anthropic/claude-opus-4.8
Tanggal rilis: 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.
Harga
Bayar sesuai pemakaian
Tanpa biaya di muka, bayar hanya sesuai penggunaan
Coba model
Penggunaan API
Gunakan contoh kode berikut untuk integrasi dengan API kami:
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;
}Pengenalan Model
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
Fitur yang Didukung
Panduan Akses 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.
Input
$5$4.75 /M
Output
$25$23.75 /M
Diskon
Diskon 5%
Konteks
1000K
Output Maks.
128K
Vision
Didukung
Penggunaan Tool
Didukung
Coba Claude Opus 4.8 di WaveSpeedAI
Akses Claude Opus 4.8 melalui API terpadu kami — kompatibel dengan OpenAI, tanpa cold start, harga transparan.
Pertanyaan Umum tentang Claude Opus 4.8
Berapa biaya Claude Opus 4.8 melalui API?+
Harga di WaveSpeedAI: $4.75 per juta token input dan $23.75 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.
Berapa context window Claude Opus 4.8?+
Claude Opus 4.8 mendukung hingga 1000K token konteks dengan hingga 128K token output per permintaan.
Apakah Claude Opus 4.8 kompatibel dengan OpenAI?+
WaveSpeedAI menyediakan Claude Opus 4.8 di https://llm.wavespeed.ai/v1 melalui antarmuka Chat Completions yang kompatibel dengan OpenAI. Sebagian besar klien OpenAI SDK cukup mengganti base URL dan API key; field opsional bergantung pada model.
Bagaimana memulai dengan Claude Opus 4.8?+
Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id yang ditampilkan di atas. Lihat katalog model terbaru untuk ketersediaan, kemampuan, dan harga.