Hyperbolic

Developer Tools

Hyperbolic

FreemiumAPI

About

Low-cost AI cloud for developers: an OpenAI-compatible API for open models like Llama, Qwen and DeepSeek priced far below closed models, plus on-demand H100-class GPU rental with transparent up-front rates; 250k+ developers

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Our Verdict

Worth Trying

Cheap open-model inference and rentable GPUs, with prices you can actually see

Hyperbolic sits in a crowded lane — open-model inference clouds — but earns attention two ways: its per-token prices for models like Llama and DeepSeek undercut the closed-model APIs by a wide margin, and it puts those numbers on the page instead of behind a sales call. On top of the OpenAI-compatible inference API, you can rent H100-class GPUs by the hour, so a team can prototype against the hosted endpoint and then rent raw compute for training without changing vendors. Founded by researchers and used by a 250k-strong developer community, it also exposes base-model variants that instruct-only providers hide — handy for anyone doing real experimentation. The trade-offs are the usual ones for a younger challenger: no perpetual free compute tier, a narrower catalog than mega-aggregators, and GPU availability that flexes with demand. But if you want honest, low pricing on open models and the option to rent compute in the same place, Hyperbolic is a solid pick worth benchmarking against Together, Novita and OpenRouter.

Best for

•Developers wanting cheap open-model inference with transparent pricing
•Teams that need both a hosted API and rentable H100-class GPUs
•Researchers who need base-model access, not just instruct variants

Consider alternatives if

•You need the widest open-model catalog or frontier proprietary models (→ Together AI / OpenRouter / OpenAI)
•You want the absolute fastest inference speed (→ Cerebras / Groq)

Try Hyperbolic

Supported Platforms

Web AppAPI

Available platforms include Web App and API.

Key Features

OpenAI-compatible inference API for open models: Llama, Qwen, DeepSeek, image and audio models

On-demand GPU rental (H100 and more) alongside the hosted inference API

Transparent, up-front per-token and per-GPU-hour pricing

Serverless inference plus rentable compute from a single account

Base-model and instruct variants exposed for fine-grained control

Used by 250k+ developers and researchers for affordable AI compute

Pricing

free

New accounts get starter credits to call the inference API; there is no perpetual free compute tier, so sustained usage requires topping up.

paid

Pay-as-you-go: inference is billed per million tokens by model (open models are priced well below closed-model APIs), and rentable GPUs are billed per hour with H100-class instances quoted up front. All rates are listed publicly on the site rather than hidden behind sales. (Verified against official sources, 2026-07-28.)

Use Cases

Calling open LLMs cheaply through an OpenAI-compatible endpoint

Renting H100-class GPUs on demand for training or heavy inference

Researchers who need base-model access, not just instruct variants

Builders wanting hosted inference and rentable compute in one place

Pros

Open-model inference priced well below closed-model APIs

Both hosted API and on-demand GPU rental from one account

Transparent up-front rates instead of sales-gated quotes

Base-model access appeals to researchers and power users

Cons

No perpetual free compute tier — sustained use needs a top-up

Smaller model catalog than broad aggregators like Together or OpenRouter

Younger company with a shorter track record than hyperscalers

GPU availability can vary with demand for popular instance types

Latest Update

2026: Hyperbolic continues to grow its community of 250k+ developers, keeping open-model inference cheap and pairing it with on-demand H100-class GPU rental, positioning itself as an affordable, transparent alternative to both closed-model APIs and hyperscaler compute.