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DeepSeek R1 Distill Qwen 7B vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 7B leads with 12.9% higher average benchmark score. Granite 3.3 8B Base supports multimodal inputs. Overall, DeepSeek R1 Distill Qwen 7B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-7B was developed as a compact distilled model, designed to provide reasoning capabilities in an efficient 7B parameter package. Built to extend analytical AI to a broad range of applications, it balances capability with the practical benefits of a smaller model size.
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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 Distill Qwen 7B
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 Distill Qwen 7B
Average Score:88.1%(+12.9%)
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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 Distill Qwen 7B
0 providers
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Granite 3.3 8B Base
0 providers
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DeepSeek R1 Distill Qwen 7B
Avg Score:88.1%(+12.9%)
Providers:0
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Granite 3.3 8B Base
Avg Score:75.1%
Providers:0