Claude Opus 4.5

claude-opus-4.5-20251101
byAnthropic|Created Nov 24, 2025
Chat Completions

Claude Opus 4.5 is Anthropic’s latest reasoning model, developed for advanced software engineering, complex agent workflows, and extended computer tasks. It features strong multimodal capabilities and performs competitively on real-world coding and reasoning benchmarks, with enhanced resilience against prompt injection. Optimized for efficiency at varying effort levels, it allows developers to balance speed, depth, and token usage according to their specific needs, thanks to a new parameter for controlling token efficiency. Opus 4.5 excels in advanced tool integration, contextual management, and multi-agent coordination, making it ideal for autonomous research, debugging, complex planning, and spreadsheet or browser manipulation. Compared to previous Opus generations, it delivers significant improvements in structured reasoning, long-duration task performance, execution reliability, and alignment, all while reducing token overhead.

Pricing

Pay-as-you-go rates for this model. More details can be found here.

Input Tokens (1M)

$2.50

Cached Input Tokens (1M)

$0.25

Output Tokens (1M)

$12.50

Capabilities

Input Modalities

Text
Image
File

Output Modalities

Text

Supported Parameters

Available parameters for API requests

Frequency Penalty
Logit Bias
Max Completion Tokens
Presence Penalty
Reasoning Effort
Response Format
Stop
Temperature
Tool Choice
Tools
Top P

Usage Analytics

Token usage of this model on our platform

Throughput

Time-To-First-Token (TTFT)

Code Example

Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.

Basic request example. Ensure API key permissions. For more details, see our documentation.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.naga.ac/v1",
    api_key="YOUR_API_KEY",
)

resp = client.chat.completions.create(
    model="claude-opus-4.5-20251101",
    messages=[
        {{"role": "user", "content": "What's 2+2?"}}
    ],
    temperature=0.2,
)
print(resp.choices[0].message.content)