+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Devstral Small 1.1 vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Mistral AI
Devstral Small was developed as a more efficient development-focused model, designed to bring software engineering assistance to resource-conscious deployments. Built to provide coding capabilities with reduced computational requirements, it enables developer tools in environments where efficiency is paramount.
+
+
+
+
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.
3 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Devstral Small 1.1
Mistral AI
2025-07-11
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Devstral Small 1.1
Input:$0.10
Output:$0.30
+
+
+
+
Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Devstral Small 1.1
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
+
+
+
+
Mistral Small 3.1 24B Base
+
+
+
+
Devstral Small 1.1
Avg Score:0.0%
Providers:1
+
+
+
+
Mistral Small 3.1 24B Base
Avg Score:0.0%
Providers:1