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Phi 4 Mini vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
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Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 Microsoft's latest advancement in AI technology.
Launched on the same date
Phi 4 Mini
Microsoft
2025-02-01
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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Phi 4 Mini
Average Score:34.7%(+1.0%)
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Phi-4-multimodal-instruct
Average Score:33.8%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
Phi-4-multimodal-instruct
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Phi 4 Mini
0 providers
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Phi-4-multimodal-instruct
1 providers
DeepInfra
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Phi 4 Mini
Avg Score:34.7%(+1.0%)
Providers:0
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Phi-4-multimodal-instruct
Avg Score:33.8%
Providers:1