One Token Station key unlocks 100+ models — OpenAI, Anthropic, Google, and more. No sign-ups. No separate API keys. Smart routing picks the cheapest model that gets the job done.
No credit card. First 200 early users lock in launch pricing forever.
"We started with Claude Opus for everything because it worked great. The bill was $250/month for maybe 10K conversations."
— HN comment, 2026
→ Token Station: set a hard cap. Bill stops there.
"Claude's API had been returning 529 'Overloaded' errors since 2 AM, and our entire document summarization flow was dead."
— Production postmortem
"The 5% markup at $100K/month is $60K/year just for routing. I could hire someone for that."
— Engineering lead, Series B startup
Change one line. Your existing OpenAI SDK code works unchanged — Token Station is fully API-compatible.
Our router evaluates complexity, context, and quality requirements to pick the cheapest model that passes your bar.
Real-time dashboard shows savings per call. If a provider goes down, we failover automatically — your users never notice.
RouteLLM-based intelligent model selection. Sends simple tasks to cheap models, complex ones to capable ones — automatically.
Provider down? We reroute within 200ms. No alerts, no manual intervention — your users stay unaware.
Set minimum quality thresholds per request. Guaranteed ≥95% of GPT-4 quality, validated on RouteLLM benchmark (ICLR 2025).
Drop-in OpenAI-compatible API. Works with LangChain, LlamaIndex, and any SDK without changes.
Real-time dashboard breaks down spend by model, endpoint, and team. Know exactly where every dollar goes.
Token usage billed at provider's published rates — we add nothing on top. You pay for what you use, nothing more.
Set a monthly spend limit per project, per team, or per API key. When you hit the cap, Token Station stops routing — no overages, no exceptions. Get a Slack or email alert at 70%, 90%, and 100% so you're never caught off guard.
Token Station's routing engine is grounded in RouteLLM — published at ICLR 2025. The results are clear: route only 14% of calls to GPT-4 while preserving 95% of the benchmark performance.
† RouteLLM: Learning to Route LLMs with Preference Data — Published at ICLR 2025. Routes only 14% of queries to a strong model while preserving 95% benchmark quality; measured 85% cost reduction. arxiv.org/abs/2406.18665 ‡ Amazon Web Services, Intelligent Prompt Routing on Amazon Bedrock — measured 60% cost reduction in production workloads. aws.amazon.com/bedrock/prompt-routing
"LLM prices dropped 80% — but only if you can actually switch providers. Most teams can't. That's the problem."
— Developer community consensus, 2026Sign up free. Top up credits when you need them. Smart routing means your credits go further.
Smart routing blends cheap + capable models — you get more calls for the same spend.
Yes. Token Station is fully OpenAI-compatible. Change one line — your API key and base URL — and every existing call works. No SDK changes, no new libraries, no migration effort.
Routing decisions happen in <5ms — negligible compared to LLM inference latency. Failover rerouting is <200ms. We run in all major cloud regions, so your requests always hit a nearby edge node.
OpenAI, Anthropic, Google Gemini, Mistral, Cohere, and Amazon Bedrock at launch. We're adding new providers continuously based on user feedback.
We use a multi-region active-active architecture with 99.99% uptime SLA. In the unlikely event of issues, our SDK includes automatic bypass mode — requests fall back directly to the provider.
Routing metadata (model selection, token counts, latency) passes through our system. Request content is forwarded directly to providers — we don't log or store prompt content. Enterprise plans support VPC deployment for full data isolation.
Join free. First 200 users lock in launch pricing — forever.
No credit card. First 200 early users lock in launch pricing forever.