One API for any model
OpenAI-style requests work out of the box — unify mainstream models behind one interface.
Better prices, more stable runs, and global service — designed for agent workflows and production reliability. Access 100+ AI models with one API.
Designed for production agents: one API, consistent routing, global availability, and compliance-aware data handling.
OpenAI-style requests work out of the box — unify mainstream models behind one interface.
Better token economics and more stable runs for multi-step workflows. Optional prompt caching and batch-friendly throughput.
Edge-aware routing for interactive workloads — reduce latency between your app and inference, with region-aware enterprise options.
GDPR-ready processes, clear privacy terms, and enterprise data processing agreements. Custom data strategies route requests only to trusted models and providers.
Open-weight and partner models — same API surface. Prices shown as list indicators; actual rates depend on your plan.
Optimized for production agent workflows
Stable runs with efficient routing
Global coverage for interactive workloads
Smart interface for any model
From API service to enterprise-dedicated clusters.
One unified, OpenAI-compatible API for mainstream models — switch without rewriting your integration.
Deploy open models for fine-tuning and high-throughput batch inference, optimized for production throughput.
Enterprise-grade access with dedicated capacity, SLAs, and optional private deployment for your workflows.
Placeholder quotes — replace with real customers after launch.
“Same OpenAI-compatible code, different models. Our eval harness could swap models without changing request wiring.”
— ML engineer · tooling
“Fallback saved a live demo. When one upstream degraded, the next pool kept the assistant responsive.”
— Product engineer · launch day
“Agent tool calling just works. No vendor-specific adapters needed for our function execution layer.”
— Platform dev · tool orchestration
“We can safely run CI with per-key limits and clear usage accounting — fewer surprises, easier budgets.”
— DevOps · CI guardrails
“Prompt caching reduced repeated system/context costs for our agent workflows.”
— Founder · cost optimization
“Batch jobs for long documents complete reliably. The routing layer keeps throughput steady overnight.”
— Backend · batch inference
“Model IDs are consistent in our production config. Routing picks the best upstream for latency and context size.”
— Engineering manager
“Billing matches successful completions. Retries don’t turn into surprise token bills.”
— FinOps · usage reconciliation
“Global coverage matters for us: interactive assistants feel faster with edge-aware routing.”
— Full-stack · global users
“Enterprise privacy and data processing agreements were clear. We can restrict providers to trusted options.”
— Security lead · compliance
Create an account, add credits, issue an API key, and call the same endpoints you already use.
Email or Google / GitHub OAuth.
Card or other supported methods. Free tier includes starter tokens.
Keys are issued server-side; shown once — store in TOKENHUB_API_KEY.
POST /v1/chat/completions with your preferred SDK.
Latest product and routing updates.
Latency vs cost policies per organization.
New context lengths in catalog.
CSV export for billing reconciliation.