Analytics

Detailed analytics and performance metrics for your AI models.

API Usage

GPT-4

Claude

Llama

Usage by Model Type

Text Generation65%

Image Generation15%

Classification12%

Embeddings8%

Top API Endpoints

/api/chat450K

/api/complete320K

/api/generate280K

/api/classify150K

Usage by Application

Customer Support380K

Content Creation290K

Data Analysis210K

Search Enhancement180K

Performance Metrics

Latency (ms)

Accuracy (%)

Model Response Times

GPT-4o120ms

Claude 3150ms

Llama 390ms

Mistral100ms

Accuracy Scores

GPT-4o97.5%

Claude 396.8%

Llama 394.2%

Mistral93.5%

Error Rates

GPT-4o0.3%

Claude 30.5%

Llama 30.8%

Mistral0.7%

Cost by Model

GPT-4o$1,200

48% of total

Claude 3$850

34% of total

Llama 3$250

10% of total

Mistral$150

6% of total

Others$50

2% of total

Cost by Service

API Calls$1,800

72% of total

Fine-tuning$450

18% of total

Storage$150

6% of total

Embeddings$100

4% of total

Cost Optimization Recommendations

Optimize Token Usage

Reduce prompt length to minimize token consumption.

Potential saving: $250/month

Caching Frequent Responses

Implement caching for common queries to reduce API calls.

Potential saving: $350/month

Model Downgrading

Use smaller models for simpler tasks that don't require advanced reasoning.

Potential saving: $200/month

Request Batching

Batch similar requests together to reduce API overhead.