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Mistral Small 3 24B Base vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 1.3% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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.
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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
1 month newer
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Mistral Small 3 24B Base
Average Score:62.4%
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Mistral Small 3.1 24B Base
Average Score:63.8%(+1.3%)
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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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Mistral Small 3 24B Base
0 providers
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
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Mistral Small 3 24B Base
Avg Score:62.4%
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:63.8%(+1.3%)
Providers:1