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.
Оплата по факту использования
Никаких авансовых платежей — платите только за то, чем пользуетесь
Используйте следующие примеры кода для интеграции с нашим 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.
Ввод
$5$4.50 /M
Вывод
$25$22.50 /M
Скидка
Скидка 10%
Контекст
1000K
Макс. вывод
128K
Vision
Поддерживается
Использование инструментов
Поддерживается
Доступ к Claude Opus 4.6 через наш единый API — совместимость с OpenAI, без холодных стартов, прозрачные цены.
Открыть PlaygroundЦены на WaveSpeedAI: $4.50 за миллион входных токенов и $22.50 за миллион выходных токенов. Prompt caching и batch processing тарифицируются отдельно и снижают эффективную стоимость длинных повторяющихся нагрузок.
Claude Opus 4.6 поддерживает до 1000K токенов контекста и до 128K токенов вывода на запрос.
Да. WaveSpeedAI предоставляет Claude Opus 4.6 через OpenAI-совместимый endpoint по адресу https://llm.wavespeed.ai/v1. Направьте официальный OpenAI SDK на этот base URL с ключом API WaveSpeedAI — других изменений в коде не требуется.
Войдите в WaveSpeedAI, создайте API-ключ в Access Keys и отправьте запрос на https://llm.wavespeed.ai/v1/chat/completions с указанным выше model id. Новые аккаунты получают бесплатные кредиты для оценки Claude Opus 4.6.