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Mistral Small 3 24B Base vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Mistral Small 3 24B Base supports multimodal inputs. 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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Microsoft
Phi-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
2 days newer
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Phi 4 Mini
Microsoft
2025-02-01
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Average performance across 6 common benchmarks
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Mistral Small 3 24B Base
Average Score:64.6%(+1.0%)
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Phi 4 Mini
Average Score:63.6%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
Phi 4 Mini
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small 3 24B Base
0 providers
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Phi 4 Mini
0 providers
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Mistral Small 3 24B Base
Avg Score:64.6%(+1.0%)
Providers:0
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Phi 4 Mini
Avg Score:63.6%
Providers:0