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Mistral Small 3.1 24B Instruct vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 2.6% higher average benchmark score. Mistral Small 3.1 24B Instruct supports multimodal inputs. 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 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
3 months newer
Phi 4
Microsoft
2024-12-12
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 6 common benchmarks
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Mistral Small 3.1 24B Instruct
Average Score:60.2%
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Phi 4
Average Score:62.9%(+2.6%)
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Knowledge Cutoff
Training data recency comparison
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 3.1 24B Instruct
0 providers
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Phi 4
1 providers
DeepInfra
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Mistral Small 3.1 24B Instruct
Avg Score:60.2%
Providers:0
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Phi 4
Avg Score:62.9%(+2.6%)
Providers:1