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Mistral Small 3 24B Base vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 14.2% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Overall, Phi 4 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 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
1 month newer
Phi 4
Microsoft
2024-12-12
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Performance Metrics
Context window and performance specifications
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
Average Score:47.7%(+14.2%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
Phi 4
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
1 providers
DeepInfra
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Mistral Small 3 24B Base
Avg Score:33.5%
Providers:0
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Phi 4
Avg Score:47.7%(+14.2%)
Providers:1