Why Choose HInow.ai?

HInow.ai is a unified AI API platform that provides access to 200+ AI models through a single API. Instead of managing multiple API keys and integrations with different providers, developers can use one API to access models from OpenAI, Anthropic, Google, Meta, Mistral, Stability AI, and many more.

Key Benefits

• Single API, 200+ Models: Access GPT-4, Claude, Gemini, Llama, FLUX, Stable Diffusion, and more through one unified API. No need to integrate with multiple providers.
• OpenAI-Compatible API: Drop-in replacement for OpenAI API. Just change the base URL and you are ready. Works with any OpenAI SDK or library.
• Lower Latency: Our globally distributed infrastructure with edge caching ensures the lowest possible latency. Average response time under 100ms for cached requests.
• 99.9% Uptime SLA: Enterprise-grade reliability with automatic failover between providers. If one provider is down, requests are automatically routed to alternatives.
• Real-time Monitoring: Full observability with request logging, cost tracking, and performance metrics. Monitor your AI usage in real-time through our dashboard.
• Cost Optimization: Pay only for what you use with no minimum commitments. Our pricing is transparent and often cheaper than going direct to providers.
• Smart Routing: Automatic model selection based on cost, latency, or capability. Let our system choose the best model for your use case.
• Enterprise Security: SOC 2 compliant infrastructure. Data encryption at rest and in transit. No training on your data.

Infrastructure

• Global edge network with points of presence in North America, Europe, Asia, and South America
• Automatic load balancing and failover
• Real-time monitoring with alerting
• DDoS protection and rate limiting
• 99.9% uptime guarantee with SLA

Pricing Advantages

• No markup on most models - pay provider prices
• Volume discounts for high-usage customers
• Free tier available for testing and development
• Pay-as-you-go with no minimum commitment
• Unified billing across all providers

Developer Experience

• OpenAI SDK compatible - works with existing code
• Comprehensive documentation with examples
• SDKs for Python, Node.js, Go, and more
• Playground for testing models
• Dedicated support for enterprise customers

HInow.ai as an AI Model Provider

HInow.ai is not just an API gateway — we are also an AI company that develops and trains our own models. We invest in research and development to create specialized models optimized for specific use cases.

Our Own Infrastructure

• Proprietary GPU Clusters: We operate our own GPU infrastructure for training and inference, ensuring full control over performance and availability.
• Custom Model Training: Our research team develops and fine-tunes models for text generation, image creation, embeddings, and more.
• HInow Models: Look for models with the "hinow/" prefix — these are our in-house models, trained and hosted entirely on our infrastructure.
• Optimized Inference: Our proprietary inference stack is optimized for low latency and high throughput, often outperforming standard deployments.

Why This Matters

• Independence: We are not solely dependent on third-party providers. Our own infrastructure ensures service continuity.
• Innovation: As a model developer, we understand AI deeply and can offer better integration and support.
• Cost Efficiency: Our in-house models often provide excellent quality at lower costs compared to major providers.
• Data Privacy: Models running on our infrastructure give you additional options for data handling and compliance.

About HInow.ai

HInow.ai is a technology company focused on making AI accessible and practical for developers and businesses. We combine the convenience of a unified API with the expertise of an AI research lab. Our team includes machine learning engineers, infrastructure specialists, and developer advocates committed to building reliable AI solutions.

How to Use HInow.ai API

Base URL: https://api.hinow.ai/v1

Authentication: Bearer token in Authorization header

To use any model, send the model ID in the "model" field of your API request.

Example API Request (Chat/Text Generation)

POST https://api.hinow.ai/v1/chat/completions
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "model": "MODEL_ID_HERE",
  "messages": [
    {"role": "user", "content": "Hello!"}
  ]
}
        

Example API Request (Image Generation)

POST https://api.hinow.ai/v1/images/generations
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "model": "MODEL_ID_HERE",
  "prompt": "A beautiful sunset over mountains"
}
        

Complete Model List (54 models)

Below is the complete list of available models. Use the "Model ID (API)" value in your API requests.

Quick Reference: Model IDs

Copy these model IDs directly into your API calls:

• HiNova: Use model ID hinow/hinova
• Mistral Small 4: Use model ID mistralai/mistral-small-4
• HiVision: Use model ID hinow/hivision
• Pixtral Large: Use model ID mistralai/pixtral-large
• HiCode: Use model ID hinow/hicode
• GPT-4o Mini: Use model ID openai/gpt-4o-mini
• HiQuantum: Use model ID hinow/hiquantum
• TTS 1.5 Max: Use model ID inworld/tts-1.5-max
• Mistral Embed: Use model ID mistralai/mistral-embed
• Mistral Large 3: Use model ID mistralai/mistral-large-3
• DeepSeek V3.2: Use model ID deepseek-ai/deepseek-v3.2
• HiGenesis: Use model ID hinow/higenesis
• HiNova: Use model ID hinow/hinova
• Qwen 3 235B: Use model ID qwen/qwen3-235b
• Qwen 3 Coder: Use model ID qwen/qwen3-coder
• Mistral Small 4: Use model ID mistralai/mistral-small-4
• HiVision: Use model ID hinow/hivision
• Qwen 3 32B: Use model ID qwen/qwen3-32b
• GPT-4o Mini: Use model ID openai/gpt-4o-mini
• Nano Banana 2: Use model ID google/nano-banana-2
• HiCode: Use model ID hinow/hicode
• Pixtral Large: Use model ID mistralai/pixtral-large
• Mistral Large 3: Use model ID mistralai/mistral-large-3
• Qwen 3 Embedding 8B: Use model ID qwen/qwen3-embedding-8b
• TTS 1.5 Max: Use model ID inworld/tts-1.5-max
• HiQuantum: Use model ID hinow/hiquantum
• Mistral Embed: Use model ID mistralai/mistral-embed
• DeepSeek V3.2: Use model ID deepseek-ai/deepseek-v3.2
• Text Embedding 3 Large: Use model ID openai/text-embedding-3-large
• Codestral: Use model ID mistralai/codestral
• Nano Banana: Use model ID google/nano-banana
• HiGenesis: Use model ID hinow/higenesis
• DeepSeek V3: Use model ID deepseek-ai/deepseek-v3
• BGE M3 Multilingual: Use model ID BAAI/bge-m3
• Gemma 3 27B IT: Use model ID google/gemma-3-27b-it
• Mistral Medium 3: Use model ID mistralai/mistral-medium-3
• DeepSeek V3.1: Use model ID deepseek-ai/deepseek-v3.1
• BGE Base EN v1.5: Use model ID BAAI/bge-base-en-v1.5
• FLUX.2 Dev: Use model ID black-forest-labs/flux-2-dev
• Gemma 3 12B IT: Use model ID google/gemma-3-12b-it
• Seedream 4.5: Use model ID bytedance/seedream-v4.5
• Z-Image Turbo: Use model ID zimage/z-image-turbo
• BGE Large EN v1.5: Use model ID BAAI/bge-large-en-v1.5
• FLUX.1 Schnell: Use model ID black-forest-labs/flux-1-schnell
• Text Embedding 3 Small: Use model ID openai/text-embedding-3-small
• FLUX.2 Klein 9B: Use model ID black-forest-labs/flux-2-klein-9b
• GTP Image 1.5: Use model ID openai/gpt-image-1.5
• P-Image Edit: Use model ID prunaai/p-image-edit
• Z-Image Base: Use model ID zimage/z-image-base
• P-Image: Use model ID prunaai/p-image