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.
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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)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.
| 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 |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $5.0 |
| Output | $25.0 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: anthropic/claude-opus-4.6
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 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!"}]
}'
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
Uzyskaj dostęp do Claude Opus 4.6 przez nasze ujednolicone API — kompatybilne z OpenAI, bez zimnych startów, przejrzyste ceny.
Otwórz PlaygroundCennik 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.
Claude Opus 4.6 obsługuje do 1000K tokenów kontekstu i do 128K tokenów wyjściowych na zapytanie.
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.
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.