Claude Haiku 5.5
Language modelCard summarizedFor high-volume, latency-sensitive tasks such as classification, extraction, and routing
Active (latest) · retires not before 7 Oct 2027● Re-checked 12 Oct 2026 · 89 facts · 2 corrections · 1 unconfirmedSource: System Card: Claude Haiku 5.5 (144 pp)
Use it via API
Where to call it
- Claude API
claude-haiku-5-5 - Amazon Bedrock
anthropic.claude-haiku-5-5 - Google Vertex AI
claude-haiku-5-5 - Microsoft Foundry / Azure
claude-haiku-5-5
Supports
- Image input
- PDF input
- Structured outputs
- Reasoning control
- Tool calling
- Web search
- Prompt caching
- Batch API
Good for
- High-volume, latency-sensitive work: classification, routing, extraction, sub-agents
- Coding: large gains over Haiku 4.5 (SWE-bench Multilingual 83.7% vs 67.4%)
- Computer use: OSWorld 2.1 offline subset 72.4% vs 15.7% for Haiku 4.5
Overview
Haiku 5.5
For high-volume, latency-sensitive tasks such as classification, extraction, and routing
- Cost
- $0.10 in
- Context
- 1M
- Input / output
- $0.10 / $0.50
- Max output
- 128K
- Knows up to
- June 2026
- Released
- 7 Oct 2026
Anthropic's latest Haiku-class large language model. It significantly outperforms Claude Haiku 4.5 across many domains and in a few areas rivals or exceeds Claude Sonnet 5.5, but is broadly less capable than Claude Opus 5 and crosses no new RSP thresholds. p.2–3
claude-haiku-5-5- Input / output per 1M
- $0.10 / $0.50
- Context window
- 1M
- Max output
- 128K
- Knows up to
- June 2026
- Reasoning
- Adaptive
- Weights
- Closed
About this card. A model card is the maker's own account of a model: what it's for, how it was trained and tested, and where it falls short. This page condenses Anthropic's System Card: Claude Haiku 5.5. Every claim carries its source page.