Claude Opus 4

Excels at deep reasoning, complex coding, and autonomous agent workflows with sustained performance, extended thinking, tool use, and memory across tasks.

Try Claude Opus 4 in the Workbench

Run this model interactively, tune parameters, and compare outputs.

Model ID: claude-opus-4-20250514

Claude Opus 4 is a Multimodal LLM designed for reasoning-heavy tasks and complex coding workflows. It excels in sustained performance on long-running tasks that require focused effort and thousands of steps, including agentic search, large-scale code refactoring, and multi-step problem solving.

Some other noteworthy features of Claude Opus 4 include “extended thinking” mode for more deliberate reasoning, tool use capabilities, and memory tracking across complex workflows.

Metric	Value
Parameter Count	Unknown
Mixture of Experts	Unknown
Context Length	200,000 tokens input, 32,000 tokens output
Multilingual	Unknown
Quantized*	Unknown

*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.

Example request

Use the Workbench as a request builder: configure parameters for this model in the UI, then open the API tab to copy the exact cURL or Python call.

Minimal

cURL

curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "claude-opus-4-20250514",
  "messages": [
    {
      "role": "user",
      "content": "Hello, what can you do?"
    }
  ]
}'

import os
import requests

response = requests.post(
    "https://hub.oxen.ai/api/ai/chat/completions",
    headers={
        "Content-Type": "application/json",
        "Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
    },
    json={
        "model": "claude-opus-4-20250514",
        "messages": [
            {
                "role": "user",
                "content": "Hello, what can you do?"
            }
        ]
    },
)
response.raise_for_status()
print(response.json())

Basic parameters

cURL

curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "claude-opus-4-20250514",
  "messages": [
    {
      "role": "user",
      "content": "Hello, what can you do?"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 1024,
  "stream": false
}'

import os
import requests

response = requests.post(
    "https://hub.oxen.ai/api/ai/chat/completions",
    headers={
        "Content-Type": "application/json",
        "Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
    },
    json={
        "model": "claude-opus-4-20250514",
        "messages": [
            {
                "role": "user",
                "content": "Hello, what can you do?"
            }
        ],
        "temperature": 0.7,
        "max_tokens": 1024,
        "stream": false
    },
)
response.raise_for_status()
print(response.json())

Fetch model details

The models endpoint returns the full model object, including its json_request_schema.

curl -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/ai/models/claude-opus-4-20250514

Request parameters

This model follows the standard OpenAI chat completions request body. See the chat completions reference for the full parameter list.