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Ministral 8B Instruct vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 24.5% higher average benchmark score. Ministral 8B Instruct offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Overall, Phi 4 is the stronger choice for coding tasks.
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Mistral AI
Ministral 8B was developed as a compact yet capable model from Mistral AI, designed to provide strong instruction-following with just 8 billion parameters. Built for applications requiring efficient deployment while maintaining reliable performance, it represents Mistral's smallest production-ready offering.
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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.
1 month newer
Ministral 8B Instruct
Mistral AI
2024-10-16
Phi 4
Microsoft
2024-12-12
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Pricing Comparison
Cost per million tokens (USD)
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Ministral 8B Instruct
Input:$0.10
Output:$0.10($0.01 cheaper)
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Phi 4
Input:$0.07
Output:$0.14
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Ministral 8B Instruct
Average Score:56.3%
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Phi 4
Average Score:80.8%(+24.5%)
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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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Ministral 8B Instruct
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.18ms
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Phi 4
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Ministral 8B Instruct
Avg Score:56.3%
Providers:1
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Phi 4
Avg Score:80.8%(+24.5%)
Providers:1