+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3 4B vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 3.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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
Mistral Small 24B Base was developed as a 24-billion-parameter foundation model, designed to serve as a base for fine-tuning and customization. Built to provide a strong starting point for domain-specific applications, it represents an intermediate-scale option in Mistral's model lineup.
1 month newer
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Gemma 3 4B
2025-03-12
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
+
+
+
+
Gemma 3 4B
Average Score:60.5%(+3.5%)
+
+
+
+
Mistral Small 3 24B Base
Average Score:57.0%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
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
+
+
+
+
Mistral Small 3 24B Base
+
+
+
+
Gemma 3 4B
Avg Score:60.5%(+3.5%)
Providers:1
+
+
+
+
Mistral Small 3 24B Base
Avg Score:57.0%
Providers:0