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Mistral Small 3.1 24B Instruct vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Instruct leads with 4.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Mistral Small 3.1 24B Instruct was developed as the instruction-tuned version of the 3.1 base model, designed to deliver improved instruction-following with refinements from the updated architecture. Built to serve diverse applications with enhanced reliability, it advances the Small model line's capabilities.
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Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
1 month newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Mistral Small 3.1 24B Instruct
Average Score:59.3%(+4.2%)
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Phi-4-multimodal-instruct
Average Score:55.1%
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
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 3.1 24B Instruct
0 providers
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Phi-4-multimodal-instruct
1 providers
DeepInfra
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Mistral Small 3.1 24B Instruct
Avg Score:59.3%(+4.2%)
Providers:0
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Phi-4-multimodal-instruct
Avg Score:55.1%
Providers:1