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GPT-4.1 nano vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base leads with 12.0% higher average benchmark score. Overall, Granite 3.3 8B Base is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
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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.
2 days newer
GPT-4.1 nano
OpenAI
2025-04-14
Granite 3.3 8B Base
IBM
2025-04-16
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1 nano
Average Score:61.3%
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Granite 3.3 8B Base
Average Score:73.3%(+12.0%)
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Base
2024-04-01
GPT-4.1 nano
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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GPT-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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Granite 3.3 8B Base
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GPT-4.1 nano
Avg Score:61.3%
Providers:1
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Granite 3.3 8B Base
Avg Score:73.3%(+12.0%)
Providers:0