anthropic/claude-opus-4.8
Data publikacji: 2026-05-28
1,000,000 context · $5.00/M input$4.75/M input · $25.00/M output$23.75/M output5% off
Claude Opus 4.8 is Anthropic’s most capable generally available Opus model, built for complex reasoning, long-horizon agentic coding, and high-autonomy professional workflows. It supports text, image, and file inputs with text output, a 1M-token context window, up to 128K output tokens, adaptive thinking, tool use, and structured outputs. It is especially strong for advanced coding, browser and computer-use agents, enterprise knowledge work, financial and legal analysis, and multi-step tasks that require sustained judgment and reliability.
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Użycie API
Użyj poniższych przykładów kodu, aby zintegrować się z naszym API:
import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'anthropic/claude-opus-4.8',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'anthropic/claude-opus-4.8',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}Wprowadzenie do modelu
Anthropic: Claude Opus 4.8
Claude Opus 4.8 is Anthropic’s most capable generally available Opus model, built for complex reasoning, long-horizon agentic coding, and high-autonomy professional workflows. It supports text, image, and file inputs with text output, adaptive thinking, tool use, and a 1M-token context window.
Why It Looks Great
- Anthropic’s most capable generally available Opus model
- 1M-token context window for large codebases, long documents, and extended multi-turn workflows
- Up to 128K output tokens for long-form reasoning, coding, analysis, and structured generation
- Strong fit for professional software engineering, complex agentic workflows, and enterprise knowledge work
- Improved long-horizon coding reliability, tool triggering, and long-context quality
- Adaptive thinking support for balancing speed, cost, and reasoning depth
- Vision and file input support for screenshots, diagrams, PDFs, documents, and multimodal analysis
- Function calling and tool-use support for agentic application workflows
- Structured output support for JSON responses and schema-constrained generation
Key Features
- Context Window: 1,000,000 tokens
- Max Input: 872,000 tokens
- Max Output: 128,000 tokens
- Input: Text, Image, File
- Output: Text
- Vision: Supported
- File Input: Supported
- Function Calling: Supported
- Structured Outputs: Supported
- Adaptive Thinking: Supported
- Image Generation: Not listed
- Audio Input: Not listed
- Supported Parameters: include_reasoning, max_tokens, reasoning, response_format, stop, structured_outputs, tool_choice, tools, verbosity
Specifications
| Specification | Value |
|---|---|
| Provider | anthropic |
| Model Type | Chat Completions model |
| Architecture | text+image+file->text |
| Context Window | 1,000,000 tokens |
| Max Input | 872,000 tokens |
| Max Output | 128,000 tokens |
| Input | Text, Image, File |
| Output | Text |
| Vision | Supported |
| File Input | Supported |
| Function Calling | Supported |
| Structured Outputs | Supported |
| Adaptive Thinking | Supported |
| Release | May 28, 2026 |
How to Use
- Write your prompt - describe the task, provide context, and specify the desired output format.
- 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-4.8
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-4.8",
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-4.8",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: anthropic/claude-opus-4.8
- Provider: anthropic
- Best suited for long-horizon coding, complex reasoning, enterprise knowledge work, legal and financial analysis, browser/computer-use agents, and high-autonomy tool workflows
Info
Obsługiwane funkcje
Przewodnik dostępu do API
Claude Opus 4.8 API
anthropic/claude-opus-4.8
Claude Opus 4.8 is Anthropic’s most capable generally available Opus model, built for complex reasoning, long-horizon agentic coding, and high-autonomy professional workflows. It supports text, image, and file inputs with text output, a 1M-token context window, up to 128K output tokens, adaptive thinking, tool use, and structured outputs. It is especially strong for advanced coding, browser and computer-use agents, enterprise knowledge work, financial and legal analysis, and multi-step tasks that require sustained judgment and reliability.
Wejście
$5$4.75 /M
Wyjście
$25$23.75 /M
Zniżka
5% zniżki
Kontekst
1000K
Maks. wyjście
128K
Vision
Obsługiwane
Użycie narzędzi
Obsługiwane
Wypróbuj Claude Opus 4.8 w WaveSpeedAI
Uzyskaj dostęp do Claude Opus 4.8 przez nasze ujednolicone API — kompatybilne z OpenAI, bez zimnych startów, przejrzyste ceny.
Najczęstsze pytania o Claude Opus 4.8
Ile kosztuje API Claude Opus 4.8?+
Cennik na WaveSpeedAI: $4.75 za milion tokenów wejściowych i $23.75 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 4.8?+
Claude Opus 4.8 obsługuje do 1000K tokenów kontekstu i do 128K tokenów wyjściowych na zapytanie.
Czy Claude Opus 4.8 jest kompatybilny z OpenAI?+
WaveSpeedAI udostępnia Claude Opus 4.8 pod adresem https://llm.wavespeed.ai/v1 przez interfejs Chat Completions zgodny z OpenAI. W większości klientów OpenAI SDK wystarczy zmienić base URL i klucz API; opcjonalne pola zależą od modelu.
Jak zacząć z Claude Opus 4.8?+
Zaloguj się do WaveSpeedAI, utwórz klucz API w Access Keys i wyślij żądanie do https://llm.wavespeed.ai/v1/chat/completions z identyfikatorem modelu pokazanym powyżej. Bieżącą dostępność, możliwości i ceny sprawdź w katalogu modeli.