Claude Sonnet 5

The Claude Sonnet 5 API offers top-tier intelligence with low latency. This model excels at complex coding, visual reasoning, and agentic computer use. Integrate via GPTProto.com to leverage 200k context windows and cost-saving prompt caching.

Modalities

Context

API Usage Examples

curl --request POST "https://gptproto.com/v1/chat/completions" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "claude-sonnet-5",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'

Claude Sonnet 5 pricing

Estimate a request with real work scenarios. GPTProto token pricing is 20% below official rates.

Cost calculator

Multi-turn agent with cached context.

Input tokens$1.6 / 1M$0.0024

Output tokens$8 / 1M$0.0064

Cache write tokens$2 / 1M$0.006

Cache read tokens$0.16 / 1M$0.004

Cost per request$0.0188

Top up

GPTProto vs official pricing.

Requests

You pay

20% off

$100

You receive$100.00

Save$25.00 (20%)vs Claude official

Key Features of Claude Sonnet 5 API

Discover why the Claude Sonnet 5 API is the leading choice for developers requiring a balance of speed, high intelligence, and vision.

Elite Coding and Repo Engineering

Claude 3.5 Sonnet achieves a 49.0% score on SWE-bench, far exceeding GPT-4o. It is built for refactoring, bug fixing, and complex multi-step architecture design in any modern codebase.

Advanced Visual Reasoning Engine

This model leads vision benchmarks, accurately interpreting technical diagrams and low-quality images. Claude 3.5 Sonnet extracts data from charts and UI screenshots with elite precision.

Computer Use & Agentic Workflows

As the first frontier model to support computer use, Claude can navigate desktops and click buttons via API. This enables autonomous browser-based automation and complex agentic workflows.

Prompt Caching Cost Efficiency

Claude prompt caching reduces input costs by up to 90%. By freezing large contexts like documentation, developers lower Claude latency by 80% for repetitive, high-volume tasks.

Related Models

All Models

Model					Input → Output
Claude Sonnet 5Current		1M	$1.60 / $8.00 per 1M	$2.00 / $0.16 per 1M	Input: TextInput: Document Output: Text
Gemini 3.7 Flash		—	$0.45 / $2.25 per 1M	— / $0.04 per 1M	Input: TextInput: ImageInput: Document Output: Text
Grok 4.6		500K	$1.20 / $3.60 per 1M	— / $0.30 per 1M	Input: TextInput: Image Output: Text
Qwen3.8 Max		1M	$1.80 / $5.40 per 1M	$2.25 / $0.23 per 1M	Input: TextInput: ImageInput: VideoInput: Document Output: Text
Claude Opus 5		1M	$4.00 / $20.00 per 1M	$5.00 / $0.40 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.6 Flash		1.05M	$0.45 / $2.25 per 1M	— / $0.04 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.5 Flash Lite		1.05M	$0.18 / $1.50 per 1M	$0.02 / $0.02 per 1M	Input: TextInput: ImageInput: Document Output: Text
Kimi K3		1.05M	$2.70 / $13.50 per 1M	$0.27 / $0.27 per 1M	Input: TextInput: ImageInput: Document Output: Text
GPT 5.6 Luna		1.05M	$0.16 / $0.96 per 1M	$0.20 / $0.02 per 1M	Input: TextInput: ImageInput: Document Output: Text
GPT 5.6 Terra		1.05M	$1.60 / $9.60 per 1M	$2.00 / $0.16 per 1M	Input: TextInput: ImageInput: Document Output: Text
GPT 5.6 Sol		1.05M	$4.00 / $24.00 per 1M	$5.00 / $0.40 per 1M	Input: TextInput: ImageInput: Document Output: Text
Grok 4.5		500K	$1.20 / $3.60 per 1M	$0.30 / $0.30 per 1M	Input: TextInput: Image Output: Text
Minimax M3		1.05M	$0.48 / $0.96 per 1M	$0.10 / $0.10 per 1M	Input: TextInput: ImageInput: Document Output: Text
GLM 5.2		1.05M	$1.26 / $3.96 per 1M	$0.23 / $0.23 per 1M	Input: TextInput: ImageInput: Document Output: Text
Claude Fable 5		1M	$8.00 / $40.00 per 1M	$10.00 / $0.80 per 1M	Input: TextInput: Document Output: Text
Qwen3.7 Max		1M	$0.36 / $1.44 per 1M	$0.07 / $0.07 per 1M	Input: TextInput: Document Output: Text
Claude Opus 4.8 Thinking		1M	$4.00 / $20.00 per 1M	$5.00 / $0.40 per 1M	Input: TextInput: Document Output: Text
Claude Opus 4.8		1M	$4.00 / $20.00 per 1M	$5.00 / $0.40 per 1M	Input: TextInput: Document Output: Text
DeepSeek v4 Flash	—	1.05M	$0.14 / $0.28 per 1M	— / $0.0028 per 1M	Input: Text Output: Text
DeepSeek v4 Pro		1.05M	$1.04 / $2.09 per 1M	$0.0087 / $0.0087 per 1M	Input: Text Output: Text
Grok 4.3		1M	$0.75 / $1.50 per 1M	$0.12 / $0.12 per 1M	Input: TextInput: Image Output: Text
Kimi K2.6		262K	$0.85 / $3.60 per 1M	$0.14 / $0.14 per 1M	Input: TextInput: Document Output: Text
Claude Opus 4.7 Thinking		1M	$4.00 / $20.00 per 1M	$5.00 / $0.40 per 1M	Input: TextInput: Document Output: Text
Claude Opus 4.7		1M	$4.00 / $20.00 per 1M	$5.00 / $0.40 per 1M	Input: TextInput: Document Output: Text
GLM 5.1		205K	$1.26 / $3.96 per 1M	$0.23 / $0.23 per 1M	Input: TextInput: Document Output: Text
GLM 5 Turbo		203K	$1.08 / $3.60 per 1M	$0.22 / $0.22 per 1M	Input: TextInput: Document Output: Text
DeepSeek v3.2		164K	$0.17 / $0.25 per 1M	$0.02 / $0.02 per 1M	Input: Text Output: Text
Minimax M2.5		205K	$0.24 / $0.96 per 1M	$0.30 / $0.02 per 1M	Input: TextInput: Document Output: Text
Kimi K2.5		262K	$0.54 / $2.70 per 1M	$0.09 / $0.09 per 1M	Input: TextInput: Document Output: Text
Qwen Turbo		—	$0.04 / $0.18 per 1M	$0.009 / $0.009 per 1M	Input: Text Output: Text
Doubao Seed 1.6 Thinking 250715		262K	$0.10 / $0.97 per 1M	—	Input: TextInput: Image Output: Text
Doubao Seed 1.6 Thinking 250615		262K	$0.10 / $0.97 per 1M	—	Input: TextInput: Image Output: Text
Doubao Seed 1.6 Flash 250615		262K	$0.02 / $0.18 per 1M	—	Input: TextInput: Image Output: Text

Claude Sonnet 5 API Frequently Asked Questions

Expert answers regarding Claude Sonnet 5 API integration, pricing, performance benchmarks, and unique features like computer use.

How does the Claude Sonnet 5 API compare to Anthropic's?

Using the Claude Sonnet 5 API through GPTProto.com provides the exact same performance, latency, and pricing as the official Anthropic API. The primary advantage of our platform is the OpenAI-compatible integration layer, which simplifies multi-model workflows, provides consolidated billing, and offers automatic failover to other models if Anthropic's primary servers experience a temporary service interruption.

Is my Claude API data used for model training?

No. Privacy is a core priority for the Claude infrastructure. Any data sent via the Claude Sonnet 5 API on GPTProto.com is strictly protected. It is not utilized by Anthropic or our platform to train or fine-tune the underlying Claude models. Your proprietary code, documents, and user interactions remain private and secure, meeting the stringent requirements for enterprise and legal applications.

What is the typical latency for Claude responses?

Claude 3.5 Sonnet is engineered for low-latency performance. The typical time-to-first-token (TTFT) for a Claude response ranges between 400ms and 600ms. Once generation begins, Claude maintains a speed of approximately 60 to 80 tokens per second. For developers using Claude prompt caching, latency for repetitive tasks can be reduced by up to 80%, making Claude one of the fastest frontier models available.

How do I migrate to Claude from GPT-4o?

Transitioning is straightforward since GPTProto.com provides an OpenAI-compatible layer. You simply change your model parameter to claude-3-5-sonnet. Because Claude is exceptionally good at following system instructions, you may find that you can significantly shorten your prompts while maintaining or even improving the quality of the output compared to GPT-4o, especially in complex coding or reasoning tasks.

Does the Claude Sonnet 5 API support prompt caching?

Yes, Claude prompt caching is fully supported. This feature allows developers to 'freeze' large amounts of context—such as entire codebases, legal libraries, or long documentation—within the Claude context window. This reduces Claude input costs by up to 90% and increases response speeds. It is an ideal solution for Claude-powered agents that need to reference the same large datasets across multiple turns.

How does Claude handle real-time web searching?

Claude utilizes the latest web search tool versions, such as web_search_20260318, to access real-time information beyond its training data cutoff. Claude can write and execute code to dynamically filter search results, ensuring that only the most relevant data reaches the context window. This reduces token noise and improves the accuracy of Claude's grounded responses while providing clear citations for all sources.