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Granite 3.3 8B Base vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 1.5% 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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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
7 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Granite 3.3 8B Base
IBM
2025-04-16
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Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Granite 3.3 8B Base
Average Score:66.3%
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Phi-3.5-mini-instruct
Average Score:67.8%(+1.5%)
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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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Phi-3.5-mini-instruct
1 providers
Azure
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Granite 3.3 8B Base
Avg Score:66.3%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:67.8%(+1.5%)
Providers:1