+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Mistral Small 3.1 24B Base vs o1-preview
Comprehensive side-by-side LLM comparison
o1-preview leads with 22.8% higher average benchmark score. Mistral Small 3.1 24B Base offers 95.2K more tokens in context window than o1-preview. Mistral Small 3.1 24B Base is $74.60 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, o1-preview is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
OpenAI
o1-preview was introduced as an early version of OpenAI's reasoning model series, designed to demonstrate the potential of AI models that engage in extended thinking before responding. Built to solve complex problems through deliberate reasoning processes, it represented an initial step toward more thoughtful and analytical AI systems.
6 months newer
o1-preview
OpenAI
2024-09-12
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($74.60 cheaper)
+
+
+
+
o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
Mistral Small 3.1 24B Base
Average Score:59.3%
+
+
+
+
o1-preview
Average Score:82.0%(+22.8%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Mistral Small 3.1 24B Base
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
+
+
+
+
o1-preview
+
+
+
+
Mistral Small 3.1 24B Base
Avg Score:59.3%
Providers:1
+
+
+
+
o1-preview
Avg Score:82.0%(+22.8%)
Providers:2