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Devstral Small 1.1 vs Phi-3.5-MoE-instruct
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-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
10 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Devstral Small 1.1
Mistral AI
2025-07-11
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Performance Metrics
Context window and performance specifications
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-3.5-MoE-instruct
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Devstral Small 1.1
Avg Score:0.0%
Providers:1
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Phi-3.5-MoE-instruct
Avg Score:0.0%
Providers:0