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Llama 3.2 3B Instruct vs Ministral 8B 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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Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
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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.
21 days newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Ministral 8B Instruct
Mistral AI
2024-10-16
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($0.17 cheaper)
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Ministral 8B Instruct
Input:$0.10
Output:$0.10
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama 3.2 3B Instruct
Average Score:63.3%
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Ministral 8B Instruct
Average Score:63.8%(+0.5%)
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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Ministral 8B Instruct
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Llama 3.2 3B Instruct
Avg Score:63.3%
Providers:1
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Ministral 8B Instruct
Avg Score:63.8%(+0.5%)
Providers:1