One OpenAI-compatible API and prepaid balance for nearly 500 AI models at lower prices
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
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Pricing model
Freemium
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Pricing
Free models with limited throughput; paid models charged per unit (language models per 1 million input and output tokens, images per image, video per second, speech per 1,000 characters, transcription per minute). Prices vary by model with discounts up to 50% compared to official rates. Example: Dee
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Key features
Nearly 500 AI models from leading publishers
OpenAI-compatible and Anthropic-compatible API
Text, image, video, speech and transcription models
Per-key spending limits
MCP server integration with Codex, Claude Code, Cursor, Gemini CLI
Free models with limited throughput
Per-model pricing with no platform fee
Prepaid balance system
AI Workspace for team collaboration and research
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 balance for nearly 500 models with no platform fee
Discounts up to 50% compared to official model pricing
OpenAI and Anthropic API compatibility without changing request format
Works directly with Claude Code, Codex, Cursor and Gemini CLI via MCP server
No data used for model training
Managed training and sampling infrastructure, no setup required
Tinker-compatible API for easy migration
Ready-made SFT and RL recipes through Loops cookbook
OceanToken
Loops