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Mistral Small 3.1 24B Base vs Mistral Small 3.1 24B Instruct
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Instruct leads with 3.8% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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.
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Mistral AI
Mistral Small 3.1 24B Instruct was developed as the instruction-tuned version of the 3.1 base model, designed to deliver improved instruction-following with refinements from the updated architecture. Built to serve diverse applications with enhanced reliability, it advances the Small model line's capabilities.
Launched on the same date
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Mistral Small 3.1 24B Base
Average Score:62.9%
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Mistral Small 3.1 24B Instruct
Average Score:66.6%(+3.8%)
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Mistral Small 3.1 24B Instruct
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Mistral Small 3.1 24B Base
Avg Score:62.9%
Providers:1
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Mistral Small 3.1 24B Instruct
Avg Score:66.6%(+3.8%)
Providers:0