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Grok-3 Mini vs Phi 4
Comprehensive side-by-side LLM comparison
Grok-3 Mini leads with 27.9% higher average benchmark score. Grok-3 Mini offers 104.0K more tokens in context window than Phi 4. Phi 4 is $0.59 cheaper per million tokens. 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-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.
2 months newer
Phi 4
Microsoft
2024-12-12
Grok-3 Mini
xAI
2025-02-17
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Pricing Comparison
Cost per million tokens (USD)
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Grok-3 Mini
Input:$0.30
Output:$0.50
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Phi 4
Input:$0.07
Output:$0.14($0.59 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Grok-3 Mini
Average Score:84.0%(+27.9%)
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Phi 4
Average Score:56.1%
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
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 4
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Grok-3 Mini
Avg Score:84.0%(+27.9%)
Providers:1
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Phi 4
Avg Score:56.1%
Providers:1