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Gemma 3 4B vs Granite 3.3 8B Instruct
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 2.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
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IBM
Granite 3.3 8B Instruct was created as the instruction-tuned version of the Granite base model, designed to follow instructions reliably in enterprise settings. Built to serve business applications requiring dependable language understanding, it provides IBM's accessible interface for enterprise AI.
1 month newer
Gemma 3 4B
2025-03-12
Granite 3.3 8B Instruct
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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Gemma 3 4B
Average Score:80.7%(+2.1%)
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Granite 3.3 8B Instruct
Average Score:78.6%
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Instruct
2024-04-01
Gemma 3 4B
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Granite 3.3 8B Instruct
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Gemma 3 4B
Avg Score:80.7%(+2.1%)
Providers:1
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Granite 3.3 8B Instruct
Avg Score:78.6%
Providers:0