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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.

定价

按量付费

无需预付费用,仅按实际使用量付费

输入
$5.00 / M Tokens$4.50 / M Tokens
输出
$25.00 / M Tokens$22.50 / M Tokens

API 使用

使用以下代码示例接入我们的 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)

模型介绍

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

信息

提供商anthropic
类型llm

支持功能

输入
文本图像
输出
文本
上下文1,000,000
最大输出128,000
视觉✓ 支持
函数调用✓ 支持

API 访问指南

Base URLhttps://llm.wavespeed.ai/v1
API 端点chat/completions
Model IDanthropic/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.

输入

$5$4.50 /M

输出

$25$22.50 /M

折扣

10% 折扣

上下文

1000K

最大输出

128K

Vision

支持

工具调用

支持

在 WaveSpeedAI 试用 Claude Opus 4.6

通过我们的统一 API 接入 Claude Opus 4.6 — 兼容 OpenAI、无冷启动、透明计费。

打开 Playground

关于 Claude Opus 4.6 的常见问题

Claude Opus 4.6 API 多少钱?+

WaveSpeedAI 定价:输入每百万 token $4.50,输出每百万 token $22.50。Prompt 缓存和批处理单独计费,可显著降低长上下文、高重复任务的实际成本。

Claude Opus 4.6 的上下文窗口是多大?+

Claude Opus 4.6 单次请求最多支持 1000K 上下文 token,输出最多 128K token。

Claude Opus 4.6 是否兼容 OpenAI?+

是的。WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容端点提供 Claude Opus 4.6。把官方 OpenAI SDK 的 base URL 指向该地址,使用 WaveSpeedAI 的 API Key 即可,无需任何其他代码改动。

如何开始使用 Claude Opus 4.6?+

登录 WaveSpeedAI,在 Access Keys 中生成 API Key,使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。新账户可获得免费额度,用于试用 Claude Opus 4.6。

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