Confidential and open LLM inference for agents, paid per request in USDC
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
US
Pricing model
Paid
Paid
Pricing
Not given
LLM inference: Models priced per million tokens input and output, ranging from $0.043 to $3.63 for input and $0.22 to $18.15 for output (e.g., Qwen3.8 27B route C: $0.043/$1.375, Kimi K3 route B: $3.63/$18.15). Virtual machines: Starter $0.159-$0.169/hour, Standard $0.318-$0.335/hour, Pro $0.636-$0.
Key features
Model catalog with open models
GPU price comparison across providers
Price transparency before launch
Dedicated, non-shared endpoints
OpenAI-compatible API
Endpoint monitoring and status tracking
Credit-based billing with held estimates
Automatic refunds for failed launches
Attested confidential model execution on Intel TDX hardware
Open tier LLM inference without attestation
Price shown before model execution
No account or API key required
Virtual machines for AI swarms by the hour
Phone numbers and calling with metered pricing
Email inboxes with sending allowances
Access via HTTP without signup
416 open source models available
What makes it different
Lowest-cost GPU inference compared across providers
Know maximum price before launch
Fully dedicated endpoints not shared with others
Three-step workflow from model to live API
OpenAI API compatibility for easy integration
Encrypted memory and disk in processor with no company access to keys
Price transparent and settled before request execution
No account signup, payment via wallet address
Automatic enforcement of calling and messaging consent rules
Dorbit
Agentgates