Model Comparison
Mistral 8x22BDeepSeek V3.1 Reasoner
Let's see who can write code better - Mistral 8x22B or DeepSeek V3.1 Reasoner
Model Information
Mistral 8x22B
Description
Advanced mixture of experts model with enhanced capabilities
Specifications
Context Window64K
Max Output4K
ReleasedApr 2024
API✓
Pricing (per 1M)
In / Out
$2/ $6
Key Features
Advanced mixture of expertsEnhanced reasoningLarger parameter countMulti-language support
Strengths
- ✓Very strong performance
- ✓Advanced reasoning capabilities
- ✓Good for complex tasks
- ✓Competitive with top models
Weaknesses
- ✗Expensive pricing
- ✗Requires significant compute
- ✗Complex deployment
Agent Support
No known agents
DeepSeek V3.1 Reasoner
Description
DeepSeek V3.1 Thinking mode
Specifications
Context Window128K
Max Output33K
ReleasedDec 2024
API✓
Pricing (per 1M)
In / Out
$0.07/ $1.68
Key Features
Performance improvementsBug fixesBetter stability
Strengths
- ✓More reliable than V3
- ✓Better performance
- ✓Improved efficiency
Weaknesses
- ✗Incremental improvements only
- ✗Still limited API access
Agent Support
No known agents