+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Ministral 8B Instruct vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. 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 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.
3 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
Phi-4-multimodal-instruct
Microsoft
2025-02-01
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Ministral 8B Instruct
Input:$0.10
Output:$0.10
+
+
+
+
Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($0.05 cheaper)
Performance Metrics
Context window and performance specifications
+
+
+
+
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
+
+
+
+
Ministral 8B Instruct
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.18ms
+
+
+
+
Phi-4-multimodal-instruct
+
+
+
+
Ministral 8B Instruct
Avg Score:0.0%
Providers:1
+
+
+
+
Phi-4-multimodal-instruct
Avg Score:0.0%
Providers:1