Model Comparison
Mistral LargeGemini 1.5 Pro
Let's see who can write code better - Mistral Large or Gemini 1.5 Pro
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
Gemini 1.5 Pro
Description
Multimodal model with massive context window up to 2M tokens
Specifications
Context Window2.0M
Max Output8K
ReleasedMay 2024
API✓
Pricing (per 1M)
In / Out
$1.25/ $5
Key Features
Massive context windowMultimodal understandingCode executionAudio processingVideo understanding
Strengths
- ✓Largest context window available
- ✓Strong multimodal capabilities
- ✓Good at following instructions
- ✓Excellent for document analysis
Weaknesses
- ✗Can be slow with large contexts
- ✗API availability limitations
- ✗Inconsistent performance
Agent Support
No known agents