+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3 4B vs Ministral 8B Instruct
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 28.8% higher average benchmark score. Gemma 3 4B offers 6.1K more tokens in context window than Ministral 8B Instruct. Both models have similar pricing. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B is the stronger choice for coding tasks.
+
+
+
+
Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
+
+
+
+
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.
4 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
Gemma 3 4B
2025-03-12
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Gemma 3 4B
Input:$0.02
Output:$0.04($0.14 cheaper)
+
+
+
+
Ministral 8B Instruct
Input:$0.10
Output:$0.10
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
Gemma 3 4B
Average Score:73.4%(+28.8%)
+
+
+
+
Ministral 8B Instruct
Average Score:44.6%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
+
+
+
+
Ministral 8B Instruct
+
+
+
+
Gemma 3 4B
Avg Score:73.4%(+28.8%)
Providers:1
+
+
+
+
Ministral 8B Instruct
Avg Score:44.6%
Providers:1