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Grok-2 mini vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 1.3% higher average benchmark score. Grok-2 mini supports multimodal inputs. 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 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
4 months newer
Grok-2 mini
xAI
2024-08-13
Phi 4
Microsoft
2024-12-12
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Grok-2 mini
Average Score:73.6%
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Phi 4
Average Score:74.9%(+1.3%)
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Knowledge Cutoff
Training data recency comparison
Phi 4
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
1 providers
DeepInfra
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Grok-2 mini
Avg Score:73.6%
Providers:0
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Phi 4
Avg Score:74.9%(+1.3%)
Providers:1