anthropic/claude-opus-5
Release date: 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.
Pricing
Pay-per-use
No upfront costs, pay only for what you use
Try the model
API Usage
Use the following code examples to integrate with our 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-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;
}Model Introduction
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
Info
Supported Functionality
API Access Guide
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.
Input
$5 /M
Output
$25 /M
Context
1000K
Max Output
128K
Vision
Supported
Tool Use
Supported
Try Claude Opus 5 on WaveSpeedAI
Access Claude Opus 5 through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Frequently Asked Questions about Claude Opus 5
How much does Claude Opus 5 cost via the API?+
Pricing on WaveSpeedAI: $5.00 per million input tokens and $25.00 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
What is the context window of Claude Opus 5?+
Claude Opus 5 supports up to 1000K tokens of context with up to 128K tokens of output per request.
Is Claude Opus 5 OpenAI-compatible?+
WaveSpeedAI exposes Claude Opus 5 at https://llm.wavespeed.ai/v1 through the OpenAI-compatible Chat Completions interface. Most OpenAI SDK clients work by changing the base URL and API key; optional fields depend on the selected model.
How do I get started with Claude Opus 5?+
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with the model id shown above. Check the current model catalog for availability, capabilities, and pricing.