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Granite 3.3 8B Base vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 12.2% higher average benchmark score. Overall, o4-mini 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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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
Launched on the same date
Granite 3.3 8B Base
IBM
2025-04-16
o4-mini
OpenAI
2025-04-16
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Granite 3.3 8B Base
Average Score:81.2%
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o4-mini
Average Score:93.4%(+12.2%)
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Base
2024-04-01
o4-mini
2024-05-31
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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o4-mini
1 providers
OpenAI
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Granite 3.3 8B Base
Avg Score:81.2%
Providers:0
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o4-mini
Avg Score:93.4%(+12.2%)
Providers:1