Affordable AI API gateway for frontier models at up to 89% below official pricing
Python SDK for LoRA fine-tuning with supervised fine-tuning and reinforcement learning
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
Not given
Pricing model
Paid
Not given
Pricing
Pay per million tokens in USD with no subscription or minimum spend. Prices vary by model and provider. Example flagship models: Claude (from $5.9/$29.5 input/output per million tokens), GPT-6-Astra (from $0.175/$0.875), Claude Opus (from $0.0125/$0.0625). Prompt caching at 10% of input rate where s
Not given
Key features
OpenAI-compatible endpoint
Access to 171 frontier models
Automatic failover across upstream providers
Per-token billing from upstream usage reports
Full SSE streaming passthrough
Per-key rate limits and model allowlists
Complete usage logs with cost breakdown
Anthropic Messages API support
Prompt caching at 10% of input rate
Health tracking per provider family
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 for 171 models across 19 families with no per-provider signups
Up to 89% savings below official pricing on frontier models
Automatic failover ensures requests route around capacity outages
Pay only for tokens consumed with no monthly subscription or minimum spend
Exact billing metered from upstream usage, never estimated from characters
Managed training and sampling infrastructure, no setup required
Tinker-compatible API for easy migration
Ready-made SFT and RL recipes through Loops cookbook
AtmoRouter
Loops