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Devstral Small 1.1 vs Phi 4 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 Small was developed as a more efficient development-focused model, designed to bring software engineering assistance to resource-conscious deployments. Built to provide coding capabilities with reduced computational requirements, it enables developer tools in environments where efficiency is paramount.
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Microsoft
Phi-4 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
2 months newer
Phi 4 Reasoning
Microsoft
2025-04-30
Devstral Small 1.1
Mistral AI
2025-07-11
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Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
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 Small 1.1
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Phi 4 Reasoning
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Devstral Small 1.1
Avg Score:0.0%
Providers:1
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Phi 4 Reasoning
Avg Score:0.0%
Providers:0