OpenAI-compatible AI API relay for multiple AI models with prepaid wallet billing
Python SDK for LoRA fine-tuning with supervised fine-tuning and reinforcement learning
Stage
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Founded
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Based in
HK
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Pricing model
Paid
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Pricing
Chat models from $0.019708 per million tokens; Image models from $0.00386 per image; Video models from $0.016 per second; Audio models from $0.00291 per request; Embedding models from $0.019 per million tokens. Example rates: Grok 4.6 at $1.9 input/$5.7 output per million tokens, Claude Opus 5.5 at
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Key features
OpenAI-compatible base URL and SDK support
197 AI models across 30 brands
Chat, image, video, audio and embedding models
Prepaid wallet billing with per-token pricing
Minimum $1 top-up with multiple payment methods
Alipay, Stripe, Antom and cryptocurrency payments
Dashboard with usage and spending records
Seven-language interface
API keys and spending limits management
Public API status page for provider availability
forward_backward() operation for computing loss and accumulating gradients
optim_step() for updating the adapter
sample() for generating from current or saved policy
save_state() to save and resume training state
Tinker API compatibility
Separate trainer and sampler resources
Synchronous and asynchronous RL patterns
Frozen base model weights with LoRA adapter updates
Support for open models from Qwen, Google, DeepSeek, Moonshot AI, NVIDIA, and Z.ai
What makes it different
Single API key and endpoint for 197 models from 30 brands
OpenAI SDK compatibility with one-line URL change
Global payment options including cryptocurrency and Alipay
Transparent per-model pricing visible before API calls
Support for emerging AI providers and latest models
Managed training and sampling infrastructure, no setup required
Tinker-compatible API for easy migration
Ready-made SFT and RL recipes through Loops cookbook
TokenMix
Loops