One key, one account, one API layer for every AI model — LLMs, vision, embeddings, speech, image, and video. Drop-in for Codex, Claude Code, LangChain — Token Station translates API shapes, tool names, and voice names so they just work.
Smart routing can cut token cost by up to 73% at the same quality bar (ICLR 2025). See the research →
Free to register — no credit card, no subscription · $10 credit on signup · Free models always free.
OpenAI-style endpoints (with streaming) for every provider and modality. Anthropic-style endpoints for all LLMs. And Token Station translates more than the wire format — tool/function names and voice names are mapped too — so the same model works in Claude Code, Codex, LangChain, or LlamaIndex.
Look closely: the OpenAI SDK below calls anthropic/claude-opus-4-8, and the Anthropic SDK calls openai/gpt-5.5. Any model, any SDK — pick whichever shape your tool expects.
Most gateways stop at the wire format. Token Station also translates the details that usually break cross-model use — so a model built for one harness or workflow drops straight into another.
Tool and function names are mapped to the names your harness expects — so models that aren't natively supported just work. Grok Build runs inside Claude Code and Codex through Token Station.
Request a TTS voice by name and Token Station resolves it to the matching voice actor on whatever speech model serves the call — no per-provider voice tables to maintain.
Long-running image and video generation is bridged to the synchronous OpenAI- and Anthropic-style request/response your code already uses — so async backends like the Seedance video API drop into sync pipelines.
OpenAI, Anthropic, Google, xAI, Seedance 2.0, ElevenLabs, Groq, Mistral, AWS Bedrock, NVIDIA NIM, and more — free models included at no cost. Browse the full catalog by provider, modality, context window, and price signal.
View all models →OpenAI, Anthropic, Google, Mistral, Runway, ElevenLabs, Kling — each with their own signup, verification, quota, and invoice.
→ Token Station: one account, one invoice.
Every provider has its own API key format, rotation policy, and auth header. Getting them into every service's secret store becomes a job.
→ Token Station: one key, every model.
Chasing receipts, reconciling prepaid credits, and explaining to finance why you're paying ten AI vendors instead of one.
→ Token Station: no subscription — pay-as-you-go passthrough.
Swap one base URL. Your existing OpenAI or Anthropic SDK code works unchanged.
Text, vision, voice, embeddings, image, or video — same client, same auth, OpenAI-style or Anthropic-style API.
Cost, latency, quality, reliability, provider preference, fallback — your rules, not a black box.
OpenAI-style APIs across all providers and modalities, with streaming. Anthropic-style APIs for every LLM. Drop-in for Codex, Claude Code, LangChain, LlamaIndex.
LLMs for chat, reasoning, agents, and coding. VLMs for multimodal. Embeddings, ASR, TTS, image, and video — all through the same client.
No more juggling separate provider billing portals, prepaid credits, and expiration dates. No subscription — one balance, one passthrough line item.
Route cheapest-first above a quality floor. Avoid expensive models when a cheaper one meets your bar. Cost savings compound across every call.
When a provider goes down, requests re-route to your chosen backup model automatically. Your users never see the outage.
Free to register — no credit card. Paid tokens bill at the provider's published rate with no percentage cut, and free models (like NVIDIA NIM) cost nothing.
Send each call to the cheapest model that clears your quality bar. Write rules per workload — cheapest-first with a quality floor, latency-capped with a provider allowlist, or strict fallback chains. Your priorities, explicit, versioned, editable without redeploying. Grounded in three years of peer-reviewed ICLR research on LLM routing — up to 73% token-cost reduction demonstrated in published benchmarks.
Host: models.bytefuture.ai. Each SDK speaks its native paths — no rewrites, no proxies.
Build faster, manage less, route smarter. One API layer for text, vision, voice, image, and video — with routing rules you control.
Smart routing isn't marketing — it's three years of peer-reviewed results at ICLR, the top machine-learning conference. Each paper below measured how far you can push a cheap model before quality drops, and where a strong model is actually worth the spend.
Ong, Almahairi, Wu et al. — UC Berkeley / Anyscale
Ding, Mallick, Wang et al. — UBC / Microsoft
Jitkrittum, Narasimhan, Rawat et al. — Google
Token Station lets you apply these techniques to your own workloads. Define the cheap-vs-strong tradeoff explicitly — cheapest-first with a quality floor, model-ensemble fallback, or allow/deny lists — and update rules without redeploying.
No credit card, no subscription. Start with $10 in credit, run free models for free, and pay provider rates — with zero markup — only on the paid models you actually call.
No credit card. No subscription. Pay only for the paid models you call — at provider rates, zero markup.
Coming from a credit-markup gateway like OpenRouter? There's no subscription and no percentage top-up fee here — register free, get $10 in credit, and pay provider rates only on paid models.
Yes. Swap the base URL to https://models.bytefuture.ai/v1 and your OpenAI SDK works across every provider and modality — streaming, tool use, multi-turn included. LangChain, LlamaIndex, and anything expecting OpenAI works unchanged.
Yes — same host, different SDK conventions. For the OpenAI SDK, set base_url="https://models.bytefuture.ai/v1" and the SDK hits /v1/chat/completions, /v1/responses, plus the multimedia paths. For the Anthropic SDK, set base_url="https://models.bytefuture.ai" (no /v1 — the SDK adds it) and it calls /v1/messages. One key, both tools, same models. And because Token Station translates tool/function names and voice names — not just the API shape — even non-native models like Grok Build work inside Claude Code and Codex.
Seven: LLMs, VLMs, embeddings, ASR (speech → text), TTS (text → speech), image generation, and video generation. All through the same client and the same key. New providers and models are added based on demand.
You define rules per workload. Examples: "cheapest model meeting a quality floor," "latency under 400ms with GPU provider allowlist," "Claude Opus with GPT-4o fallback, then Gemini Pro." Rules are explicit, editable, and versioned — no black-box routing.
There's no subscription and no token markup. Registration is free — no credit card — and $10 in credit lands in your balance the moment you sign up. Free models (like NVIDIA NIM) cost nothing; paid models pass through at the provider's published rate. Percentage gateways silently scale their take with your bill — we don't.
Start with LLMs — then add vision, voice, image, or video without changing your gateway. The same account, key, and API shape keep working as your product grows into new modalities.
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.
One key for every AI model, one account in place of ten, and smart routing you control — free to register, with $10 in credit on us.
Free to register — no credit card, no subscription. $10 credit applied instantly.