claude-haiku-4-5-20251001
Claude Haiku 4.5 is a model in the Claude family that emphasizes speed and high throughput, and is suitable for production applications that are sensitive to latency and have a large number of calls. It can be used for real-time customer service, intent recognition, text classification, information extraction, short summaries, content security preliminary screening, batch document processing and workflow routing. Compared with the large Opus model, it is more suitable for completing steps with clear structure and quick verification, and can also be used as a pre-screening layer in a multi-model architecture. It supports manually extended thinking that can be adjusted between speed and quality for complex tasks.
- Context
- 200000 tokens
- Max output
- 64000 tokens
- Input
- llm image
- Output
- llm
Pricing
Input: $1 / 1M tokens
Output: $5 / 1M tokens
Cached input: $0.1 / 1M tokens
Cache write: $1.25 / 1M tokens
Endpoints
- anthropic
- openai