LLM Reference
Hyperbolic AI Inference

Hyperbolic AI Inference

Researched 90d agoInference PlatformTier 3

Hyperbolic

CodingRAGLong contextClassificationJSON / Tool useAI

Hyperbolic AI Inference offers 4 tracked models (4 with output token pricing). This catalog covers coding, rag, and long context; open any model detail page for benchmarks, batch tiers, and migration prompts.

Covers 5 workload areas across 4 tracked models; last verified 2026-04-19.

Use it for

  • Teams comparing token and batch pricing across this provider's models
  • Operators routing coding, rag, and long context workloads through this API

Do not use it for

  • Final benchmark picks without opening the relevant model detail page

Tracked models

4

Models available through this provider

Priced output routes

4

Models with output token pricing tracked

Cheapest output

$0.100

Llama 3.1 8B Instruct on this route

Batch-ready models

0

No batch pricing tracked

Latest model release

2024-07-23

725d since newest release

Freshness

2026-04-19

Researched 90d ago

stale

Information

TypeInference Platform
TierTier 3
Models4
CompanyHyperbolic
Founded2022
Irvine, California, United States

Hyperbolic is building an open-access AI cloud platform that provides affordable inference and compute resources for AI applications. Their platform enables developers, researchers, and individuals to build AI applications without relying on centralized infrastructures. Hyperbolic aims to create an open AI ecosystem and economy where contributors are rewarded for their participation. The platform offers access to state-of-the-art AI models, including Llama 3.1 405B and FLUX.1 for image generation, with features such as extended context lengths and optimized performance. Hyperbolic's mission is to democratize AI development by providing a decentralized alternative to traditional Web2 platforms, fostering innovation in the AI space.

Catalog freshness

The newest model tracked on this provider was released 2024-07-23 (725d ago).

Where this host wins

  • Coding: 2 tracked models with SWE-bench / HumanEval-style scores.
  • RAG: 3 tracked models with ruler / needle retrieval benchmarks.
  • Long-context: 3 tracked models with context-token or InfiniteBench-class signal.
  • Classification: 4 tracked models with MMLU-class moderation/safety coverage.

Getting started

Official product, docs, and pricing links — confirm quotas and regions in the vendor docs.

Compliance notes

No verified compliance claims (SOC 2, ISO, HIPAA) tracked for this provider yet — check the vendor's trust center for current certifications.

Platform Overview

Hyperbolic's AI platform offers an open-access cloud service that democratizes advanced AI computing resources. At its core is Hyper-dOS, a decentralized orchestration layer that efficiently manages global GPU infrastructure with auto-scaling and self-healing capabilities. The platform supports a wide range of AI functionalities, including real-time inference services, model training and fine-tuning, and performance evaluation. Users can access various AI models, such as large language models for text generation and image generation models like Stable Diffusion. The platform also incorporates a vector database for managing high-dimensional data and utilizes retrieval-augmented generation (RAG) techniques, enhancing the overall performance and flexibility of AI applications. The platform provides cost-effective access to high-performance GPUs, potentially reducing operational expenses by up to 80% compared to traditional cloud providers. It allows users to monetize idle GPU resources, fostering a collaborative ecosystem where contributions are rewarded. The platform ensures data privacy and integrity through advanced cryptographic techniques and a verification layer developed in collaboration with academic institutions. This combination of features enhances the scalability and reliability of AI applications, empowering users to innovate and develop AI solutions without the constraints of high costs or limited access to computing power.

Compare per-model pricing, input and output token costs, batch availability, and benchmark coverage.

Available Models(4)

View all →

All models available as Serverless

ModelInput (per 1M)Output (per 1M)
Llama 3.1 405B Instruct$4.00$4.00
Llama 3.1 70B Instruct$0.40$0.40
Llama 3.1 8B Instruct$0.10$0.10
Llama 3 70B Instruct$0.40$0.40

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