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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.

Cennik

Płać za użycie

Bez kosztów początkowych, płacisz tylko za to, czego używasz

Wejście
$5.00 / M Tokens$4.50 / M Tokens
Wyjście
$25.00 / M Tokens$22.50 / M Tokens

Użycie API

Użyj poniższych przykładów kodu, aby zintegrować się z naszym 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)

Wprowadzenie do modelu

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

Dostawcaanthropic
Typllm

Obsługiwane funkcje

Wejście
TekstObraz
Wyjście
Tekst
Kontekst1,000,000
Maks. wyjście128,000
Vision✓ Obsługiwane
Function Calling✓ Obsługiwane

Przewodnik dostępu do API

Base URLhttps://llm.wavespeed.ai/v1
API Endpointchat/completions
ID modeluanthropic/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.

Wejście

$5$4.50 /M

Wyjście

$25$22.50 /M

Zniżka

10% zniżki

Kontekst

1000K

Maks. wyjście

128K

Vision

Obsługiwane

Użycie narzędzi

Obsługiwane

Wypróbuj Claude Opus 4.6 w WaveSpeedAI

Uzyskaj dostęp do Claude Opus 4.6 przez nasze ujednolicone API — kompatybilne z OpenAI, bez zimnych startów, przejrzyste ceny.

Otwórz Playground

Najczęstsze pytania o Claude Opus 4.6

Ile kosztuje API Claude Opus 4.6?+

Cennik na WaveSpeedAI: $4.50 za milion tokenów wejściowych i $22.50 za milion tokenów wyjściowych. Prompt caching i przetwarzanie wsadowe są rozliczane oddzielnie i obniżają efektywny koszt długich, powtarzalnych obciążeń.

Jakie jest okno kontekstu Claude Opus 4.6?+

Claude Opus 4.6 obsługuje do 1000K tokenów kontekstu i do 128K tokenów wyjściowych na zapytanie.

Czy Claude Opus 4.6 jest kompatybilny z OpenAI?+

Tak. WaveSpeedAI udostępnia Claude Opus 4.6 przez endpoint kompatybilny z OpenAI pod https://llm.wavespeed.ai/v1. Skieruj oficjalny OpenAI SDK na ten base URL ze swoim kluczem API WaveSpeedAI — bez innych zmian w kodzie.

Jak zacząć z Claude Opus 4.6?+

Zaloguj się do WaveSpeedAI, utwórz klucz API w Access Keys, a następnie wyślij żądanie na https://llm.wavespeed.ai/v1/chat/completions z id modelu pokazanym powyżej. Nowe konta otrzymują darmowe kredyty na ocenę Claude Opus 4.6.

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