Frontier-Grade Coding
Claude hits 92.4% on HumanEval, excelling at multi-file refactors and logic error detection in complex codebases.
Claude Sonnet 4.5 (Build 20250929)
Claude Sonnet 4.5 API provides frontier intelligence at scale. This claude model offers a 200k context window, 92.4% HumanEval score, and reliable tool calling, making it the premier choice for developers using the sonnet 4.5 api via GPTProto.
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-4-5-20250929",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Claude Sonnet 4.5 20250929 pricing
Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 10% below official rates.
Your usage
Claude · ≈ 148M tokens/mo (48M cached)
OpenRouter
List + 5.5% credit fee
$432.97
per month
Input (non-cached)$101.28
Cache read$15.1919
Output$316.50
Claude
Direct from Claude (list price)
$410.40
per month
Input (non-cached)$96
Cache read$14.4
Output$300
BEST VALUE
GPTProto
10% off official
$369.36
per month
After discount$369.36
Effective$369.36
Monthly cost by source
OpenRouter
$432.97
Claude
$410.40
GPTProto
$369.36
Save $41.04 / month
on GPTProto vs Claude (−10%)
Annual savings ≈ $492.48 · pay as you go
OpenRouter costs include its ~5.5% credit purchase fee. GPTProto applies a per-model discount (10–30% off) and your bonus credits are also spent at discounted rates — savings compound. Estimates assume a 60% cache hit rate.
Related Models
All Models
| Model | Input → Output | ||||
|---|---|---|---|---|---|
| 1M | $2.70 / $13.50 per 1M | $3.38 / $0.27 per 1M | Input: TextInput: Document Output: Text | |
| — | — | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: TextInput: Image Output: Text | |
| 1.05M | $0.79 / $2.38 per 1M | — / $0.04 per 1M | Input: Text Output: Text | ||
| 1.05M | $8.00 / $40.00 per 1M | $10.00 / $0.80 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text | ||
| 1M | $9.00 / $45.00 per 1M | $11.25 / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1M | $1.80 / $5.40 per 1M | $2.25 / $0.23 per 1M | Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text | ||
| — | 1.31M | $0.15 / $0.50 per 1M | — / $0.03 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | |
| — | 1.05M | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: TextInput: Image Output: Text | |
| 1.31M | $1.26 / $3.96 per 1M | — / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | — / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.80 / $5.40 per 1M | $2.25 / $0.23 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | ||
| 1M | $4.50 / $22.50 per 1M | $5.63 / $0.45 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $2.70 / $13.50 per 1M | $0.27 / $0.27 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.16 / $0.96 per 1M | $0.20 / $0.02 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $1.60 / $9.60 per 1M | $2.00 / $0.16 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | $0.30 / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.80 / $9.00 per 1M | $2.25 / $0.18 per 1M | Input: TextInput: Document Output: Text | ||
| 1.05M | $0.48 / $0.96 per 1M | $0.10 / $0.10 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $1.26 / $3.96 per 1M | $0.23 / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1M | $9.00 / $45.00 per 1M | $11.25 / $0.90 per 1M | Input: TextInput: Document Output: Text | ||
| 1M | $0.36 / $1.44 per 1M | $0.07 / $0.07 per 1M | Input: TextInput: Document Output: Text | ||
| 1M | $4.50 / $22.50 per 1M | $5.63 / $0.45 per 1M | Input: TextInput: Document Output: Text | ||
| 1M | $4.50 / $22.50 per 1M | $5.63 / $0.45 per 1M | Input: TextInput: Document Output: Text | ||
| — | 1.05M | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: Text Output: Text | |
| 1M | $0.75 / $1.50 per 1M | $0.12 / $0.12 per 1M | Input: TextInput: Image Output: Text | ||
| 262K | $0.85 / $3.60 per 1M | $0.14 / $0.14 per 1M | Input: TextInput: Document Output: Text | ||
| 205K | $0.24 / $0.96 per 1M | $0.30 / $0.02 per 1M | Input: TextInput: Document Output: Text | ||
| 262K | $0.54 / $2.70 per 1M | $0.09 / $0.09 per 1M | Input: TextInput: Document Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.02 / $0.18 per 1M | — | Input: TextInput: Image Output: Text |
Core Claude Sonnet 4.5 API Features
Standout capabilities that define the claude 4.5 experience for enterprise-grade applications.
Reliable Tool Invocation
Optimized for agentic workflows with a sub-1% syntax failure rate for autonomous claude execution and tool use.
High-Fidelity RAG
Maintain 99.8% recall accuracy across a massive 200k context window with this claude 4.5 model and api.
Advanced Visual Reasoning
Extract structured data from charts and blueprints with industry-leading OCR via the claude sonnet 4.5 api.
Claude Sonnet 4.5 API Common Questions
Expert answers regarding the claude sonnet 4.5 api integration, pricing, and performance metrics for professional developers.
How do I migrate to the Claude Sonnet 4.5 API?
Transitioning is straightforward. Simply update your model parameter to claude-sonnet-4-5-20250929 in your requests. This claude version is backwards compatible with existing sonnet 3.5 prompt formats and system message behaviors, requiring minimal code changes. Using the api via GPTProto allows you to test this latest iteration instantly through our unified endpoint.
Is data sent to the Claude API used for training?
No. Data privacy is a core pillar of the GPTProto and Anthropic partnership. Any data passed through the claude sonnet 4.5 api is not used to train foundation models. Many features are also ZDR-eligible, ensuring your proprietary code and sensitive documents remain private and secure according to strict enterprise standards.
What is the Claude 4.5 Sonnet context window?
This claude model features a standard 200k token context window. In 'Needle In A Haystack' benchmarks, it maintains a 99.8% recall accuracy rate, making it exceptionally reliable for analyzing long-form documents or large codebases. The sonnet 4.5 api also supports prompt caching, which can reduce costs by up to 90% for repetitive long-context blocks.
How does Claude Sonnet 4.5 handle coding tasks?
Claude is a leader in coding proficiency, achieving 92.4% on HumanEval. It is specifically optimized for complex software engineering, such as refactoring across multiple files and fixing race conditions in async code. Developers using the sonnet 4.5 api find it significantly more capable than previous iterations at following multi-part negative constraints.
What are the Claude Sonnet 4.5 API pricing tiers?
Pricing for this claude model is set at $3.00 per 1M input tokens and $15.00 per 1M output tokens. Prompt caching is also available at $3.75 per 1M tokens for writes and $0.30 for reads. This makes the sonnet 4.5 api roughly five times more affordable than the Opus tier while maintaining near-flagship performance levels for most business use cases.
Does the Claude API support visual reasoning?
Yes, claude includes native multimodal support. It can interpret financial charts, architectural blueprints, and complex UI mockups with high OCR accuracy. The sonnet 4.5 api is particularly effective at extracting structured data from these visual assets and converting them into validated JSON schemas for automated data processing pipelines.
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