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Devstral Medium vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Devstral Medium was created as a development-focused model, designed to assist with software engineering workflows and developer-centric tasks. Built to provide balanced capability for coding, debugging, and technical documentation, it serves as a versatile tool for professional development environments.
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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.
2 months newer
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Devstral Medium
Mistral AI
2025-07-10
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Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Devstral Medium
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Phi 4 Mini Reasoning
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Devstral Medium
Avg Score:0.0%
Providers:1
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Phi 4 Mini Reasoning
Avg Score:0.0%
Providers:0