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Grok-2 mini vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Grok-2 mini leads with 4.6% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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xAI
Grok 2 Mini was created as a more efficient variant of Grok 2, designed to provide strong capabilities with reduced computational requirements. Built to make Grok 2's advancements accessible to applications with tighter resource constraints, it balances performance with practical deployment needs.
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Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
5 months newer
Grok-2 mini
xAI
2024-08-13
Phi-4-multimodal-instruct
Microsoft
2025-02-01
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Grok-2 mini
Average Score:74.8%(+4.6%)
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Phi-4-multimodal-instruct
Average Score:70.2%
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Knowledge Cutoff
Training data recency comparison
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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Grok-2 mini
0 providers
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Phi-4-multimodal-instruct
1 providers
DeepInfra
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Grok-2 mini
Avg Score:74.8%(+4.6%)
Providers:0
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Phi-4-multimodal-instruct
Avg Score:70.2%
Providers:1