.3 8B Base
Avg Score:74.4%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:83.7%(+9.3%)
Providers:0