Claude Sonnet 5.5 | Anthropic LLM API Pricing & Performance

Name: Claude Sonnet 5.5 API
Brand: anthropic
Price: 2 USD
Availability: InStock

anthropic/claude-sonnet-5.5

Veröffentlichungsdatum: 2026-09-29

1,000,000 context · $2.00/M input tokens · $10.00/M output tokens

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...

Preise

Pay-per-Use

Keine Vorabkosten, zahlen Sie nur, was Sie nutzen

Eingabe$2.00 / M Tokens

Ausgabe$10.00 / M Tokens

Cache Read$0.10 / M Tokens

Cache Write$2.50 / M Tokens

Modell ausprobieren

anthropic/claude-sonnet-5.5

Online

Hallo! Ich bin ein hilfreicher KI-Assistent. Womit kann ich helfen?

Bereit, dieses Modell in einem lokalen Coding-Agent zu verwenden?Agent-Setup

API-Nutzung

Verwenden Sie die folgenden Codebeispiele zur Integration mit unserer API:

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 0,
});

try {
  const response = await client.chat.completions.create({
    model: 'anthropic/claude-sonnet-5.5',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  const body = response as typeof response & { error?: { message?: string } };
  if (body.error) throw new Error(body.error.message || 'LLM generation failed');
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 0,
});

try {
  const response = await client.chat.completions.create({
    model: 'anthropic/claude-sonnet-5.5',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  const body = response as typeof response & { error?: { message?: string } };
  if (body.error) throw new Error(body.error.message || 'LLM generation failed');
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

Modelleinführung

Anthropic: Claude Sonnet 5.5

This model is available through the WaveSpeed AI OpenAI-compatible API for chat completions and compatible application workflows.

Why It Looks Great

text+image+file->text architecture for Text, Image, file to Text workloads
1000000 context window for long prompts, document analysis, and multi-turn workflows
Vision input support for image understanding and multimodal tasks
Function calling and tool-use support for agentic application workflows
Structured output support for JSON responses and schema-constrained generation
Reasoning controls available through supported parameters

Key Features

Context Window: 1000000 tokens
Max Input: 872000 tokens
Max Output: 128000 tokens
Vision: Supported
Function Calling: Supported
Structured Outputs: Supported
Image Generation: Not listed
Audio Input: Not listed
Supported Parameters: include_reasoning, max_completion_tokens, max_tokens, reasoning, reasoning_effort, response_format, stop, structured_outputs, tool_choice, tools, verbosity

Specifications

Specification	Value
Provider	anthropic
Model Type	Chat Completions model
Architecture	text+image+file->text
Context Window	1000000 tokens
Max Input	872000 tokens
Max Output	128000 tokens
Input	Text, Image, file
Output	Text
Vision	Supported
Function Calling	Supported
Structured Outputs	Supported
Release Date	September 29, 2026

How to Use

Write your prompt - describe the task, provide context, and specify the desired output format.
Submit - the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: anthropic/claude-sonnet-5.5

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

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

print(response.choices[0].message.content)

cURL

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

Notes

Model: anthropic/claude-sonnet-5.5
Provider: anthropic

Info

Anbieteranthropic

Typllm

Unterstützte Funktionen

Eingabe

TextBild

Ausgabe

Text

Kontext1,000,000

Max. Ausgabe128,000

Vision✓ Unterstützt

Function Calling✓ Unterstützt

API-Zugriffsanleitung

Base URLhttps://llm.wavespeed.ai/v1

API-Endpunktchat/completions

Modell-IDanthropic/claude-sonnet-5.5

Häufige Fragen zu Claude Sonnet 5.5

Wie viel kostet die Claude Sonnet 5.5-API?+

Preise auf WaveSpeedAI: $2.00 pro Million Input-Tokens und $10.00 pro Million Output-Tokens. Prompt-Caching und Batch-Verarbeitung werden separat berechnet und reduzieren die effektiven Kosten bei langen, sich wiederholenden Workloads.

Wie groß ist das Kontextfenster von Claude Sonnet 5.5?+

Claude Sonnet 5.5 unterstützt bis zu 1000K Kontext-Tokens und bis zu 128K Output-Tokens pro Anfrage.

Ist Claude Sonnet 5.5 OpenAI-kompatibel?+

WaveSpeedAI stellt Claude Sonnet 5.5 unter https://llm.wavespeed.ai/v1 über die OpenAI-kompatible Chat-Completions-Schnittstelle bereit. Bei den meisten OpenAI-SDK-Clients reichen Base-URL und API-Schlüssel; optionale Felder hängen vom Modell ab.

Wie starte ich mit Claude Sonnet 5.5?+

Melden Sie sich bei WaveSpeedAI an, erstellen Sie unter Access Keys einen API-Schlüssel und senden Sie eine Anfrage mit der oben gezeigten Modell-ID an https://llm.wavespeed.ai/v1/chat/completions. Verfügbarkeit, Fähigkeiten und Preise finden Sie im aktuellen Modellkatalog.