Claude Haiku 5.5 Model Guide: Million-Token Context at Competitive Pricing

2026-10-10 · 原创·模型聚焦

Claude Haiku 5.5: A Deep Dive into Anthropic's Fastest Small Model

Model Positioning

Claude Haiku 5.5 is Anthropic's fastest and most capable small model, purpose-built for high-frequency tasks such as summarization, classification, and database queries. Despite its compact footprint, it offers an impressive 1,000,000-token context window, enabling it to process lengthy documents and complex conversation histories while maintaining both speed and deep comprehension. This combination makes it a compelling choice for developers and enterprises looking to balance performance with cost efficiency.

Parameters and Pricing

| Item | Value |

|------|-------|

| Model ID | claude-haiku-5-5 |

| Context Window | 1,000,000 tokens |

| Input Price | $0.1 / million tokens |

| Output Price | $0.5 / million tokens |

| Modality | chat |

For a typical workload of 1 million input tokens and 100,000 output tokens, a single round of processing costs approximately $0.15 — significantly lower than larger parameter models. This pricing structure is particularly advantageous for applications requiring frequent API calls at scale, where per-request costs accumulate rapidly.

Suitable Business Scenarios

1. Online Customer Service

Claude Haiku 5.5 is naturally suited for online customer service scenarios that demand rapid response times. Leveraging its million-token context window, the model can simultaneously maintain multi-turn conversation history and reference knowledge base content, delivering quality responses with minimal latency. This makes it ideal for high-traffic support systems where both speed and accuracy are essential.

2. Sub-Agent Tasks and Browser Operations

The model excels in sub-agent tasks and browser operations, making it well-suited for building automated workflows. In multi-step task orchestration, Haiku 5.5 can serve as an execution node, quickly completing intermediate reasoning and tool invocations. This enables efficient pipeline execution where multiple agents collaborate on complex objectives.

3. High-Frequency Summarization and Classification

For large-scale text processing needs — such as news summarization, ticket classification, and database query generation — Haiku 5.5 stands out as a cost-effective solution for batch processing. It combines low latency with competitive pricing to handle high-volume workloads efficiently, making it an excellent fit for data pipelines that process thousands of documents daily.

API Call Example

curl -X POST "https://api.hefu.hk/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "claude-haiku-5-5",
    "messages": [
      {"role": "user", "content": "Classify the following customer feedback into: product suggestion, bug report, or usage inquiry. Feedback: The login page loads very slowly."}
    ]
  }'

Summary

With its million-token context window, highly competitive pricing, and exceptional response speed, Claude Haiku 5.5 delivers a cost-effective AI capability for high-frequency task scenarios. We invite you to explore this model in the model marketplace and test it against your real-world business requirements.