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Devstral Small 1.1 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Both models have similar pricing. 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 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.
10 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Devstral Small 1.1
Mistral AI
2025-07-11
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Pricing Comparison
Cost per million tokens (USD)
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Devstral Small 1.1
Input:$0.10
Output:$0.30
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.20 cheaper)
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-mini-instruct
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Devstral Small 1.1
Avg Score:0.0%
Providers:1
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Phi-3.5-mini-instruct
Avg Score:0.0%
Providers:1