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Granite 3.3 8B Base vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 12.7% higher average benchmark score. Granite 3.3 8B Base supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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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.
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Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
7 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Granite 3.3 8B Base
IBM
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 42 common benchmarks
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Granite 3.3 8B Base
Average Score:30.6%
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Phi-3.5-mini-instruct
Average Score:43.3%(+12.7%)
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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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Granite 3.3 8B Base
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Granite 3.3 8B Base
Avg Score:30.6%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:43.3%(+12.7%)
Providers:1