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Llama 3.2 3B Instruct vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3 24B Base leads with 6.5% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Overall, Mistral Small 3 24B Base 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 Base was developed as a 24-billion-parameter foundation model, designed to serve as a base for fine-tuning and customization. Built to provide a strong starting point for domain-specific applications, it represents an intermediate-scale option in Mistral's model lineup.
4 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Mistral Small 3 24B Base
Mistral AI
2025-01-30
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Llama 3.2 3B Instruct
Average Score:60.1%
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Mistral Small 3 24B Base
Average Score:66.6%(+6.5%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
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 Base
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Llama 3.2 3B Instruct
Avg Score:60.1%
Providers:1
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Mistral Small 3 24B Base
Avg Score:66.6%(+6.5%)
Providers:0