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DeepSeek-V3 vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 14.1% higher average benchmark score. Granite 3.3 8B Base supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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.
3 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Granite 3.3 8B Base
IBM
2025-04-16
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek-V3
Average Score:79.1%(+14.1%)
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Granite 3.3 8B Base
Average Score:65.0%
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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-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Granite 3.3 8B Base
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DeepSeek-V3
Avg Score:79.1%(+14.1%)
Providers:1
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Granite 3.3 8B Base
Avg Score:65.0%
Providers:0