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Magistral Small 2506 vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 30.7% higher average benchmark score. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Magistral Small 2506 is the stronger choice for coding tasks.
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Mistral AI
Magistral Small was created as an efficient reasoning-focused variant, designed to bring analytical capabilities to applications with tighter resource constraints. Built to balance problem-solving depth with practical deployment needs, it extends reasoning-enhanced AI to broader use cases.
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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.
2 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Magistral Small 2506
Mistral AI
2025-06-10
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Magistral Small 2506
Average Score:68.2%(+30.7%)
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Mistral Small 3.1 24B Base
Average Score:37.5%
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Knowledge Cutoff
Training data recency comparison
Magistral Small 2506
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Magistral Small 2506
0 providers
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
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Magistral Small 2506
Avg Score:68.2%(+30.7%)
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:37.5%
Providers:1