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AI inference · built for business

Intelligence for your product.Privacy for your data.

Connect your application to Huge AI. Language models for conversations, reasoning and coding, with API integration and the security your business needs.

OpenAI-compatible API. No GPUs to manage.

FROM YOUR APP TO THE MODELAPI
Your applicationAssistants, agents and products
Huge AI InferenceIntegration · models · privacy
DeepSeekReasoning
QwenCode
GLMCoding
ZDR on eligible models and routes
ISO 27001

Information security management

SOC 2 Type II

Independently audited controls

Zero Data Retention

No content retention on eligible routes

The right model for every task

Models and pricing

Compare quality, context and prices in BRL to choose the right text model for your application.

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Prices in BRL per 1 million tokens.

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Ranking within this catalog; higher scores indicate better index results. Evaluated reasoning configurations vary. — means no confirmed score for this version.

A familiar integration

Your code already knows the way.

Use the OpenAI-compatible Chat Completions format to integrate language models. Set the credentials, endpoint and model for your agreement.

  1. 01

    Connect your application

    Configure the endpoint and keep your API key on the server.

  2. 02

    Choose your model

    Balance quality, cost and privacy requirements for your task.

  3. 03

    Build the experience

    Bring responses into your product. Streaming and tools depend on the model.

Plan my integration with Huge
INTEGRATION EXAMPLE

Python 3.10+ · Install the SDK: pip install openai

import os
from openai import OpenAI

client = OpenAI(
    base_url=os.environ["HUGE_AI_BASE_URL"],
    api_key=os.environ["HUGE_AI_API_KEY"],
)

response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4.1-Flash",
    messages=[{"role": "user", "content": "Explain AI inference in one sentence."}],
)

print(response.choices[0].message.content)

Examples run on your server. Set HUGE_AI_BASE_URL and HUGE_AI_API_KEY with your activation details and confirm the contracted model identifier. Keep the key on the server; features vary by model. Icon credits

No content retention

On ZDR routes, prompts and responses are processed to fulfill the request, without persistence after processing.

Your data does not train the models

On eligible routes, content submitted for inference is not used to train models.

Content and metadata are different

Usage metering, billing and operational records may exist without storing the text of prompts and responses.

ZDR depends on the model, endpoint and contract. Batch processing, caching and third-party models may have separate policies. Request privacy terms from Huge.

Before you integrate

Answers for your team.

What to consider when bringing AI inference into your business.

Which models are in the initial selection?

The initial selection includes 10 models for text input and output, including Claude, DeepSeek, Qwen, GLM, Kimi, MiMo, Nemotron and GPT OSS. Availability and features are confirmed per model in your proposal.

Does ZDR cover every model and API?

No. Eligibility is defined by model, endpoint and configuration. Image generation, batch processing, caching and third-party services may have exceptions. Your contracted route needs to meet your project’s privacy requirements.

What is the scope of ISO 27001 and SOC 2 Type II?

Huge and participating providers have their own ISO 27001 certification scopes and SOC 2 Type II reports. Request the documents applicable to your agreement to assess the entities, services and period covered.

How do I get started?

Your proposal considers the model, estimated volume, usage pattern, support and privacy requirements. Our team helps define the integration and provides pricing before you sign up.

Talk to a specialist

From an idea to your next integration.

Tell us what you want to create. Huge helps define models, usage and privacy requirements for your application.

Models for your application

Compare quality, context and features to choose the right models for your use case.

Usage and costs in BRL

Plan your token volume and estimate the cost of your operation.

Privacy from the start

Align security requirements and Zero Data Retention eligibility by model and route.

Let’s talk about your project

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What happens next?

Our team will contact you to understand your needs and discuss the next steps.