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DeepSeek R1 Distill Qwen 1.5B vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base leads with 49.9% higher average benchmark score. Granite 3.3 8B Base supports multimodal inputs. Overall, Granite 3.3 8B Base is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.
2 months newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Granite 3.3 8B Base
IBM
2025-04-16
Average performance across 22 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:8.5%
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Granite 3.3 8B Base
Average Score:58.4%(+49.9%)
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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 R1 Distill Qwen 1.5B
0 providers
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Granite 3.3 8B Base
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:8.5%
Providers:0
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Granite 3.3 8B Base
Avg Score:58.4%(+49.9%)
Providers:0