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Mistral Small vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct offers 190.5K more tokens in context window than Mistral Small. Phi-3.5-mini-instruct is $0.60 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Mistral Small was created as an efficient model offering, designed to provide capable language understanding with reduced computational requirements. Built to serve cost-sensitive applications while maintaining quality, it enables Mistral's technology in scenarios where resource efficiency is valued.
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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.
25 days newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Mistral Small
Mistral AI
2024-09-17
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Pricing Comparison
Cost per million tokens (USD)
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Mistral Small
Input:$0.20
Output:$0.60
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.60 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Phi-3.5-mini-instruct
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Mistral Small
Avg Score:0.0%
Providers:1
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Phi-3.5-mini-instruct
Avg Score:0.0%
Providers:1