How much does Anthropic: Claude Haiku 5.5 cost on Ofox?

Anthropic: Claude Haiku 5.5 on Ofox.ai costs $0.1/M per million input tokens and $0.5/M per million output tokens. Pay-as-you-go, no monthly fees.

What is Anthropic: Claude Haiku 5.5's context window?

Anthropic: Claude Haiku 5.5 supports a context window of 1,000,000 tokens, allowing you to process large documents and maintain long conversations.

How to use Anthropic: Claude Haiku 5.5 API via Ofox?

Simply set your base URL to https://api.ofox.io/v1 and use your Ofox API key. The API is OpenAI-compatible — just change the base URL and API key in your existing code.

What capabilities does Anthropic: Claude Haiku 5.5 support?

Anthropic: Claude Haiku 5.5 supports the following capabilities: vision, function calling, reasoning, prompt caching, pdf input. Access all features through the Ofox.ai unified API.

Anthropic: Claude Haiku 5.5

Name: Anthropic: Claude Haiku 5.5
Brand: anthropic
Price: 0.09999999999999999 USD
Availability: InStock

Chat

anthropic/claude-haiku-5.5

비교 Playground 사용해보기 시작하기

Claude Haiku 5.5 is Anthropic's fastest and most cost-effective model, successor to Claude Haiku 4.5, built for high-volume, latency-sensitive work such as classification, routing, extraction and sub-agent tasks. It supports a 1M-token context window, up to 128K output tokens and adaptive thinking. Prompts above 100K input tokens are billed at 5x the base rate.

컨텍스트 윈도우

최대 출력 토큰

128K

출시일

2026-10-07

기능

비전Function Calling추론프롬프트 캐싱PDF 입력

제공업체

Bedrock

지원 프로토콜

openaianthropic

Providers

Bedrockprovider.type: "aws_bedrock"

입력 토큰

$0.1/M

출력 토큰

$0.5/M

캐시 읽기

$0.01/M

캐시 쓰기 (5분)

$0.125/M

캐시 쓰기 (1시간)

$0.2/M

웹 검색

$0.015/R

Protocols

openai/v1/chat/completions/v1/responses

anthropic

Playground

OfoxChat에서 열기

코드 예제

import anthropic

client = anthropic.Anthropic(
    base_url="https://api.ofox.io/anthropic",
    api_key="YOUR_OFOX_API_KEY",
)

message = client.messages.create(
    model="anthropic/claude-haiku-5.5",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)

print(message.content[0].text)