anthropic/claude-opus-4.6
प्रकाशन तिथि: 2026-02-04
1,000,000 context · $5.00/M input$4.75/M input · $25.00/M output$23.75/M output5% 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.
मूल्य निर्धारण
उपयोग के अनुसार भुगतान
कोई अग्रिम लागत नहीं, केवल उतना ही भुगतान करें जितना आप उपयोग करते हैं
मॉडल आज़माएं
API उपयोग
हमारे API के साथ एकीकृत करने के लिए निम्नलिखित कोड उदाहरणों का उपयोग करें:
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-4.6',
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-4.6',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}मॉडल परिचय
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
| 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 |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $5.0 |
| Output | $25.0 |
How to Use
- Write your prompt — describe the task, provide context, and specify 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-4.6
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
जानकारी
समर्थित कार्यक्षमता
API एक्सेस गाइड
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.
इनपुट
$5$4.75 /M
आउटपुट
$25$23.75 /M
छूट
5% छूट
कॉन्टेक्स्ट
1000K
अधिकतम आउटपुट
128K
विज़न
समर्थित
टूल उपयोग
समर्थित
WaveSpeedAI पर Claude Opus 4.6 आज़माएं
हमारे एकीकृत API के ज़रिए Claude Opus 4.6 तक पहुंचें — OpenAI-कम्पैटिबल, कोई कोल्ड स्टार्ट नहीं, पारदर्शी मूल्य निर्धारण।
Claude Opus 4.6 के बारे में अक्सर पूछे जाने वाले सवाल
API के ज़रिए Claude Opus 4.6 की लागत कितनी है?+
WaveSpeedAI पर मूल्य निर्धारण: प्रति मिलियन इनपुट टोकन $4.75 और प्रति मिलियन आउटपुट टोकन $23.75। प्रॉम्प्ट कैशिंग और बैच प्रोसेसिंग की बिलिंग अलग से होती है और लंबे, दोहराव वाले वर्कलोड पर प्रभावी लागत कम करती है।
Claude Opus 4.6 की कॉन्टेक्स्ट विंडो क्या है?+
Claude Opus 4.6 प्रति अनुरोध 128K टोकन तक के आउटपुट के साथ 1000K टोकन तक के कॉन्टेक्स्ट को सपोर्ट करता है।
क्या Claude Opus 4.6 OpenAI-कम्पैटिबल है?+
WaveSpeedAI Claude Opus 4.6 को https://llm.wavespeed.ai/v1 पर OpenAI-कम्पैटिबल Chat Completions इंटरफ़ेस के ज़रिए उपलब्ध कराता है। अधिकांश OpenAI SDK क्लाइंट बेस URL और API कुंजी बदलकर काम करते हैं; वैकल्पिक फ़ील्ड चयनित मॉडल पर निर्भर करते हैं।
मैं Claude Opus 4.6 के साथ कैसे शुरू करूं?+
WaveSpeedAI में साइन इन करें, Access Keys में एक API कुंजी बनाएं, फिर ऊपर दिखाए गए मॉडल id के साथ https://llm.wavespeed.ai/v1/chat/completions पर एक अनुरोध भेजें। उपलब्धता, क्षमताओं और मूल्य निर्धारण के लिए वर्तमान मॉडल कैटलॉग देखें।