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DeepSeek R1 Zero vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 16.2% higher average benchmark score. Granite 3.3 8B Base supports multimodal inputs. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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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 months newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Granite 3.3 8B Base
IBM
2025-04-16
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Average performance across 2 common benchmarks
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DeepSeek R1 Zero
Average Score:91.3%(+16.2%)
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Granite 3.3 8B Base
Average Score:75.1%
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Base
2024-04-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Granite 3.3 8B Base
0 providers
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DeepSeek R1 Zero
Avg Score:91.3%(+16.2%)
Providers:0
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Granite 3.3 8B Base
Avg Score:75.1%
Providers:0