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Mistral Small 3 24B Base vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 47.0% higher average benchmark score. Overall, o4-mini is the stronger choice for coding tasks.
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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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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
2 months newer
Mistral Small 3 24B Base
Mistral AI
2025-01-30
o4-mini
OpenAI
2025-04-16
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Mistral Small 3 24B Base
Average Score:34.4%
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o4-mini
Average Score:81.4%(+47.0%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
o4-mini
2024-05-31
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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o4-mini
1 providers
OpenAI
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Mistral Small 3 24B Base
Avg Score:34.4%
Providers:0
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o4-mini
Avg Score:81.4%(+47.0%)
Providers:1