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DeepSeek VL2 vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
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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.
4 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Granite 3.3 8B Base
IBM
2025-04-16
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Performance Metrics
Context window and performance specifications
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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 VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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Granite 3.3 8B Base
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DeepSeek VL2
Avg Score:0.0%
Providers:1
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Granite 3.3 8B Base
Avg Score:0.0%
Providers:0