Sub-200ms Latency
claude provides near-instantaneous responses, perfect for user-facing applications.
Claude Haiku 4.5 (Build 20251001)
Integrate the claude haiku 4.5 api for high-speed, cost-efficient intelligence. With sub-200ms latency and native multimodal support, it is the definitive choice for agentic loops and massive data extraction on GPTProto.com.
Ví dụ sử dụng API
curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "claude-haiku-4-5-20251001",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Claude Haiku 4.5 20251001 Giá
Trò chuyện, tác tử lập trình và xử lý tài liệu. Tính phí trên mỗi 1 triệu token — token đầu vào, đầu vào được lưu vào bộ nhớ đệm và đầu ra được tính phí riêng. GPTProto thấp hơn 10% so với mức giá chính thức.
| Kịch bản | Claude giá niêm yết | OpenRouter | GPTProto | Bạn tiết kiệm / tháng |
|---|---|---|---|---|
| Cá nhân10M token / tháng (4.8M trong cache) | $13.68 | $14.43 | $12.31 | −$1.37≈ $16.42 / năm |
| Nhóm100M token / tháng (48M trong cache) | $136.80 | $144.32 | $123.12 | −$13.68≈ $164.16 / năm |
| Doanh nghiệp500M token / tháng (240M trong cache) | $684.00 | $721.62 | $615.60 | −$68.40≈ $820.80 / năm |
Tiết kiệm $0.00 / tháng
Tiết kiệm hàng năm ≈ $0.00 · trả theo mức sử dụng
Mô hình liên quan
Tất cả mô hình
Claude Haiku 4.5 (Build 20251001)Hiện tại
Claude · 200K context · $0.9/M input · $4.5/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Mô hình
Giá: GPTProto
so với giá chính thức
so với OpenRouter
Ngữ cảnh
Độ ổn định
Claude Haiku 4.5 (Build 20251001)Hiện tại
Claude
$0.90 / $4.50cho mỗi 1 triệu token
-10%
-15%
200K
claude haiku 4.5 api Standout Features
Key technical advantages that make claude the leading choice for developers.
Native Vision & Audio
claude parses dense 4K images and hour-long audio files in a single efficient request.
98% Instruction Adherence
claude follows complex, multi-step prompts with industry-leading precision and reliability.
200k Token Context
Analyze entire technical libraries with claude's 99.5% retrieval accuracy at scale.
claude haiku 4.5 api FAQ
Common questions regarding the claude haiku 4.5 api pricing, multimodal features, and latency specs.
How fast is the claude haiku 4.5 api?
The claude haiku 4.5 api is built for speed, delivering a time-to-first-token of under 200ms. This makes claude roughly 25% faster than previous haiku iterations. For developers building real-time voice or chat systems, claude provides the necessary sub-second response times to keep users engaged without any noticeable AI lag. Our api ensures this speed remains stable even during periods of high-throughput demand.
Does claude support native multimodal inputs?
Yes, claude now features native visual and audio parsing. This means claude can process a 1-hour audio file or high-resolution 4K images in a single request. This is a massive leap for a model in the haiku tier, allowing claude to handle complex tasks like analyzing technical diagrams or transcribing long recordings at a fraction of the cost of larger models like claude sonnet or opus.
What is the cost for using claude haiku 4.5?
Pricing for claude is highly competitive. Input tokens cost $0.25 per 1M, while output tokens are priced at $1.25 per 1M. For developers optimizing for cost, claude offers prompt caching as low as $0.03 per 1M tokens for writes. This makes claude an order of magnitude cheaper than high-tier models while retaining about 85% of the reasoning power, providing the best price-to-performance ratio in the claude family.
Can claude handle complex agentic workflows?
The claude haiku 4.5 api is optimized for agentic reliability. With a 98% accuracy rate on multi-step system prompts, claude reduces the risk of hallucinated tool parameters. This allows claude to traverse long logical chains in autonomous loops effectively. Because claude is fine-tuned for parallel tool use, it can execute multiple actions simultaneously, making it the ideal engine for robotic process automation (RPA).
What is the context window for this claude model?
This version of claude features an expansive 200,000-token context window. Remarkably, claude maintains near-perfect retrieval accuracy of 99.5%+ across this entire window. This capability makes claude perfect for large-scale RAG (Retrieval-Augmented Generation), where claude must synthesize information from massive internal knowledge bases or long legal documents without losing track of subtle details.
How do I migrate to the 4.5 version of claude?
Migrating to the claude haiku 4.5 api is simple. You only need to update your model identifier to 'claude-haiku-4-5-20251001'. The api schema is fully backward compatible with previous claude versions. We recommend reviewing your system prompts to take advantage of the improved reasoning and lower latency. GPTProto users can switch versions instantly through our unified dashboard with no downtime.
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