Migrating from Hyperbolic
Hyperbolic retired its serverless inference API. If you built on it, your integration stopped working through no fault of yours. Here is a working home — one base-URL swap away.
Written 2026-10-05. Hyperbolic's status and all prices were checked that day; links go to the sources.
What changed
Hyperbolic's own FAQ says it plainly: “The serverless inference API and the playground have been retired… We are building a new inference product. We cannot share a release date yet.” (hyperbolic.ai FAQ, accessed 2026-10-05). Existing API keys no longer work for inference, and remaining credits apply to GPU rentals rather than tokens. They were good at this, and they may be again — but if you need tokens today, waiting on an unannounced date is not a plan.
The switch
Synap speaks the same protocol Hyperbolic did — the OpenAI API. Migration is a key and a base URL; your request and response handling code does not change.
1. Sign in with Google — free, no card.
2. Top up credits (from $10) and copy your key (sk-pool-…) on the
account page.
3. Point your SDK at us:
# before
base_url = "https://api.hyperbolic.xyz/v1"
# after
base_url = "https://pool.linkrra.com/v1"curl https://pool.linkrra.com/v1/chat/completions \
-H "Authorization: Bearer $LINKRRA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-coder-30b",
"messages": [{"role": "user", "content": "Say hello"}]
}'Cline, Continue, Cursor, Aider, LiteLLM and anything else OpenAI-compatible work the same way — setup snippets for each are on Docs.
Where your models land
We serve open-weight models only, ten of them: six we serve on dedicated GPUs we operate, and four of the most asked-for models we do not, bought through zero-data-retention providers. If you were calling a Llama, Qwen, DeepSeek or GLM family model, the closest homes here are below — prices read live from /v1/models on 2026-10-31 against /v1/models, which is what the gateway bills.
| If you ran | Closest on Synap | In /1M | Out /1M |
|---|---|---|---|
| A small Llama / general chat | gpt-oss-20b | $0.017 | $0.085 |
| A Qwen coder model | qwen3-coder-30b | $0.0675 | $0.27 |
| A fast general or Gemma model | gemma-4-26b-a4b-it | $0.040 | $0.210 |
| DeepSeek, fast tier | deepseek/deepseek-v4-flash | $0.165 | $0.331 |
| DeepSeek, reasoning | deepseek/deepseek-v4-pro | $2.279 | $4.051 |
| A GLM model | z-ai/glm-5.3-flash | $0.285 | $0.338 |
| A frontier GLM | z-ai/glm-5.3 | $1.507 | $1.994 |
| Agents and tool calling | meta/muse-glimmer-30b | $0.280 | $1.100 |
The full catalog is on Models. If a model you depended on is missing, tell us: weare@linkrra.com — catalog requests from migrating users get read first.
What to know before you commit
The numbers are published. Our flagship coder runs on consumer RTX 5090s — that is how it costs $0.0675/$0.27 per 1M. The measured throughput is on the benchmark page, not hidden behind a product name.
Zero data retention, enforced per request. Every forwarded call
carries zdr: true; a model with no compliant endpoint fails the request
rather than quietly routing somewhere that keeps your data.
Prepaid, like you are used to. Pay-as-you-go credits that do not expire, or monthly plans — details on Pricing. Crypto works too (USDC on Base via x402, TON).
A $10 top-up is enough to run your real prompts against the models above and decide with evidence. If it does not fit, you have lost an afternoon, not a migration.