One API for 72 leading AI models from 15 labs with unified billing and automatic failover
Python SDK for LoRA fine-tuning with supervised fine-tuning and reinforcement learning
Stage
Not given
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Founded
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Based in
NZ
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Pricing model
Paid
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Pricing
Prepaid USD balance with per-token pricing. Text models from $0.627 input / $1.881 output per 1M tokens. Image generation from $0.011 per image. Video generation from $0.043 per second. Card top-ups from $5 with 5.5% fee ($0.80 minimum). Trial credit: $1 for 7 days.
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Key features
OpenAI and Anthropic API format compatibility
Automatic failover routing to backup routes
Bring your own keys (BYOK) with 1M free monthly requests
Unified USD billing with per-token pricing
Image and video generation support
Team and project-level access controls
Usage tracking with per-model details and exports
Support for streaming with standard server-sent events
Automatic route verification at least weekly
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
All 72 models through one API with unified billing, no separate accounts needed
Leading models priced at or below official list prices
Automatic failover keeps requests on the same model even when a route fails
Free BYOK plan with 1M monthly requests using your own provider keys
Per-token billing with token counts and prices shown per request
Managed training and sampling infrastructure, no setup required
Tinker-compatible API for easy migration
Ready-made SFT and RL recipes through Loops cookbook
BoostRail
Loops