+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Ministral 8B Instruct vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Ministral 8B Instruct leads with 4.6% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Mistral AI
Ministral 8B was developed as a compact yet capable model from Mistral AI, designed to provide strong instruction-following with just 8 billion parameters. Built for applications requiring efficient deployment while maintaining reliable performance, it represents Mistral's smallest production-ready offering.
+
+
+
+
Microsoft
Phi-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
3 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
Phi 4 Mini
Microsoft
2025-02-01
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
+
+
+
+
Ministral 8B Instruct
Average Score:67.5%(+4.6%)
+
+
+
+
Phi 4 Mini
Average Score:63.0%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Ministral 8B Instruct
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.18ms
+
+
+
+
Phi 4 Mini
+
+
+
+
Ministral 8B Instruct
Avg Score:67.5%(+4.6%)
Providers:1
+
+
+
+
Phi 4 Mini
Avg Score:63.0%
Providers:0