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Grok-3 Mini vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Grok-3 Mini leads with 47.2% higher average benchmark score. Grok-3 Mini supports multimodal inputs. Overall, Grok-3 Mini is the stronger choice for coding tasks.
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xAI
Grok 3 Mini was developed as an efficient version of Grok 3, designed to bring next-generation capabilities to resource-conscious deployments. Built to provide strong performance with practical efficiency, it extends Grok 3's innovations to broader application scenarios.
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Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
5 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Grok-3 Mini
xAI
2025-02-17
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Grok-3 Mini
Average Score:84.0%(+47.2%)
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Phi-3.5-MoE-instruct
Average Score:36.8%
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Knowledge Cutoff
Training data recency comparison
Grok-3 Mini
2024-11-17
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-3 Mini
1 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
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Phi-3.5-MoE-instruct
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Grok-3 Mini
Avg Score:84.0%(+47.2%)
Providers:1
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Phi-3.5-MoE-instruct
Avg Score:36.8%
Providers:0