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Mistral Small 3 24B Base vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 25.7% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Overall, Phi 4 Reasoning 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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Microsoft
Phi-4 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
3 months newer
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Phi 4 Reasoning
Microsoft
2025-04-30
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Average performance across 2 common benchmarks
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Mistral Small 3 24B Base
Average Score:44.4%
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Phi 4 Reasoning
Average Score:70.0%(+25.7%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
Phi 4 Reasoning
2025-03-01
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 Reasoning
0 providers
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Mistral Small 3 24B Base
Avg Score:44.4%
Providers:0
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Phi 4 Reasoning
Avg Score:70.0%(+25.7%)
Providers:0