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Devstral Small 1.1 vs Llama 3.2 3B 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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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.
9 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
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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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($0.37 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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Llama 3.2 3B Instruct
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Devstral Small 1.1
Avg Score:0.0%
Providers:1
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Llama 3.2 3B Instruct
Avg Score:0.0%
Providers:1