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Magistral Small 2506 vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 16.2% higher average benchmark score. Overall, Magistral Small 2506 is the stronger choice for coding tasks.
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Mistral AI
Magistral Small was created as an efficient reasoning-focused variant, designed to bring analytical capabilities to applications with tighter resource constraints. Built to balance problem-solving depth with practical deployment needs, it extends reasoning-enhanced AI to broader use cases.
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Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
1 month newer
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Magistral Small 2506
Mistral AI
2025-06-10
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Average performance across 1 common benchmarks
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Magistral Small 2506
Average Score:68.2%(+16.2%)
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Phi 4 Mini Reasoning
Average Score:52.0%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
Magistral Small 2506
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Magistral Small 2506
0 providers
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Phi 4 Mini Reasoning
0 providers
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Magistral Small 2506
Avg Score:68.2%(+16.2%)
Providers:0
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Phi 4 Mini Reasoning
Avg Score:52.0%
Providers:0