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Mistral Small 3 24B Base vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 43.3% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Overall, Phi-3.5-MoE-instruct 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-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
5 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Average performance across 33 common benchmarks
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Mistral Small 3 24B Base
Average Score:18.3%
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Phi-3.5-MoE-instruct
Average Score:61.6%(+43.3%)
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Knowledge Cutoff
Training data recency comparison
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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Phi-3.5-MoE-instruct
0 providers
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Mistral Small 3 24B Base
Avg Score:18.3%
Providers:0
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Phi-3.5-MoE-instruct
Avg Score:61.6%(+43.3%)
Providers:0