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GPT-4.1 mini vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-4.1 mini is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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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 mini
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 mini
Average Score:73.7%(+0.4%)
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Granite 3.3 8B Base
Average Score:73.3%
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Base
2024-04-01
GPT-4.1 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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GPT-4.1 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:73.7%(+0.4%)
Providers:2
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Granite 3.3 8B Base
Avg Score:73.3%
Providers:0