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Magistral Small 2506 vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 42.9% higher average benchmark score. Overall, Phi 4 Mini is the stronger choice for coding tasks.
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Mistral AI
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
4 months newer
Phi 4 Mini
Microsoft
2025-02-01
Magistral Small 2506
Mistral AI
2025-06-10
Average performance across 20 common benchmarks
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Magistral Small 2506
Average Score:12.6%
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Phi 4 Mini
Average Score:55.5%(+42.9%)
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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:12.6%
Providers:0
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Phi 4 Mini
Avg Score:55.5%(+42.9%)
Providers:0