LLM Reference
OctoAI API (Deprecated)

OctoAI API (Deprecated)

Researched 8d agoInference PlatformTier deprecated

OctoAI

CodingRAGLong contextClassificationJSON / Tool useAIHighlight

OctoAI API (Deprecated) exposes 13 tracked models (13 with output token pricing in seed data). Task coverage across this catalog includes coding, rag, and long context; open any model detail page for benchmarks, batch tiers, and migration prompts.

Portfolio context: 5 decision-task tags, 13 catalog rows, latest research stamp 2026-06-01.

Use it for

  • Teams comparing token and batch economics on this surface
  • 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

Catalog rows

13

Models linked to this provider in seed data

Priced output routes

13

Rows with token_out in seed data

Cheapest output

$0.150

Llama 3 8B Instruct on this route

Batch-ready SKUs

0

No batch pricing tracked

Latest catalog ship

2024-07-23

686d since dated release field

Freshness

2026-06-01

Researched 8d ago

fresh

Information

TypeInference Platform
TierTier deprecated
Models13
CompanyOctoAI
Founded2019
Seattle, Washington, United States

OctoAI is a powerful AI infrastructure platform designed to help developers run, tune, and scale generative AI applications efficiently. The platform offers access to some of the fastest foundation models available, including Llama-2, Stable Diffusion, and SDXL, along with integrated customization solutions. OctoAI's infrastructure allows developers to focus on building impressive AI applications without becoming AI infrastructure experts. Key features of OctoAI's platform include: 1. Easy access to optimized models and fine-tuning capabilities 2. Seamless scaling from development to production 3. World-class machine learning systems 4. SaaS offering or deployment in the user's environment 5. Infrastructure optimized for running the latest AI models OctoAI aims to make models work for developers, streamlining the process of integrating AI into applications and ensuring efficient performance. The platform is particularly suited for developers looking to leverage generative AI technologies in their projects without the complexity of managing the underlying infrastructure. Founded by the creators of Apache TVM, an open-source ML stack for model performance and portability, OctoAI brings extensive expertise in optimizing machine learning models and systems to its platform offerings.

Catalog release signal

Latest ISO-dated model.release in this catalog is 2024-07-23 (686d ago).

Where this host wins

  • Coding: 7 tracked models with SWE-bench / HumanEval-style scores.
  • RAG: 4 tracked models with ruler / needle retrieval benchmarks.
  • Long-context: 4 tracked models with context-token or InfiniteBench-class signal.
  • Classification: 10 tracked models with MMLU-class moderation/safety coverage.

Getting started

Official entry points from seed metadata — confirm quotas and regions in vendor docs.

Compliance notes (verbatim seed excerpts)

Not yet verified from seed copy — no SOC/ISO/HIPAA-class sentences detected to quote verbatim.

Platform Overview

OctoAI's generative AI platform offers a versatile and scalable solution for running, tuning, and scaling various AI models. The platform's core feature, OctoStack, provides a turnkey production stack that enables model deployment in cloud or on-premises environments, ensuring data control and privacy. Users can access a library of pre-built templates for popular open-source models, facilitating quick development and integration into existing workflows. The platform also incorporates advanced performance optimizations, significantly improving GPU utilization and reducing operational costs, making it suitable for high-demand applications. The platform emphasizes user experience through easy-to-use APIs and customizable features. It employs automated hardware selection to optimize price-performance trade-offs, enabling efficient scaling of applications. With capabilities such as intelligent request routing, efficient auto-scaling, and reduced cold start times, the platform can handle millions of daily image generations seamlessly. Additionally, it offers fine-tuning options and dynamic customizations, allowing users to create unique, high-quality outputs tailored to their specific needs, thereby enhancing overall application performance and user satisfaction.

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

Available Models(13)

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All models available as Serverless

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