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Granite 3.3 8B Base vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 4.8% 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-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
2 months newer
Phi 4 Mini
Microsoft
2025-02-01
Granite 3.3 8B Base
IBM
2025-04-16
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Average performance across 8 common benchmarks
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Granite 3.3 8B Base
Average Score:63.4%
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Phi 4 Mini
Average Score:68.2%(+4.8%)
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Base
2024-04-01
Phi 4 Mini
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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Granite 3.3 8B Base
0 providers
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Phi 4 Mini
0 providers
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Granite 3.3 8B Base
Avg Score:63.4%
Providers:0
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Phi 4 Mini
Avg Score:68.2%(+4.8%)
Providers:0