+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 2 27B vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 1.3% higher average benchmark score. Mistral Small 3.1 24B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Gemma 2 27B was developed as an open-source language model with 27 billion parameters, designed to provide researchers and developers with a capable, instruction-tuned model for experimentation and deployment. Built to democratize access to advanced language understanding, it combines strong performance with the flexibility of open-source licensing.
+
+
+
+
Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
8 months newer
Gemma 2 27B
2024-06-27
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
Gemma 2 27B
Average Score:79.5%
+
+
+
+
Mistral Small 3.1 24B Base
Average Score:80.8%(+1.3%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemma 2 27B
0 providers
+
+
+
+
Mistral Small 3.1 24B Base
1 providers
Mistral AI
+
+
+
+
Gemma 2 27B
Avg Score:79.5%
Providers:0
+
+
+
+
Mistral Small 3.1 24B Base
Avg Score:80.8%(+1.3%)
Providers:1