Model Comparison
Mistral NeMoDeepSeek V3.1 Reasoner
Let's see who can write code better - Mistral NeMo or DeepSeek V3.1 Reasoner
Model Information
Mistral NeMo
Description
Efficient model with balanced input/output pricing
Specifications
Context Window128K
Max Output4K
ReleasedJul 2024
API✓
Pricing (per 1M)
In / Out
$0.15/ $0.15
Key Features
Balanced pricingGood efficiencyMulti-language supportFast inference
Strengths
- ✓Equal input/output pricing
- ✓Good performance
- ✓Cost-effective for balanced workloads
- ✓Reliable API
Weaknesses
- ✗Not specialized for any particular task
- ✗Less powerful than large models
- ✗Limited advanced reasoning
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