ai.yandexx.st runs GLM, DeepSeek and Qwen — the strongest open-weight models — on our own GPU clusters behind one OpenAI-compatible API. No rented capacity, no token markups: just clean infrastructure for open models, free during public beta.
Every model below is served from our own GPU clusters through the same API. Specs reflect current production deployments.
Flagship agentic & coding model
Top-tier tool-calling, long-horizon planning and repo-scale code generation for serious production agents.
Deep reasoning at disruptive cost
Sparse mixture-of-experts with an integrated thinking mode for math, proofs and the hardest code.
Multilingual production workhorse
Balanced quality and speed for global products, with best-in-class multilingual coverage.
Your code doesn't change — only the base URL does. That is the whole migration.
Log in to the console and generate an API key in seconds — one key unlocks every model on the network.
Change a single line — the base URL. Everything else stays exactly as your code is today.
client = OpenAI( base_url="https://api.yandexx.st/v1", # ← that's it api_key="yx_live_••••••••" )
One parameter moves you between GLM, DeepSeek and Qwen. Benchmark them side by side, then commit — no re-plumbing.
Drop-in /v1/chat/completions with streaming, tool calls and JSON mode included.
Bare-metal H100 / H200 nodes owned and operated by us — capacity that scales with the network, not with your invoice.
Zero retention on every request. Your prompts never touch any training run.
Burst to hundreds of parallel streams; capacity autoscales with your traffic.
Request logs, latency traces and usage dashboards live in the console.
Real humans who run the clusters answer your tickets — not a chatbot loop.
We build on the best open tooling in the ecosystem and contribute back. Nothing about this platform is a black box — and every model we serve publishes open weights.
vLLM and SGLang with FP8 kernels, continuous batching and prefix caching — the same stack the open-source community trusts.
Kubernetes with per-region autoscaling. Model weights are mirrored to every cluster, so any node can serve any model.
GLM, DeepSeek and Qwen all publish open weights — audit them, benchmark them, or self-host them. No lock-in, ever.
A live view of the network. Each cluster reports load and health straight from our monitoring stack.
Log in to the console to grab an API key, or start with the model catalog and docs. During public beta, access is free while we scale capacity.