+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Mistral Small 3.2 24B Instruct vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 7.8% higher average benchmark score. Mistral Small 3.2 24B Instruct supports multimodal inputs. Overall, Phi 4 Mini Reasoning is the stronger choice for coding tasks.
+
+
+
+
Mistral AI
Mistral Small 3.2 24B Instruct represents a further evolution of the Small model series, developed with continued refinements to instruction-following and task performance. Built to incorporate ongoing improvements, it provides the latest capabilities in Mistral's intermediate-scale offering.
+
+
+
+
Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
1 month newer
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Mistral Small 3.2 24B Instruct
Mistral AI
2025-06-20
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 1 common benchmarks
+
+
+
+
Mistral Small 3.2 24B Instruct
Average Score:44.2%
+
+
+
+
Phi 4 Mini Reasoning
Average Score:52.0%(+7.8%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Mistral Small 3.2 24B Instruct
2023-10-01
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Mistral Small 3.2 24B Instruct
0 providers
+
+
+
+
Phi 4 Mini Reasoning
0 providers
+
+
+
+
Mistral Small 3.2 24B Instruct
Avg Score:44.2%
Providers:0
+
+
+
+
Phi 4 Mini Reasoning
Avg Score:52.0%(+7.8%)
Providers:0