1. Strong general-purpose reasoning

• Great for coding, analysis, creation, and multi-step tasks.

2. Stable commercial-grade model

• Predictable output quality and long-term stability.

3. Supports batch operations

• Batch inference is 50% cheaper.

4. Good for production agents

• Reliable instruction following and structured output.

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.