anthropic/claude-opus-5
प्रकाशन तिथि: 2026-07-25
1,000,000 context · $5.00/M input tokens · $25.00/M output tokens
Claude Opus 5 is Anthropic's flagship Claude model for advanced coding, deep reasoning, and high-performance agent workflows. It delivers major gains over earlier Opus releases in long-horizon tasks, tool use, and professional knowledge work, and is especially well suited for complex software engineering, research, and multi-step autonomous execution. WaveSpeed AI exposes anthropic/claude-opus-5 through an OpenAI-compatible API, so it can be used with standard OpenAI SDKs and existing chat-completions-based application flows.
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-5',
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-5',
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 5
Claude Opus 5 is Anthropic's flagship Claude model for advanced coding, deep reasoning, and high-performance agent workflows. Anthropic positions it for complex agentic coding and enterprise work, with strong performance on long-horizon tasks, professional knowledge work, and multi-step autonomous execution. WaveSpeed AI exposes anthropic/claude-opus-5 through an OpenAI-compatible API, so it can be used with standard OpenAI SDKs and existing chat-completions-based application flows.
Why Use Claude Opus 5
- Flagship Claude model for advanced coding and deep reasoning
- Strong fit for long-horizon agent workflows and enterprise tasks
- Well suited for complex software engineering, research, and multi-step execution
- Supports very long-context workloads such as large document analysis and extended multi-turn sessions
- Works well for tool-using applications and structured workflow orchestration
Key Features
- Context Window: 1,000,000 tokens
- Max Output: 128,000 tokens
- Vision Input: Supported
- Function Calling: Supported
- Structured Outputs: Supported
- Adaptive Thinking: Enabled
- Best Fit: coding, deep reasoning, agents, enterprise knowledge work, long-context tasks
Specifications
| Specification | Value |
|---|---|
| Provider | Anthropic |
| Model ID | anthropic/claude-opus-5 |
| API Model Name | claude-opus-5 |
| Model Family | Claude Opus 5 |
| Positioning | Flagship model |
| Context Window | 1,000,000 tokens |
| Max Output | 128,000 tokens |
| Vision | Supported |
| Function Calling | Supported |
| Structured Outputs | Supported |
| Recommended Workloads | complex coding, deep reasoning, agent workflows, enterprise tasks, long-context analysis |
Platform Notes
Claude Opus 5 is positioned for demanding agentic and enterprise workflows, including advanced coding, long-running tool use, and deep reasoning across large contexts. It is a strong fit for scenarios where answer quality, persistence, and long-horizon task execution matter more than low latency.
How to Use
Chat Completions
Use Chat Completions when you want a straightforward OpenAI-compatible integration path for conversational, coding, and agent workflows.
Python
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-5",
messages=[
{"role": "user", "content": "Review this migration plan and identify the highest-risk step."}
]
)
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-5",
"messages": [
{"role": "user", "content": "Review this migration plan and identify the highest-risk step."}
]
}'Recommended Use Cases
Claude Opus 5 is a strong fit for:
- multi-step coding and debugging
- long-running agents with tools
- research and professional analysis
- large-context document and repository review
- enterprise workflows that require strong reasoning quality over long sessions
Notes
- Official Anthropic API model name is
claude-opus-5 - Claude Opus 5 is positioned as Anthropic's flagship model for complex coding and enterprise reasoning workloads
- Best paired with tasks that benefit from long context, strong reasoning depth, and reliable multi-step execution
जानकारी
समर्थित कार्यक्षमता
API एक्सेस गाइड
Claude Opus 5 API
anthropic/claude-opus-5
Claude Opus 5 is Anthropic's flagship Claude model for advanced coding, deep reasoning, and high-performance agent workflows. It delivers major gains over earlier Opus releases in long-horizon tasks, tool use, and professional knowledge work, and is especially well suited for complex software engineering, research, and multi-step autonomous execution. WaveSpeed AI exposes `anthropic/claude-opus-5` through an OpenAI-compatible API, so it can be used with standard OpenAI SDKs and existing chat-completions-based application flows.
इनपुट
$5 /M
आउटपुट
$25 /M
कॉन्टेक्स्ट
1000K
अधिकतम आउटपुट
128K
विज़न
समर्थित
टूल उपयोग
समर्थित
WaveSpeedAI पर Claude Opus 5 आज़माएं
हमारे एकीकृत API के ज़रिए Claude Opus 5 तक पहुंचें — OpenAI-कम्पैटिबल, कोई कोल्ड स्टार्ट नहीं, पारदर्शी मूल्य निर्धारण।
Claude Opus 5 के बारे में अक्सर पूछे जाने वाले सवाल
API के ज़रिए Claude Opus 5 की लागत कितनी है?+
WaveSpeedAI पर मूल्य निर्धारण: प्रति मिलियन इनपुट टोकन $5.00 और प्रति मिलियन आउटपुट टोकन $25.00। प्रॉम्प्ट कैशिंग और बैच प्रोसेसिंग की बिलिंग अलग से होती है और लंबे, दोहराव वाले वर्कलोड पर प्रभावी लागत कम करती है।
Claude Opus 5 की कॉन्टेक्स्ट विंडो क्या है?+
Claude Opus 5 प्रति अनुरोध 128K टोकन तक के आउटपुट के साथ 1000K टोकन तक के कॉन्टेक्स्ट को सपोर्ट करता है।
क्या Claude Opus 5 OpenAI-कम्पैटिबल है?+
WaveSpeedAI Claude Opus 5 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 5 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।