Model Comparison
Mistral 8x7BDeepSeek V3.1 Reasoner
Let's see who can write code better - Mistral 8x7B or DeepSeek V3.1 Reasoner
Model Information
Mistral 8x7B
Description
Mixture of experts model with strong performance
Specifications
Context Window32K
Max Output4K
ReleasedDec 2023
API✓
Pricing (per 1M)
In / Out
$0.7/ $0.7
Key Features
Mixture of expertsStrong performanceMulti-language supportOpen weights
Strengths
- ✓Excellent performance
- ✓Cost-effective for quality
- ✓Open source alternative
- ✓Good reasoning capabilities
Weaknesses
- ✗Smaller context than newer models
- ✗Requires more compute
- ✗Complex architecture
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