Claude Sonnet 4.5

claude-sonnet-4.5-20250929
byAnthropic|Created Sep 29, 2025
Chat Completions

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model, optimized for real-world agents and coding workflows. It achieves state-of-the-art results on coding benchmarks like SWE-bench Verified, with notable improvements in system design, code security, and following specifications. Designed for extended autonomous operation, the model maintains task continuity across sessions and offers fact-based progress tracking. Sonnet 4.5 features enhanced agentic abilities, such as improved tool orchestration, speculative parallel execution, and more efficient context and memory management. With better context tracking and awareness of token usage across tool calls, it excels in multi-context and long-running workflows. Key use cases include software engineering, cybersecurity, financial analysis, research agents, and other areas requiring sustained reasoning and tool use.

Pricing

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

Input Tokens (1M)

$1.50

Output Tokens (1M)

$7.50

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 across the last 30 active days

Uptime

Reliability over the last 7 days

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-sonnet-4.5-20250929",
    messages=[
        {{"role": "user", "content": "What's 2+2?"}}
    ],
    temperature=0.2,
)
print(resp.choices[0].message.content)