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Mistral Small 3 24B Base vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 33.6% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. o3-mini is available on 2 providers. Overall, o3-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
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
Launched on the same date
Mistral Small 3 24B Base
Mistral AI
2025-01-30
o3-mini
OpenAI
2025-01-30
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Mistral Small 3 24B Base
Average Score:53.7%
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o3-mini
Average Score:87.3%(+33.6%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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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o3-mini
2 providers
Azure
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Mistral Small 3 24B Base
Avg Score:53.7%
Providers:0
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o3-mini
Avg Score:87.3%(+33.6%)
Providers:2