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Llama 3.2 3B Instruct vs Mistral Small 3 24B Instruct
Comprehensive side-by-side LLM comparison
Mistral Small 3 24B Instruct leads with 13.5% higher average benchmark score. Llama 3.2 3B Instruct offers 192.0K more tokens in context window than Mistral Small 3 24B Instruct. Both models have similar pricing. Overall, Mistral Small 3 24B Instruct is the stronger choice for coding tasks.
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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
Mistral Small 24B Instruct was created as the instruction-tuned version of the 24B base model, designed to follow user instructions reliably. Built to serve general-purpose applications requiring moderate capability, it balances performance with deployment practicality.
4 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
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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($0.18 cheaper)
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Mistral Small 3 24B Instruct
Input:$0.07
Output:$0.14
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama 3.2 3B Instruct
Average Score:52.7%
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Mistral Small 3 24B Instruct
Average Score:66.3%(+13.5%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Instruct
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
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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Mistral Small 3 24B Instruct
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Llama 3.2 3B Instruct
Avg Score:52.7%
Providers:1
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Mistral Small 3 24B Instruct
Avg Score:66.3%(+13.5%)
Providers:2