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Magistral Small 2506 vs Phi 4
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 12.1% 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 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.
6 months newer
Phi 4
Microsoft
2024-12-12
Magistral Small 2506
Mistral AI
2025-06-10
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Magistral Small 2506
Average Score:68.2%(+12.1%)
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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
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
1 providers
DeepInfra
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Magistral Small 2506
Avg Score:68.2%(+12.1%)
Providers:0
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Phi 4
Avg Score:56.1%
Providers:1