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Hyperbolic Python API Setup

Use this page when you need a working Python starting point for Hyperbolic, then validate quota and model names in the official console before production.

Open official provider → Get one OpenAI-compatible key → Compare API gateway options →

Quick verdict

Free API: 试用/任务额度以官网与控制台为准
Rate limits: 按账号、模型、GPU 区域和供给变化
Best model starting point: Open-weight LLM inference
Mainland China access: proxy/relay likely needed

Provider fit matrix

Best fit Fast provider evaluation, prototypes, and fallback routing

Watch out Free credits and rate limits can change without warning

Production fallback Keep at least one compatible backup provider before shipping

Hyperbolic buyer intent notes

Who should care

Best for teams comparing low-cost open-model APIs, GPU marketplace capacity, and OpenAI-compatible endpoints for experiments.

Decision trigger

Use Hyperbolic when you want flexible inference/GPU routes and can tolerate route-specific capacity checks.

Watch out: Availability can depend on model, GPU supply, and region; keep a second provider for spikes and benchmark latency under realistic concurrency.

Hyperbolic Python setupCompatible starter call DeepInfra free APIHosted open-model comparison Cheapest LLM API leaderboardCost-first fallback research

Production readiness checklist

Quota gate Start inside 试用/任务额度以官网与控制台为准; log usage before adding retries or batch jobs.

No-card check Try the free path first, then confirm whether billing is required for API keys, higher RPM, or production endpoints.

Regional smoke test Run signup, dashboard, DNS, TLS, and first API call checks from mainland China before launch.

Source freshness Snapshot date: 2026-06-16; official quota and pricing can change without notice.

Python setup snapshot

Start with the smallest possible chat completion, then move the key to your server-side secret manager before production.

from openai import OpenAI

client = OpenAI(
    api_key="your-hyperbolic-key",
    base_url="https://api.hyperbolic.xyz/v1"
)

response = client.chat.completions.create(
    model="meta-llama/Meta-Llama-3.1-8B-Instruct",
    messages=[{"role": "user", "content": "Compare API inference vs renting a GPU for a weekend prototype."}],
)
print(response.choices[0].message.content)

Free API and pricing notes

试用/任务额度以官网与控制台为准

Hyperbolic spans AI APIs and GPU supply. High-intent searches usually ask about free credits, cheap GPUs, and open-model APIs. Before production, capture a source snapshot for credits, queue behavior, failure rate, and real per-task cost.

Access and production risk

Relay or proxy may be needed

Mainland China access, signup, and payment require a small live test; for stable Chinese-language or China-facing workloads, compare SiliconFlow, Qwen, DeepSeek, RunPod, Modal, and compliant API gateways.

How to set it up

Create or locate your provider API key in the official dashboard.

Install the OpenAI-compatible Python SDK or the provider-supported SDK.

Set the API key in an environment variable instead of hard-coding secrets.

Run a small Hyperbolic chat completion with Open-weight LLM inference.

Watch free credits, RPM/TPM limits, response shape, and error messages before scaling.

Hyperbolic production validation table

Use this table before sending real users, scheduled agents, or paid traffic to Hyperbolic. The goal is to validate source freshness, quota behavior, regional access, and fallback needs instead of trusting a stale free-credit claim.

Check Pass condition If it fails

Signup and billing state Key creation works and the account can spend the recorded 试用/任务额度以官网与控制台为准. Compare Hyperbolic alternatives or route through a gateway before inviting users.

First request from target region Proxy, relay, or non-mainland deployment path is documented before launch. Do not ship cron jobs or public demos until latency, DNS, TLS, and auth are repeatable.

Quota, retry, and error shape Rate-limit behavior matches the current 按账号、模型、GPU 区域和供给变化 note or official dashboard values. Cap retries, add request logging, and keep a second route for 429/5xx bursts.

Cost per accepted task Real prompts stay within your target token, query, image-credit, or compute budget. Use cheaper primary routes, caching, shorter prompts, or fallback only after validation failure.

Credit-change alerts

Want to know when free credits, pricing, or availability changes? Subscribe first, then compare official providers, API gateways, and alternatives.

Subscribe → Get an OpenLLMAPI key → Compare API gateways →

Source snapshot

Data source: yangmao.ai provider YAML tracker plus provider docs reviewed by the daily crawler. Official dashboards can change quota and pricing without notice; verify before production.

yangmao.ai provider id: hyperbolic
Official source: https://www.hyperbolic.xyz
Last updated: 2026-06-16
Free tier: Trial credits, GPU/model free usage, and limits depend on the current Hyperbolic console.
API credits: 试用/任务额度以官网与控制台为准
Rate limit: 按账号、模型、GPU 区域和供给变化
Access note: Mainland China access, signup, and payment require a small live test; for stable Chinese-language or China-facing workloads, compare SiliconFlow, Qwen, DeepSeek, RunPod, Modal, and compliant API gateways.

FAQ

Does Hyperbolic have a free API?

Yes. Current yangmao.ai record: 试用/任务额度以官网与控制台为准. Rate limit note: 按账号、模型、GPU 区域和供给变化.

Is Hyperbolic OpenAI-compatible?

The recorded setup uses an OpenAI-compatible pattern or SDK-style call. Validate the latest base URL and model names in Hyperbolic docs.

Can I use Hyperbolic from mainland China?

Hyperbolic may need a proxy or relay from mainland China. Test latency and signup before production.

What should I do when Hyperbolic credits run out?

Compare the alternatives below, check /en/free-ai-api/, and shortlist official providers or API gateway options before production.

Who should test Hyperbolic first?

Test Hyperbolic first if you need low-cost open-model access or GPU-backed experimentation and can actively validate current capacity and rate limits.