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Ministral 8B Instruct vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 2.4% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
6 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
Phi 4 Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Ministral 8B Instruct
Average Score:70.9%
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Phi 4 Reasoning
Average Score:73.3%(+2.4%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
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 Reasoning
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Ministral 8B Instruct
Avg Score:70.9%
Providers:1
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Phi 4 Reasoning
Avg Score:73.3%(+2.4%)
Providers:0