Claude Opus 4.6 | Anthropic LLM API Pricing & Performance

Name: Claude Opus 4.6 API
Brand: anthropic
Price: 4.75 USD
Availability: InStock

Utilisation de l'API

Utilisez les exemples de code suivants pour intégrer notre API :

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["WAVESPEED_API_KEY"],
    base_url="https://llm.wavespeed.ai/v1",
    timeout=120.0,
    max_retries=2,
)

try:
    response = client.chat.completions.create(
        model="anthropic/claude-opus-4.6",
        messages=[{"role": "user", "content": "Hello!"}],
    )
    print(response.choices[0].message.content or "")
except Exception as exc:
    raise SystemExit(f"LLM request failed: {exc}") from exc

Introduction au modèle

Anthropic claude-opus-4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows ra

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective for large codebases, complex refactors, and multi-step debugging that unfolds over time. The model shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks than prior generations.Beyond coding, Opus 4.6 excels at sustained knowledge work. It produces near-production-ready documents, plans, and analyses in a single pass, and maintains coherence across very long outputs and extended sessions. This makes it a strong default for tasks that require persistence, judgment, and follow-through, such as technical design, migration planning, and end-to-end project execution.

Why It Looks Great

Large Language Model architecture for efficient processing
1000000 context window for long document handling
Competitive pricing at $5.0/$25.0 per million tokens

Key Features

Context Window: 1000000 tokens
Max Output: 128000 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Anthropic
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	1000000 tokens
Max Output	128000 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$5.0
Output	$25.0

How to Use

Write your prompt — describe the task, provide context, and specify 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-opus-4.6

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-opus-4.6",
    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-opus-4.6",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: anthropic/claude-opus-4.6
Provider: Anthropic

Claude Opus 4.6 API

anthropic/claude-opus-4.6

Questions fréquentes sur Claude Opus 4.6

Combien coûte l'API Claude Opus 4.6 ?+

Tarification sur WaveSpeedAI : $4.75 par million de tokens d'entrée et $23.75 par million de tokens de sortie. Le prompt caching et le traitement par batch sont facturés séparément et réduisent le coût effectif sur les charges longues et répétitives.

Quelle est la fenêtre de contexte de Claude Opus 4.6 ?+

Claude Opus 4.6 prend en charge jusqu'à 1000K tokens de contexte et jusqu'à 128K tokens de sortie par requête.

Claude Opus 4.6 est-il compatible avec OpenAI ?+

WaveSpeedAI expose Claude Opus 4.6 à https://llm.wavespeed.ai/v1 via l’interface Chat Completions compatible OpenAI. La plupart des clients du SDK OpenAI fonctionnent en changeant l’URL de base et la clé API ; les champs facultatifs dépendent du modèle.

Comment démarrer avec Claude Opus 4.6 ?+

Connectez-vous à WaveSpeedAI, créez une clé API dans Access Keys, puis envoyez une requête à https://llm.wavespeed.ai/v1/chat/completions avec l’id du modèle affiché ci-dessus. Consultez le catalogue actuel pour la disponibilité, les capacités et les tarifs.

Tarification

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