Quick Answer
Last verified:
High confidence

Hyperbolic costs $0.30 to $3.20 per GPU/hour as of May 2026, with 4 plans available. Plans: RTX 4090 at $0.5/GPU/hour, A100 at $1.8/GPU/hour, and H100 at $3.2/GPU/hour. Pricing depends on your chosen tier, contract length, and negotiated discounts.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: No free tier available

Hyperbolic offers 4 pricing tiers: RTX 4090, A100, H100, Serverless Inference API. Paid plans include RTX 4090 at $0.5/GPU/hour, A100 at $1.8/GPU/hour, H100 at $3.2/GPU/hour.

Compared to other ai/gpu cloud compute software, Hyperbolic is positioned at the budget-friendly price point.

    0

How much does Hyperbolic cost?

Hyperbolic pricing ranges from $0.30 to $3.20/GPU/hour across 4 plans. Plans include RTX 4090 at $0.50/GPU/hour, A100 at $1.80/GPU/hour, H100 at $3.20/GPU/hour, Serverless Inference API (custom pricing).

Hyperbolic Pricing Overview

Hyperbolic has 4 pricing plans ranging from $0.30 to $3.20/GPU/hour. The RTX 4090 plan costs $0.50/GPU/hour. The A100 plan costs $1.80/GPU/hour. The H100 plan costs $3.20/GPU/hour. The Serverless Inference API plan requires contacting sales for a custom quote.

This pricing was last verified in May 6, 2026 from 2 independent sources.

Hyperbolic is an on-demand AI cloud built for developers and researchers who need affordable GPU access without the friction of traditional cloud providers. The platform offers H100, A100, and consumer GPUs like the RTX 4090 on an hourly basis — no quotas, no sales calls, no long-term contracts.

In addition to dedicated GPU rentals, Hyperbolic provides a serverless inference layer that lets you call frontier open-source models (Llama, DeepSeek, Qwen) at per-token rates, making it a flexible option whether you're running batch jobs or building API-driven applications. The platform is OpenAI API-compatible, which simplifies integration for teams already using existing tooling.

How Hyperbolic Pricing Compares

Compare Hyperbolic pricing against top alternatives in AI/GPU Cloud Compute.

Live calculator

What does Hyperbolic actually cost you?

Drag the slider. Pick a tier. Watch your projected spend update live.

Tier
Billing
Your projected cost$12.5per month · $0.5/seat × 25 seats
Year 1 license$15012 months at this rate
At a glance

List price by tier (annualized, per seat)

Per-seat list price across Hyperbolic's plans, annualized. Custom-priced tiers show a hatched bar.

RTX 4090$6/yr
A100$21.6/yr
H100$38.4/yr
Serverless Inference APICustom

All Hyperbolic Plans & Pricing

Plan Monthly Annual Best For
View all features by plan (compare side-by-side)

RTX 4090

  • RTX 4090 24GB
  • On-demand availability
  • Hourly billing
  • No minimum commitment
  • OpenAI-compatible serverless inference also available

A100

  • A100 SXM 80GB
  • On-demand availability
  • Hourly billing
  • High-bandwidth NVLink interconnect
  • A100 PCIe also available at $1.60/hr

H100

  • H100 SXM 80GB
  • On-demand availability
  • Hourly billing
  • Fastest available GPU on platform
  • H100 PCIe also available at $3.00/hr

Serverless Inference API

  • OpenAI-compatible API
  • Llama 3.3 70B Instruct
  • Llama 3.1 405B Instruct
  • DeepSeek-R1 and DeepSeek-V3
  • Qwen 2.5 models
  • Pay-per-token, no GPU management
Compare Hyperbolic with alternativesAdjust seats, lock a tier, add up to 2 more products side-by-side. Shareable URL.

Usage-Based Rates

Per-unit pricing for Hyperbolic API usage.

RTX 4090

Model Unit Rate
RTX 3090 (24GB) second $0.000083 $0.30/hr
RTX 4090 (24GB) second $0.00014 $0.50/hr
  • Consumer GPU tier — best for inference and fine-tuning smaller models

A100

Model Unit Rate
A100 PCIe (80GB) second $0.00044 $1.60/hr
A100 SXM (80GB) second $0.00050 $1.80/hr
  • Data center GPU — suited for training and large batch inference

H100

Model Unit Rate
H100 PCIe (80GB) second $0.00083 $3.00/hr
H100 SXM (80GB) second $0.00089 $3.20/hr
  • Top-tier GPU for demanding training and frontier model inference

Serverless Inference API

Model Unit Rate
Llama 3.3 70B Instruct 1M input tokens $0.400
Llama 3.3 70B Instruct 1M output tokens $0.400
Llama 3.1 405B Instruct 1M input tokens $2.00
Llama 3.1 405B Instruct 1M output tokens $2.00
DeepSeek-R1 (671B) 1M input tokens $2.00
DeepSeek-R1 (671B) 1M output tokens $2.00
Qwen 2.5 72B Instruct 1M input tokens $0.400
Qwen 2.5 72B Instruct 1M output tokens $0.400
  • Serverless inference — no GPU management required
  • Verify current model list and rates at hyperbolic.xyz/models
  • Rates approximate; confirm at docs.hyperbolic.xyz

Compare Hyperbolic vs Alternatives

Before committing to Hyperbolic, compare pricing with these 3 alternatives in the same category.

All Hyperbolic alternatives & migration guides

What Companies Actually Pay for Hyperbolic

Median per-1M-token pricing across 3 models
Input $1.25/1M
Output $1.25/1M
Flagship models in this provider's catalog
Model Input /1M Output /1M Blended /1M
hyperbolic_qwen3-coder-480b-a35b-instruct_fp8 $2.00 $2.00 $2.00
hyperbolic_deepseek-v3-0324 $1.25 $1.25 $1.25
hyperbolic_llama-3-3-instruct-70b $0.400 $0.400 $0.400
Review scores
Top pricing complaints
Inference pricing for hosted models can be significantly higher than the model provider's own API — one community member noted Hyperbolic's price for DeepSeek 2.5 was 10x what DeepSeek charges directly
Source: Artificial Analysis — medians aggregated from 3 models in this provider's catalog. Per-1M-token pricing reflects list rates.

Hyperbolic Year 1 Total Cost by Company Size

Real deployment costs including licenses, implementation, training, and admin — not just the sticker price.

Serverless Inference: DeepSeek R1 at $2/1M Tokens $2 Year 1 total
input
output
Total $2

Developer using Hyperbolic's serverless inference API for DeepSeek R1 or Qwen3 Coder models at $2 per 1M tokens (input+output combined), without managing GPU infrastructure.

Cost vs. Self-Hosting a $30k GPU Rig $30,000 Year 1 total

Community analysis comparing a $30,000 self-hosted GPU investment against Hyperbolic serverless inference at $2/1M tokens.

Reddit (r/LocalLLaMA, 2025-04-15); Artificial Analysis (artificialanalysis.ai, 2026-04-23)

How Hyperbolic Pricing Compares

Software Starting Price Top Price
Hyperbolic $0.3/GPU/hour $3.2/GPU/hour
CoreWeave $10/instance/hour $68.8/instance/hour
Lambda $0.69/GPU/hour $6.99/GPU/hour
Modal Free $250/GPU/hour
Paperspace Free $39/GPU/hour
RunPod $0.34/GPU/hour $3.49/GPU/hour

Hyperbolic Pricing FAQ

01 How much does a Hyperbolic H100 cost?

Hyperbolic charges $3.00/hour for H100 PCIe and $3.20/hour for H100 SXM (the faster NVLink-connected variant). Both are billed by the hour with no minimum commitment.

02 What is the cheapest GPU available on Hyperbolic?

The RTX 3090 starts at $0.30/hour, making it one of the most affordable options for inference or smaller training jobs. The RTX 4090 is $0.50/hour.

03 Does Hyperbolic offer free credits or a free trial?

New users receive a $1 promotional credit upon phone verification, but this credit cannot be used for GPU rental. A minimum deposit of $5 is required to unlock Pro tier access and GPU compute.

04 Does Hyperbolic charge for storage?

Hyperbolic's published pricing covers compute (GPU hours) and serverless inference. Storage pricing is not listed on the main pricing page — check the docs or contact support for persistent storage costs.

05 How does Hyperbolic compare to RunPod?

Hyperbolic and RunPod are both on-demand GPU marketplaces with hourly billing and no contracts. Hyperbolic's H100 SXM is priced at $3.20/hr vs RunPod's ~$3.49/hr for H100 SXM, making Hyperbolic modestly cheaper at the high end. Both offer RTX 4090 and A100 options at competitive rates.

06 Does Hyperbolic support serverless inference?

Yes. Hyperbolic offers pay-per-token serverless inference for popular open-source models including Llama 3.1 405B ($4.00/1M tokens), DeepSeek R1 ($3.00/1M tokens), and Llama 3.3 70B ($0.40/1M tokens). Image generation starts at $0.01 per image.

07 How does Hyperbolic's pricing compare to self-hosting a GPU?

Community members in r/LocalLLaMA suggest hosted inference on Hyperbolic is economically preferable to a $10,000+ personal GPU setup for most inference workloads. One user calculated that at $2 per 1M tokens, a $30,000 budget would yield the equivalent of 41 million pages of tokens — and noted that inferencing costs will likely continue to drop over time.

08 What models are available on Hyperbolic's Serverless Inference API and what do they cost?

As of April 2026, Artificial Analysis tracks three Hyperbolic inference models: Qwen3 Coder 480B A35B Instruct (FP8) at $2.00/1M tokens, DeepSeek V3 0324 at $1.25/1M tokens, and Llama 3.3 Instruct 70B at $0.40/1M tokens. The provider median across tracked models is $1.25/1M tokens.

09 Can Hyperbolic's free credit be used for GPU rentals?

No. The $1 promotional credit granted on phone verification is restricted to the Serverless Inference API and cannot be applied toward GPU compute instances (RTX 4090, A100, or H100). A separate minimum deposit of $5 is required to unlock GPU rental access.

Is this pricing incorrect? — we'll verify and update it.