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Ministral 8B Instruct vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Ministral 8B was developed as a compact yet capable model from Mistral AI, designed to provide strong instruction-following with just 8 billion parameters. Built for applications requiring efficient deployment while maintaining reliable performance, it represents Mistral's smallest production-ready offering.
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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.
1 month newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Ministral 8B Instruct
Mistral AI
2024-10-16
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Pricing Comparison
Cost per million tokens (USD)
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Ministral 8B Instruct
Input:$0.10
Output:$0.10
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Ministral 8B Instruct
Average Score:62.1%(+0.3%)
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Phi-3.5-mini-instruct
Average Score:61.7%
Provider Availability & Performance
Available providers and their performance metrics
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Ministral 8B Instruct
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.18ms
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Phi-3.5-mini-instruct
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Ministral 8B Instruct
Avg Score:62.1%(+0.3%)
Providers:1
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Phi-3.5-mini-instruct
Avg Score:61.7%
Providers:1