We abstract AI inference into a standardized, metered, and governable Smart Token Service — connecting the major foundation models and adapting across every GPU vendor.
We speak OpenAI. If your code already calls openai.chat.completions, change the base URL and you're done. Switch models with a string. No SDK lock-in.
# pip install openai from openai import OpenAI client = OpenAI( base_url="https://api.smartoken.com/v1", api_key="sk-••••••••••••••", ) response = client.chat.completions.create( model="deepseek-v3", messages=[ {"role": "user", "content": "Explain TaaS in one tweet."} ], ) print(response.choices[0].message.content)
From signup to first token, the whole thing fits on one cup of coffee.
Sign up with Email or GitHub.
WeChat Pay & Stripe supported. Pay-as-you-go.
Create scoped API keys per project.
Seamless integration in your agents.
671B MoE flagship. Strong reasoning at a fraction of frontier-model pricing.
Alibaba's flagship. Strong performance on Chinese and multilingual tasks.
ByteDance flagship. 256K context at competitive cost.
Google's fast multimodal. Vision, audio, and tool use built in.
Meta's open flagship. Self-hostable. Strong reasoning, no lock-in.
LPU-accelerated. 500+ tok/s. Real-time voice agents, low-latency UX.
A smart token factory: broad model coverage, accurate metering, smart failover, and infrastructure that lets your data stay where it should.
Requests stay in-region. Singapore traffic processes in Singapore, London in London — no cross-border data transfer required for compliance-sensitive workloads.
Doubao, Qwen, DeepSeek, Gemini, Llama, plus enterprise proprietary models — across text, image, video, and multimodal. OpenAI-compatible. Switch by changing one string.
A single abstraction over NVIDIA GPUs, AMD GPUs, Google TPUs, and Groq LPUs. Self-hosted optimized inference stack (vLLM, SGLang, TensorRT-LLM) with distributed scheduling for predictable performance.
When an upstream provider degrades, traffic shifts within seconds to the next-best endpoint. Same model name, no app-level changes — your service stays up while their incident gets fixed.
Pay-as-you-go on actual usage. Input/output tokens metered separately, broken down by project, team, and key. No credit card required to start, no minimum commit.
SSO, audit logs, per-key rate limits, IP allow-lists, and a single invoice across every model. SLA-backed uptime with status page and incident playbook.
One simple model: pay per token used. No seats, no platform fee, no minimum commit. Sign up, top up, ship.
Per-call billing on actual token usage. Pricing per model is published — no hidden markup, no platform subscription. Top up any amount to begin.
For high-volume workloads, regulated industries, and teams that need dedicated capacity. Volume pricing, custom SLAs, and tailored deployment options.
Built for the gap between a working demo and a service that handles real production traffic — smart routing, edge acceleration, deep inference tuning, and data safety as defaults.
Routing-only platforms inherit every upstream incident. We absorb them — mirrored deployments, warm capacity, and engineers paged before your users notice.
Each request is routed by latency, cost, or quality to the best-fit endpoint. Pin fallback chains so an upstream incident degrades — instead of breaks — your product.
Multi-region PoPs with anycast ingress and warm pools — requests land on the nearest edge, cutting TLS round-trips and cold-start tax for users in every market.
Prefill–decode disaggregation, continuous batching, paged KV cache, speculative decoding — production-grade tuning that lifts throughput and pushes TTFT down on the same hardware.
Prompts and outputs are not persisted by default. Region pinning keeps data in-jurisdiction, with per-key audit logs and signed request envelopes for sensitive workloads.
Don't see what you're looking for? Our docs go deeper, or talk to a human.
Ship one integration. Get every major model, every region, and every price tier — through a single OpenAI-compatible endpoint.