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Granite 3.3 8B Base vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 4.6% higher average benchmark score. Granite 3.3 8B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
6 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Granite 3.3 8B Base
IBM
2025-04-16
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Granite 3.3 8B Base
Average Score:70.3%
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Qwen2.5 7B Instruct
Average Score:74.9%(+4.6%)
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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 7B Instruct
1 providers
Together
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Granite 3.3 8B Base
Avg Score:70.3%
Providers:0
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Qwen2.5 7B Instruct
Avg Score:74.9%(+4.6%)
Providers:1