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DeepSeek-V3 vs Granite 3.3 8B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 9.1% higher average benchmark score. Granite 3.3 8B Instruct 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 Instruct was created as the instruction-tuned version of the Granite base model, designed to follow instructions reliably in enterprise settings. Built to serve business applications requiring dependable language understanding, it provides IBM's accessible interface for enterprise AI.
3 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Granite 3.3 8B Instruct
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%(+9.1%)
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Granite 3.3 8B Instruct
Average Score:70.0%
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Instruct
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 Instruct
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DeepSeek-V3
Avg Score:79.1%(+9.1%)
Providers:1
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Granite 3.3 8B Instruct
Avg Score:70.0%
Providers:0