Features
Compare 50+ models including GPT-4o, Claude 3.5, Gemini 1.5, Llama 3, Mistral, and more
Upload your own prompts or datasets (CSV, JSON, TXT)
Side-by-side quality scores based on custom criteria
Real-time cost estimation per model and per run
Latency benchmarking for each model response
Filter and sort models by quality, cost, or speed
Export comparison results as reports or spreadsheets
Public leaderboard of popular model performances
Co-pilot mode to suggest optimal model for your use case
Model sunset alerts when providers deprecate versions
High-fidelity synthetic data generation via TabularARGN
Agentic data science automation for training/sampling
Natural language AI Assistant executing Python code
Mock data generation for safe experimentation and testing
Simulated data for edge-case and what-if modeling
Multi-table synthesis with referential integrity
Time-series support and data rebalancing
Differential privacy with temperature control
Deployment on Kubernetes or Red Hat OpenShift
Open-source Synthetic Data SDK under Apache v2 license
Data connectors for Databricks, AWS, Snowflake, BigQuery
Real-time data access from production systems (e.g., Databricks)
Star schema and nested sequences support
REST API and Python Client for programmatic access
Conditional simulation and seeded generation
