Sub-200ms Latency AI
Engineered for speed, this AI delivers a near-instant response even under heavy load.
Claude Haiku 4.5 (Build 20251001)
The AI Claude Haiku 4.5 is Anthropic’s fastest multimodal model. Optimized for 200k context and sub-200ms latency, it handles high-throughput agentic tasks with precision. Access the 4.5 version via GPTProto.com for elite performance.
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-haiku-4-5-20251001",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Claude Haiku 4.5 20251001 pricing
Estimate a request with real work scenarios. GPTProto token pricing is 10% below official rates.
UsageQuantityRateCost
tokens
$0.9/1M$0.0013tokens
$4.5/1M$0.0036tokens
$1.125/1M$0.0033tokens
$0.09/1M$0.0022Cost per request$0.0105
Requests
Top-up amount
Top-up $100 and you get:
1. Top-up credits with permanent validity. You will receive a total of $100.00.
2. Additional 10% model discount, saving $11.108 versus direct official Claude API calls.
Related Models
All Models| Model | Input → Output | ||||
|---|---|---|---|---|---|
 | 200K | $0.90 / $4.50 per 1M | $1.13 / $0.09 per 1M | Input: TextInput: Document Output: Text | |
| — | — | $0.15 / $0.50 per 1M | — / $0.03 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | |
| — | — | $0.44 / $1.32 per 1M | — / $0.01 per 1M | Input: TextInput: Image Output: Text | |
| 1.05M | $1.26 / $3.96 per 1M | — / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.45 / $2.25 per 1M | — / $0.04 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 | $0.45 / $2.25 per 1M | — / $0.04 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.18 / $1.50 per 1M | $0.02 / $0.02 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 | ||
| 1.05M | $4.00 / $24.00 per 1M | $5.00 / $0.40 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 | $0.44 / $1.32 per 1M | — / $0.01 per 1M | Input: Text Output: Text | |
| — | 1.05M | $1.32 / $3.96 per 1M | — / $0.04 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 | ||
| 1M | $4.50 / $22.50 per 1M | $5.63 / $0.45 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 | ||
| — | $0.04 / $0.18 per 1M | $0.009 / $0.009 per 1M | Input: Text 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 Features of AI Claude Haiku 4.5
Explore why developers choose AI Claude Haiku 4.5. It combines 200k context recall with native multimodal parsing and superior instruction adherence for complex agents.
200k Context AI
Massive context window with 99.5% retrieval accuracy for large document processing.
Multimodal AI Parsing
Natively handles audio and 4K images, bringing visual intelligence to the 4.5 family.
Agentic AI Efficiency
Fine-tuned to reduce hallucinated tool parameters in complex, multi-step logical chains.
AI Claude Haiku 4.5 FAQ & Integration Guide
Find answers about AI Claude Haiku 4.5 performance, pricing, and how to integrate this ultra-fast model into your production workflows via GPTProto.com.
What is the latency of the AI Claude Haiku 4.5?
The AI Claude Haiku 4.5 is engineered for sub-second responses. In high-concurrency environments, this AI delivers a Time-To-First-Token (TTFT) of under 200ms. This makes it roughly 25% faster than previous iterations, ensuring that users of this AI experience near-instantaneous feedback in chat and voice applications.
Does this AI support multimodal inputs like audio?
Yes, the AI Claude Haiku 4.5 features native multimodal support. This AI can process and analyze both image and audio files directly. Specifically, this AI is capable of parsing dense 4K images or a full hour of audio in one request, allowing developers to build sophisticated AI tools for media analysis and transcription.
What is the context window for AI Claude Haiku 4.5?
This AI supports a massive 200,000-token context window. This large capacity allows the AI to ingest long documents, entire codebases, or complex datasets while maintaining a near-perfect retrieval rate of 99.5%. It is specifically optimized for Retrieval-Augmented Generation (RAG) at a global scale.
How much does the AI Claude Haiku 4.5 cost to use?
The AI Claude Haiku 4.5 is highly cost-efficient. Pricing for this AI is set at $0.25 per 1M input tokens and $1.25 per 1M output tokens. Additionally, this AI supports prompt caching at $0.03 per 1M tokens for writes and $0.22 for reads, significantly lowering costs for repetitive AI tasks.
Is data sent to this AI used for training?
No. When you access the AI Claude Haiku 4.5 via our API, your data is protected. By default, any information sent to this AI is not used for model training purposes. This ensures that your proprietary data and user interactions remain private and secure while utilizing the 4.5 model capabilities.
How do I migrate to AI Claude Haiku 4.5?
Migration is straightforward. Simply update your model identifier to 'claude-haiku-4-5-20251001' in your API calls. The AI schema remains backward compatible with previous Claude versions, though we recommend testing your system prompts to take full advantage of the improved reasoning and tool-calling accuracy in this AI.
Related Articles
Guides, comparisons, and updates related to this model.
All Articles
14 Essential Claude Code CLI Commands Every Developer Should Master
Master 14 Claude Code CLI commands for developers. Learn interactive sessions, automation, project setup, and workflow integration to boost coding productivity.
Claude AI Coding: Developer Guide
Master Claude AI coding to accelerate development, manage token costs, and build advanced workflows. Discover how to scale your infrastructure today!
Model Context Protocol: A New Standard for AI Integration
What is Model Context Protocol (MCP)? Discover the open standard that enables AI to seamlessly connect with data sources and external tools.
Vertical AI Agents: Unlocking Efficiency, Automation, and Scale
Discover how vertical AI agents are transforming industries by boosting efficiency and automating workflows with GPT Proto.