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anthropic
anthropic/claude-opus-4.6

anthropic/claude-opus-4.6

1,000,000 context · $5.00/M input$4.50/M input · $25.00/M output$22.50/M output10% off

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.

Preços

Pagamento por uso

Sem custo inicial, pague apenas pelo que usar

Entrada
$5.00 / M Tokens$4.50 / M Tokens
Saída
$25.00 / M Tokens$22.50 / M Tokens

Uso da API

Use os exemplos de código abaixo para integrar com nossa API:

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)

Introdução do modelo

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

SpecificationValue
ProviderAnthropic
Model TypeLarge Language Model (LLM)
ArchitectureN/A
Context Window1000000 tokens
Max Output128000 tokens
InputText
OutputText
VisionSupported
Function CallingSupported

Pricing

Token TypeCost per Million Tokens
Input$5.0
Output$25.0

How to Use

  1. Write your prompt — describe the task, provide context, and specify desired output format.
  2. 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

Info

Provedoranthropic
Tipollm

Funcionalidades suportadas

Entrada
TextoImagem
Saída
Texto
Contexto1,000,000
Saída máx.128,000
Vision✓ Suportado
Function Calling✓ Suportado

Guia de acesso à API

Base URLhttps://llm.wavespeed.ai/v1
API Endpointchat/completions
ID do modeloanthropic/claude-opus-4.6

Claude Opus 4.6 API

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 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.

Entrada

$5$4.50 /M

Saída

$25$22.50 /M

Desconto

10% off

Contexto

1000K

Saída máx.

128K

Vision

Suportado

Uso de ferramentas

Suportado

Experimente Claude Opus 4.6 no WaveSpeedAI

Acesse Claude Opus 4.6 através da nossa API unificada — compatível com OpenAI, sem inicializações a frio, preços transparentes.

Abrir Playground

Perguntas frequentes sobre Claude Opus 4.6

Quanto custa Claude Opus 4.6 via API?+

Preços no WaveSpeedAI: $4.50 por milhão de tokens de entrada e $22.50 por milhão de tokens de saída. Prompt caching e batch processing são cobrados separadamente e reduzem o custo efetivo em cargas longas e repetitivas.

Qual é a janela de contexto do Claude Opus 4.6?+

Claude Opus 4.6 suporta até 1000K tokens de contexto e até 128K tokens de saída por requisição.

Claude Opus 4.6 é compatível com OpenAI?+

Sim. O WaveSpeedAI expõe o Claude Opus 4.6 através de um endpoint compatível com OpenAI em https://llm.wavespeed.ai/v1. Aponte o SDK oficial da OpenAI para esta base URL com sua chave API do WaveSpeedAI — sem outras alterações no código.

Como começo a usar o Claude Opus 4.6?+

Entre no WaveSpeedAI, crie uma chave API em Access Keys, então envie uma requisição para https://llm.wavespeed.ai/v1/chat/completions com o model id mostrado acima. Contas novas recebem créditos grátis para avaliar o Claude Opus 4.6.

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