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.ai/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

比較 Playground で試す始める

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.

コンテキストウィンドウ

最大出力トークン

128K

リリース日

2026-10-07

機能

VisionFunction Calling推論プロンプトキャッシュPDF入力

利用可能なプロバイダー

Bedrock

対応プロトコル

openaianthropic

Providers

Bedrockprovider.type: "aws_bedrock"

入力トークン

$0.1/M

出力トークン

$0.5/M

キャッシュ読込

$0.01/M

キャッシュ書込（5分）

$0.125/M

キャッシュ書込（1時間）

$0.2/M

Web検索

$0.015/R

Protocols

openai/v1/chat/completions/v1/responses

anthropic

Playground

OfoxChat で開く

コード例

import anthropic

client = anthropic.Anthropic(
    base_url="https://api.ofox.ai/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)