Sub-Second Response Latency
Optimized inference paths deliver the first token in under 200ms for ultra-responsive applications.
Hailuo 02 Fast
hailuo 02 video (MiniMax-02-fast) is a high-throughput multimodal model delivering sub-200ms latency. Optimized for bilingual visual reasoning, it handles dense OCR and tool-use at scale, outperforming many mini models in speed and efficiency.
API Usage Examples
curl --request POST "https://gptproto.com/api/v3/minimax/hailuo-02-fast/image-to-video" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
"image": "",
"duration": 6,
"enable_prompt_expansion": true,
"go_fast": true
}'Hailuo 02 Fast pricing
Start from the cost of a single sample and pick a testing budget. GPTProto rates are 10% below list price.
Your usage
$0.09 / image
Related Models
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| Model | Resolution | Input → Output | ||
|---|---|---|---|---|
| $0.09 per second | — | Input: Image Output: Video | |
| $0.22 per time | 2K · more | Input: TextInput: Image Output: Video | ||
| $0.09 per time | more | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | ||
| — | $0.11 per second | 480p · 720p | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | |
| $0.34 per second | 4k | Input: TextInput: Image Output: Video | ||
| — | $0.02 per second | 480p · 720p | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | |
| $0.34 per second | 4k | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | ||
| — | $0.04 per second | 480p · 720p | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | |
| $0.02 per second | 720p · 1080p · more | Input: ImageInput: VideoInput: Audio Output: Video | ||
| $0.09 per second | — | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | ||
| $0.03 per second | 540p · 720p · 1080p | Input: TextInput: Image Output: Video | ||
| $0.04 per second | 540p · 720p · 1080p | Input: TextInput: Image Output: Video | ||
| $0.09 per second | 720p · 1080p · 2k | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | ||
| — | $0.05 per time | — | Input: Video Output: Video | |
| — | $1.20 per time | — | Input: TextInput: ImageInput: Video Output: Video | |
| — | $3.20 per time | — | Input: TextInput: ImageInput: Video Output: Video | |
| $0.03 per second | 1080p · more | Input: Image Output: Video | ||
| $0.44 per time | — | Input: TextInput: Image Output: Video | ||
| $0.04 per second | — | Input: TextInput: Image Output: Video | ||
| $0.04 per second | — | Input: TextInput: Image Output: Video | ||
| $0.44 per time | — | Input: TextInput: Image Output: Video | ||
| $0.09 per time | 1K · more | Input: TextInput: Image Output: Video | ||
| — | $0.50 per time | — | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | |
| — | $0.30 per second | 720p · 1080p | Input: TextInput: Image Output: Video | |
| — | $0.10 per second | 720p | Input: TextInput: Image Output: Video | |
| $0.28 per time | — | Input: Image Output: Video | ||
| $0.09 per time | — | Input: Image Output: Video | ||
| $0.39 per time | — | Input: Image Output: Video |
hailuo 02 video Key Features
Discover the technical advantages that make hailuo 02 video a leader in the fast multimodal AI segment.
Superior Bilingual Vision
Deep cultural nuance and high accuracy for Chinese and English OCR and visual reasoning tasks.
Parallel Tool-Calling
Trigger multiple external tools in a single turn to streamline complex agentic workflows.
128k Context Window
Maintain high accuracy across massive datasets with efficient context compression and retrieval.
hailuo 02 video: Frequently Asked Questions
Everything you need to know about integrating the hailuo 02 video (MiniMax-02-fast) model into your production environment for low-latency visual tasks.
What is the typical latency for hailuo 02 video?
The hailuo 02 video model is built for speed. Its Time to First Token (TTFT) is usually between 180ms and 250ms for standard text inputs. For end-to-end processing of a 100-token response, you can expect a total latency of about 1.2 seconds, making it one of the fastest multimodal options currently available on the market for real-time applications.
Does hailuo 02 video support vision and OCR?
Yes, hailuo 02 video specializes in visual reasoning and Image-to-Text tasks. It outperforms many similar 'mini' models in recognizing dense text and complex layouts in bilingual (Chinese and English) documents. This makes it an excellent tool for processing invoices, receipts, and screenshots where high-fidelity OCR is required alongside deep contextual understanding of the visual elements.
Is data sent to hailuo 02 video used for training?
Security and privacy are paramount. Any data sent to the hailuo 02 video model via our API is strictly protected and is not used to train foundation models. Developers can integrate these visual capabilities into their enterprise workflows with the confidence that their proprietary data remains confidential and secure within our infrastructure.
How do I migrate from GPT-4o-mini to hailuo 02?
Migration is straightforward because hailuo 02 video uses an OpenAI-compatible endpoint. You simply need to update your base URL and model name in your existing SDK configuration. Most system prompts and instructions designed for models like GPT-4o-mini will work seamlessly without any additional modification, allowing for a quick performance boost and cost reduction.
What are the context window limits for hailuo 02?
The hailuo 02 video model features a generous 128,000-token context window. It maintains high retrieval accuracy—often referred to as 'Needle In A Haystack' performance—across this entire range. Despite the large window, the 02-fast architecture is optimized to keep memory overhead low, ensuring that even large-scale document analysis remains efficient and cost-effective for high-volume users.
Can hailuo 02 video handle parallel tool calls?
Absolutely. The hailuo 02 video model supports native function calling and can generate multiple tool calls in a single turn. This parallel processing capability is essential for agentic micro-services, as it significantly reduces the total round-trip time (RTT) for complex loops where the model needs to interact with various external APIs or databases simultaneously.
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