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DeepSeek VL2 vs Granite 3.3 8B Instruct
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 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.
4 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Granite 3.3 8B Instruct
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 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 VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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Granite 3.3 8B Instruct
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DeepSeek VL2
Avg Score:0.0%
Providers:1
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Granite 3.3 8B Instruct
Avg Score:0.0%
Providers:0