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Mistral Small 3 24B Base vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 12.4% 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 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 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). 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 Reasoning
Microsoft
2025-04-30
Average performance across 18 common benchmarks
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Mistral Small 3 24B Base
Average Score:33.5%
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Phi 4 Reasoning
Average Score:45.9%(+12.4%)
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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:33.5%
Providers:0
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Phi 4 Reasoning
Avg Score:45.9%(+12.4%)
Providers:0