Model Comparison
Mistral LargeDeepSeek V3.1 Reasoner
Let's see who can write code better - Mistral Large or DeepSeek V3.1 Reasoner
Model Information
Mistral Large
Mistral AIv2407
Description
Flagship model with strong reasoning and multilingual capabilities
Specifications
Context Window128K
Max Output4K
ReleasedJul 2024
API✓
Pricing (per 1M)
In / Out
$2/ $6
Key Features
Function callingStrong multilingualCode generationReasoning capabilities
Strengths
- ✓Good price-performance ratio
- ✓Strong European language support
- ✓Reliable API
- ✓Good at following instructions
Weaknesses
- ✗Smaller ecosystem
- ✗Less capable than GPT-4/Claude
- ✗Limited multimodal support
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