Anthropic/operational

Anthropic: Claude Sonnet 5.5

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...

Input / output per 1M

$2.00/$10.00

Get an API key

function-callingvision

1.0M

Context window

tokens

128K

Max output

tokens per reply

98ms

Time to first token

p50, EU region

$10.00

Output price

per 1M tokens

Fit

Where this model earns its place

function calling

Tool use and structured output — dependable JSON for agent loops, RAG pipelines, and workflow automation.

vision

Image input — screenshots, scanned documents, charts, and photographed forms, without a separate OCR step.

Data handling

Requests are processed in the EU. Prompts are not used for training, and logs follow the retention period in your contract — zero-retention is available on request.

Specifications

Model

Model ID: anthropic/claude-sonnet-5.5
Provider: Anthropic
Context length: 1.0M
Max output: 128K
Modality: text + image
Licence: Proprietary

Commercial

Input: $2.00
Output: $10.00
Cached input: $0.10
Deployment: serverless
Availability: operational
Last updated: 2026-10-26

Cost

What a month actually costs

Workload	Input tokens	Output tokens	Monthly cost
Prototype	1.0M	250K	$4.50
Production	50.0M	12.0M	$220.00
At scale	500.0M	120.0M	$2,200

Illustrative volumes at list price, excluding cached-input discounts and any committed-use agreement. Your invoice shows the same rates, itemised per key.

Cheaper by caching

Repeated prompts — system instructions, retrieved context, few-shot examples — are billed at the cached-input rate where the model supports it. On long system prompts this is typically the largest single line-item saving.

API

Same SDK, different base URL

cURL

curl https://api.itciphtech.com/v1/chat/completions \
  -H "Authorization: Bearer $CIPHER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-sonnet-5.5",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

TypeScript

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.itciphtech.com/v1",
  apiKey: process.env.CIPHER_API_KEY,
});

const res = await client.chat.completions.create({
  model: "anthropic/claude-sonnet-5.5",
  messages: [{ role: "user", content: "Hello!" }],
});

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Need this model on dedicated hardware?

Run it single-tenant, inside your own network boundary, with the operations handled by us.

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