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Magistral Small 2506 vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 43.0% 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 was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
4 months newer
Phi 4 Mini
Microsoft
2025-02-01
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%(+43.0%)
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Phi 4 Mini
Average Score:25.2%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
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
0 providers
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Magistral Small 2506
Avg Score:68.2%(+43.0%)
Providers:0
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Phi 4 Mini
Avg Score:25.2%
Providers:0