1. Ultra-fast, ultra-cheap

• Designed for mass-scale workloads.
• Excellent for rewriting, extraction, classification.

2. Limited reasoning but great utility

• High throughput, low latency.

3. Optional thinking mode

• Adds chain-of-thought when needed.

4. Supports context cache & batch calls

• Very cost-effective system design.

1. Exceptional at large-scale data analysis

• Designed to handle massive datasets.
• Identifies trends, correlations, and anomalies.

2. High performance in predictive analytics

• Useful for forecasting, modeling, and probabilistic predictions.
• Popular in finance, medical research, and market trend analysis.

3. Optimized for structured, data-heavy workloads

• Stronger at analytical and statistical tasks than general text generation.

4. Enterprise-oriented capabilities

• Built for businesses needing deep insights from continuous data streams.