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Mistral Small 3 24B Base vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Mistral Small 3 24B Base leads with 36.3% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Overall, Mistral Small 3 24B Base is the stronger choice for coding tasks.
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Mistral AI
Mistral Small 3 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 67.0% across 9 benchmarks. It excels particularly in ARC-C (91.3%), GSM8k (80.7%), MMLU (80.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
3 months newer
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Average performance across 11 common benchmarks
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Mistral Small 3 24B Base
Average Score:54.8%(+36.3%)
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Phi 4 Mini Reasoning
Average Score:18.6%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
Phi 4 Mini Reasoning
2025-02-01
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 Reasoning
0 providers
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Mistral Small 3 24B Base
Avg Score:54.8%(+36.3%)
Providers:0
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Phi 4 Mini Reasoning
Avg Score:18.6%
Providers:0