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DeepSeek-V3 vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 1.7% higher average benchmark score. Granite 3.3 8B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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IBM
Granite 3.3 8B Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.
3 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Granite 3.3 8B Base
IBM
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
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DeepSeek-V3
Average Score:38.4%(+1.7%)
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Granite 3.3 8B Base
Average Score:36.7%
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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:38.4%(+1.7%)
Providers:1
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Granite 3.3 8B Base
Avg Score:36.7%
Providers:0