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Magistral Small 2506 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 37.8% 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-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
9 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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%(+37.8%)
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Phi-3.5-mini-instruct
Average Score:30.4%
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Knowledge Cutoff
Training data recency comparison
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-3.5-mini-instruct
1 providers
Azure
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Magistral Small 2506
Avg Score:68.2%(+37.8%)
Providers:0
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Phi-3.5-mini-instruct
Avg Score:30.4%
Providers:1