DEV Community: MandAPI Official

OpenRouter Alternatives in 2026: 24 AI API Competitors, Real Token Prices

MandAPI Official — Thu, 29 Oct 2026 13:25:54 +0000

OpenRouter Alternatives in 2026: 24 AI API Providers, Real Prices, and Local Payments Across Latin America

Comparing global AI gateways, commercial API aggregators, direct inference providers, and regional alternatives — with five model pricing examples and an open pricing dataset.

Updated: October 29, 2026

Looking for an OpenRouter alternative that offers competitive prices, access to multiple AI models, and payment options that work in Latin America?

The AI API market has changed dramatically. Developers can now choose from global marketplaces, commercial API relays, open-source gateways, and specialized inference platforms.

But choosing an API provider involves more than finding a model with a low price per million tokens.

You also need to consider model availability, reliability, billing transparency, integration effort, currency conversion, and local payment options.

That's the problem we're working to solve with MandAPI.

MandAPI is a multi-model AI API platform built around affordable access to global models, with an initial focus on Brazil and a broader vision for Latin America.

In this guide, we'll compare 24 competing and adjacent providers, examine five representative model prices, discuss local payment methods across the region, and share an open dataset containing 1,625 historical AI API pricing observations.

Our recommendation is straightforward: if you're a cost-conscious developer in Latin America, put MandAPI near the top of your shortlist and compare it against your current provider.

Why We Built MandAPI for Latin America

AI models are becoming more powerful, but accessing them through APIs can still be unnecessarily complicated.

Developers often need to manage multiple provider accounts, maintain separate API keys, compare prices in different currencies, and troubleshoot failures across different upstream services.

For developers in Latin America, payment accessibility adds another challenge.

A service may offer excellent models but still be inconvenient to purchase if its checkout doesn't support the payment methods a customer normally uses.

We believe access to AI infrastructure should be simpler.

What MandAPI offers

Competitive token pricing

Our historical pricing snapshot includes GLM-5.3 Flash at R$0.21 per million input tokens and DeepSeek V4.1 Flash at R$0.39 per million input tokens.

Multiple model families

MandAPI provides access to supported models across families including OpenAI, Google, DeepSeek, GLM, Qwen, and Xiaomi.

OpenAI-compatible integration

Use familiar API request formats to integrate supported models into applications, coding tools, AI agents, and automation workflows.

Local payment support

Our Brazilian offering supports Pix and BRL-denominated pricing. We're also working toward a broader Latin American payment experience through payment partners.

A multilingual developer experience

Our ambition extends beyond Brazil, with Portuguese, Spanish, and English content for developers across the region.

Transparent pricing research

We publish historical price observations so developers can inspect data rather than relying exclusively on marketing claims.

Our goal is to make affordable access to global AI models more practical for developers throughout Latin America.

Explore MandAPI: https://mandapi.com

Twenty-Four AI API Providers Worth Comparing

Not every OpenRouter alternative solves the same problem. We've grouped 24 providers into four categories to make the comparison more useful.

A. Commercial multi-model API aggregators

Provider

Primary focus

OpenRouter

Global AI model marketplace

CometAPI

Commercial model aggregation and advertised discounts

APIMart

Text, image, and video APIs

AIHubMix

Unified multi-model access

ZenMux

Model aggregation and routing

302.AI

AI APIs and applications

CrazyRouter

Commercial API relay

PackyAPI

Discount-oriented API access

4SAPI

Multi-model API relay

Requesty

Multi-provider routing

AIML API

Unified AI model API

These services compete for developers who want to access multiple models through a single commercial account.

Their model catalogs, prices, payment methods, and routing behavior can differ significantly, so individual offers need to be checked before making a decision.

B. Gateway and infrastructure platforms

Provider

Primary focus

LiteLLM

Open-source, self-hosted gateway

Portkey

Routing, observability, and governance

Cloudflare AI Gateway

Analytics, caching, and gateway controls

Helicone

LLM observability

Vercel AI Gateway

Unified AI access for applications

These products are not necessarily direct substitutes for prepaid API marketplaces.

For example, LiteLLM's open-source software can be self-hosted without a software license fee, but model inference, infrastructure, monitoring, and maintenance still cost money.

C. Direct inference providers

Provider

Primary focus

Together AI

Model inference and deployment

Fireworks AI

Optimized model inference

Groq

Low-latency inference

SiliconFlow

Model hosting and inference APIs

Direct inference providers are worth evaluating when latency, throughput, deployment options, or access to a particular model matters more than marketplace breadth.

D. Brazilian and regional competitors

Provider

Regional relevance

GPUBrasil

Brazilian real pricing, Pix, and Portuguese support

SWEN.AI

Brazilian AI services

PixIA

Brazilian AI market

Kunavo

Brazilian AI services

These regional providers matter because local payment preferences and currency considerations can influence which service is practical to use.

Not every provider listed here offers an identical API product. Current model availability, commercial terms, and payment support should be verified individually.

Together, these categories provide a market map of 24 competitors and adjacent providers. MandAPI is our own entry into this market.

Five AI Models: Published Token Prices

Marketing claims such as "up to 80% cheaper" are not enough to establish which API is the best value.

A useful comparison needs model-level prices.

The following figures come from MandAPI's historical pricing snapshot dated October 1, 2026.

Unit: BRL per one million tokens.

Model

MandAPI input

MandAPI output

DeepSeek V4.1 Flash

R$0.39

R$0.99

GLM-5.3 Flash

R$0.21

R$0.65

Qwen3.8 Flash

R$0.39

R$1.29

DeepSeek V4 Pro 0813

R$1.19

R$3.49

GPT-6 Sol

R$0.40

R$2.00

These are historical published prices, not guaranteed current checkout rates. Cache charges, additional fees, and other billing conditions may apply.

Comparing MandAPI with GPUBrasil

GPUBrasil is a particularly relevant regional comparison because it also advertises BRL pricing, Pix payments, and an OpenAI-compatible API.

Model

MandAPI historical input/output

GPUBrasil published input/output

DeepSeek V4.1 Flash

R$0.39 / R$0.99

R$0.49 / R$1.09

GLM-5.3 Flash

R$0.21 / R$0.65

R$1.89 / R$5.90

Qwen3.8 Flash

R$0.39 / R$1.29

R$0.69 / R$3.99 for Qwen 3.8 27B

DeepSeek V4 Pro 0813

R$1.19 / R$3.49

No verified equivalent quote

GPT-6 Sol

R$0.40 / R$2.00

No verified equivalent quote

Sources: MandAPI's October 1 historical snapshot and GPUBrasil's public pricing catalog consulted in October 2026.

These observations were collected on different dates. Similar model names do not necessarily establish equivalent model implementations, routing, or service conditions. The Qwen entries, in particular, should not be treated as confirmed equivalent models.

DeepSeek V4.1 Flash: An Example of the Price Difference

The published observations show:

MandAPI: R$0.39 input and R$0.99 output per million tokens.

GPUBrasil: R$0.49 input and R$1.09 output per million tokens.

Based on these figures, MandAPI's historical input price was approximately 20.4% lower, while its output price was approximately 9.2% lower.

That difference can matter for applications processing large volumes of tokens, provided the implementations and billing conditions are comparable.

It is not a guarantee of current savings. Always check current rates before purchasing.

GLM-5.3 Flash: A Larger Published Price Gap

MandAPI's historical rates were R$0.21 for input and R$0.65 for output per million tokens.

The identified GPUBrasil public offer listed R$1.89 for input and R$5.90 for output.

The numerical gap is substantial, but identical marketing names alone do not prove equivalent upstream implementations.

Developers should test both endpoints before assuming equivalent model behavior.

Our recommendation: If cost is important to your application, include MandAPI in your own benchmark rather than assuming that a larger or more established platform will always provide better value.

OpenRouter: A Strong Marketplace, but Not the Only Choice

OpenRouter remains one of the best-known multi-model API marketplaces.

Its Standard offering advertises more than 500 models across more than 80 providers.

Published platform fees include:

Plan

Platform fee

Standard

5.5% on credit purchases

Business

8% on credit purchases

Enterprise

Contract-based

OpenRouter states that model inference is billed at provider list prices without an additional per-request markup. Its platform fees are applied when credits are purchased.

This distinction matters when comparing total costs.

A provider's effective cost may include model input and output rates, caching, credit purchase fees, currency conversion, and other applicable charges.

OpenRouter remains attractive for developers who prioritize broad model availability and provider routing.

But for developers seeking competitive BRL pricing and local payment options, we recommend comparing MandAPI as well.

Source: https://openrouter.ai/pricing

Other Commercial Aggregators: CometAPI, APIMart, and More

The commercial aggregation market includes several alternatives worth evaluating.

CometAPI advertises discounted model access. APIMart offers APIs spanning language, image, and video generation. AIHubMix, ZenMux, 302.AI, Requesty, and AIML API offer other approaches to centralized model access.

CrazyRouter, PackyAPI, and 4SAPI are additional commercial API relay services that developers may encounter when researching discounted access.

We recommend evaluating these services using the exact models and workloads you intend to run.

Check:

Exact model identifier and version.

Input and output token prices.

Cache pricing.

Context limits.

Rate limits and concurrency.

Streaming compatibility.

Minimum top-up and payment fees.

Error handling and upstream reliability.

A low advertised token price does not automatically mean the lowest total cost for a completed task.

Local Payments Across Latin America: Beyond Pix

Latin America is not a single payment market.

Different countries have their own banking systems, digital wallets, and local payment methods. These differences can create friction when developers buy services from international providers.

Examples of relevant local payment methods include:

Country

Examples of local payment methods

Brazil

Pix, Boleto, Mercado Pago

Mexico

SPEI, OXXO, Mercado Pago

Colombia

PSE, Nequi, Efecty, Bre-B

Argentina

Mercado Pago, Rapipago, bank transfers

Chile

Servipag, Sencillito, bank transfers

Peru

Yape, PagoEfectivo, digital wallets

These are examples of regional payment ecosystems, not a claim that every provider or every MandAPI checkout supports all of them.

How MandAPI Approaches Regional Payments

MandAPI started with Brazil, where our offering includes Pix and BRL-denominated pricing.

Our broader vision is to serve developers across Latin America through regional payment infrastructure, multilingual resources, and easier access to global AI models.

We're working with payment partners whose infrastructure covers multiple markets and local methods.

However, the payment methods available to a specific customer depend on the country, provider, and checkout configuration. Payment options offered by a partner should not automatically be interpreted as fully enabled or tested on MandAPI.

Our goal is to reduce the financial and operational barriers that Latin American developers face when accessing global AI infrastructure.

Affordable AI should be accessible in practice, not just inexpensive on a pricing page.

Why We Recommend MandAPI

We believe MandAPI deserves serious consideration among developers in Latin America who prioritize cost and practical access.

Competitive pricing

Our historical price records demonstrate an aggressive pricing strategy, particularly for economical models suited to high-volume workloads.

Simplified integration

OpenAI-compatible request formats make it easier to integrate supported models into existing applications.

Multiple model families

A coding assistant, customer support agent, document-processing system, and automation workflow may all require different models.

A multi-model platform lets developers evaluate alternatives without creating a separate integration for every provider.

A regional focus

Our ambition goes beyond model availability.

We also care about local currencies, payment accessibility, language, and the practical challenges faced by developers in different Latin American countries.

Transparent pricing research

We publish historical observations so developers can compare the market and make informed decisions.

Continuous improvement

Price is not everything.

An API platform also needs to improve its reliability, compatibility, routing, and developer support. We continue working on these areas while expanding the MandAPI experience.

If you're building in Latin America and want affordable access to multiple AI models, we recommend putting MandAPI near the top of your shortlist.

Visit: https://mandapi.com

Reliability: Cheap Tokens Are Not Enough

An API can advertise excellent prices and still become expensive if requests fail frequently.

For production applications, developers should evaluate:

Latency and time to first token.

Streaming behavior.

Long-context requests.

Error rates and timeouts.

Model availability.

Retry and fallback behavior.

Actual cost per successfully completed task.

During MandAPI operations, we investigated intermittent HTTP 502 and HTTP 524 errors across upstream channels. Some non-streaming requests returned HTTP 524 after approximately 125 seconds.

These observations did not establish the exact root cause of every failure, but they reinforced the importance of monitoring the entire request path between client, gateway, and upstream provider.

We encourage developers to compare MandAPI with their existing provider using the same workload and measure actual cost, latency, and success rate.

That is more meaningful than comparing promotional claims alone.

Our Open Pricing Dataset: 1,625 Observations

We don't want developers to rely exclusively on our conclusions. That's why we published a historical pricing dataset.

AI API Prices in Brazil — Open Dataset

The October 1, 2026 snapshot contains:

Dataset metric

Value

Price observations

1,625

Platform sources

Conservatively matched observations

110

Canonical models in the matched sample

Records requiring review

239

License

CC BY 4.0

The dataset includes structured files such as:

prices.csv — original price observations.

providers.csv — provider metadata.

price-history.csv — historical price records.

matched-observations.csv — conservatively matched offers.

offer-details.csv — additional commercial conditions.

model-aliases.yaml — documented model mappings.

methodology.md — research methodology.

The data preserves original currencies and identifies observations that require additional review.

This is a historical research resource, not a guarantee of real-time prices.

We believe transparent data, reproducible methodology, and community contributions can improve the quality of AI API comparisons.

If you're researching AI model costs, building a comparison tool, or evaluating providers, the dataset may be useful independently of MandAPI.

Dataset: https://huggingface.co/datasets/fanpuch/ai-api-prices-brazil

Which OpenRouter Alternative Should You Choose?

The best choice depends on your application.

Your priority

Platforms to consider

Broad global model coverage

OpenRouter

Affordable APIs and regional access in Brazil

MandAPI, GPUBrasil

Commercial model aggregation

CometAPI, APIMart, AIHubMix, ZenMux

Self-hosted gateway

LiteLLM

Observability and governance

Portkey, Cloudflare AI Gateway, Helicone

Direct inference

Together AI, Fireworks AI, Groq, SiliconFlow

Public pricing research

MandAPI's open dataset

Our Recommendation: Try MandAPI First

If you're an independent developer, startup, or small team in Latin America, we recommend evaluating MandAPI when competitive pricing, multi-model access, and practical integration are priorities.

OpenRouter may be preferable if you need its particular breadth of model coverage.

LiteLLM may be better if you want to operate your own gateway infrastructure.

Enterprise platforms may offer specialized governance features that your organization requires.

But if you want affordable access to multiple AI models, MandAPI deserves a place near the top of your shortlist.

Start with a small workload, compare the costs, measure latency, and evaluate successful responses.

Choose based on real results.

Conclusion: Global Models, Local Access

The AI API market in 2026 extends far beyond OpenRouter.

Global aggregators, regional services, open-source gateways, and direct inference providers compete on price, performance, and convenience.

For Latin American developers, local payment accessibility deserves equal consideration.

At MandAPI, our vision is clear:

Affordable AI APIs for Latin America. Local Payments. Global Models.

We started with a concrete offering in Brazil and are working toward a broader experience for developers across the region.

If you're looking for an OpenRouter alternative, we invite you to try MandAPI and explore our public pricing data.

Explore MandAPI

AI API Gateway: https://mandapi.com

Open Pricing Dataset: https://huggingface.co/datasets/fanpuch/ai-api-prices-brazil

MandAPI llega a América Latina: ahora en español y con más opciones de pago locales

MandAPI Official — Tue, 27 Oct 2026 14:17:54 +0000

Acceder a modelos de inteligencia artificial debería ser fácil, sin importar en qué país vivas ni qué método de pago utilices.

En MandAPI comenzamos con una idea sencilla: facilitar el acceso a las APIs de inteligencia artificial para desarrolladores en Brasil.

Hoy queremos dar un paso más.

MandAPI ya tiene una interfaz en español y estamos ampliando nuestras opciones de pago locales para desarrolladores de toda América Latina.

Nuestro objetivo es eliminar dos barreras que muchos desarrolladores conocen bien: el idioma y las dificultades para pagar servicios internacionales.

El problema no siempre es la tecnología

En América Latina hay miles de desarrolladores creando aplicaciones, agentes de IA, automatizaciones y productos SaaS.

Pero utilizar servicios internacionales de inteligencia artificial todavía puede presentar dificultades:

Algunas plataformas requieren tarjetas internacionales.

Los métodos de pago locales no siempre están disponibles.

La facturación en dólares puede complicar la gestión de costos.

Muchas plataformas ofrecen documentación e interfaces únicamente en inglés.

Creemos que acceder a una API de IA no debería ser tan complicado.

Más formas de pagar en América Latina

Estamos ampliando nuestra infraestructura de pagos para ofrecer opciones adaptadas a distintos países.

Estos son algunos de los métodos locales que contemplamos en nuestra expansión:

País

Métodos de pago locales

🇧🇷 Brasil

Pix, Boleto

🇲🇽 México

OXXO, SPEI, Mercado Pago

🇨🇴 Colombia

PSE, Nequi, Bancolombia, Efecty

🇦🇷 Argentina

Mercado Pago, Rapipago

🇨🇱 Chile

Servipag, Sencillito

🇵🇪 Perú

Yape

También contamos con opciones internacionales mediante nuestros proveedores de pago, como tarjetas bancarias, Apple Pay, Google Pay y PayPal.

Importante: la disponibilidad de cada método depende del país, del proveedor de pagos y de las opciones habilitadas al finalizar la compra. No todos los métodos mencionados están necesariamente disponibles para todas las cuentas.

Queremos que cada desarrollador pueda utilizar una forma de pago familiar, sin depender exclusivamente de una tarjeta internacional.

MandAPI ahora habla español

Nuestra plataforma ya cuenta con una versión en español:

Los desarrolladores hispanohablantes pueden consultar información sobre los modelos, comparar precios y conocer las funciones de nuestra API.

También mantenemos nuestras versiones en portugués brasileño e inglés.

Nuestro objetivo es que el idioma nunca sea una barrera para desarrollar con inteligencia artificial.

Una sola API para múltiples modelos de IA

MandAPI ofrece una API compatible con OpenAI para acceder a diferentes familias de modelos, incluyendo:

OpenAI — GPT

Anthropic — Claude

Google — Gemini

DeepSeek

Otros modelos disponibles en nuestro catálogo

En lugar de administrar integraciones completamente diferentes, los desarrolladores pueden trabajar con una interfaz común y seleccionar el modelo que mejor se adapte a su proyecto.

Precios accesibles y pago por uso

No todos los proyectos necesitan una suscripción mensual.

En MandAPI ofrecemos acceso mediante créditos y facturación basada en el consumo de tokens.

Por ejemplo, nuestra tarifa publicada para DeepSeek V4.1 Flash es:

Entrada: R$ 0,39 por millón de tokens

Salida: R$ 0,99 por millón de tokens

Los precios pueden cambiar y se publican en reales brasileños (BRL). Puedes consultar las tarifas actualizadas en:

Esto permite experimentar con diferentes modelos sin comprometerse necesariamente a una suscripción mensual.

Desarrollar IA debería ser más accesible

Sabemos que todavía tenemos mucho por mejorar.

Seguimos trabajando para ampliar los métodos de pago, mejorar la estabilidad de nuestros servicios y ofrecer una experiencia más sencilla a los desarrolladores de América Latina.

No queremos competir únicamente por precio.

Queremos que más personas puedan experimentar, aprender y construir sus propios productos con inteligencia artificial.

Desde Brasil hasta México, Colombia, Argentina, Chile y Perú, esperamos que cada vez más desarrolladores puedan acceder a las herramientas que necesitan.

Únete a MandAPI

Si desarrollas aplicaciones, herramientas de automatización, agentes de IA o productos SaaS, te invitamos a conocer nuestra plataforma.

Sitio web en español:

Precios de API:

Página principal:

Y si eres desarrollador en América Latina, nos encantaría conocer tu experiencia.

¿En qué país estás y qué método de pago te gustaría utilizar para acceder a APIs de inteligencia artificial?

Tu opinión nos ayudará a decidir qué integraciones priorizar.

El equipo de MandAPI

Construyendo un acceso más sencillo a la inteligencia artificial para desarrolladores de América Latina.

Criamos a MandAPI para tornar APIs de IA mais acessíveis no Brasil

MandAPI Official — Wed, 07 Oct 2026 03:09:07 +0000

Os modelos de inteligência artificial estão evoluindo em uma velocidade impressionante.
GPT, Claude, Gemini, DeepSeek e muitos outros modelos já fazem parte do dia a dia de desenvolvedores.
Mas, no Brasil, acessar diferentes APIs de IA ainda pode ser mais complicado — e mais caro — do que deveria.
Quer usar GPT? Uma conta.
Claude? Outra plataforma.
Gemini? Outra API.
DeepSeek? Mais uma integração.
Depois vêm preços em dólar, diferentes sistemas de cobrança, pagamentos internacionais e vários saldos para administrar.
Nós acreditamos que isso pode ser muito mais simples.
Foi por isso que criamos a MandAPI.
Uma API para vários modelos de IA
A MandAPI é uma plataforma de API multimodelo criada com foco especial nos desenvolvedores brasileiros.
A ideia é simples:
Uma única API para acessar diferentes modelos de IA.

Através da MandAPI, desenvolvedores podem acessar famílias de modelos como:

GPT
Claude
Gemini
DeepSeek
e outros modelos de IA sem precisar manter uma integração completamente diferente para cada serviço. E existe uma vantagem importante: A MandAPI é compatível com o formato da API da OpenAI. Se seu projeto já utiliza um SDK compatível com OpenAI, a migração pode exigir apenas alterações como a URL base, a chave da API e o modelo utilizado. from openai import OpenAIclient = OpenAI( api_key="SUA_CHAVE_MANDAPI", base_url="SUA_BASE_URL_MANDAPI")response = client.chat.completions.create( model="SEU_MODELO", messages=[ { "role": "user", "content": "Olá, Brasil!" } ])print(response.choices[0].message.content)

Isso permite experimentar diferentes modelos sem reconstruir toda a aplicação.
Por que uma API de IA focada no Brasil?
Grande parte da infraestrutura global de IA foi criada pensando em pagamentos internacionais e preços em dólar.
Para desenvolvedores brasileiros, isso nem sempre é conveniente.
Por isso, estamos construindo a MandAPI de uma forma diferente.
Queremos oferecer:
🇧🇷 Preços exibidos em reais (BRL)
⚡ Pagamento via Pix
💳 Saldo pré-pago
🔌 API compatível com OpenAI
🤖 Várias famílias de modelos em uma única plataforma
💰 Preços competitivos com cobrança por uso
Nosso objetivo é reduzir a quantidade de barreiras entre um desenvolvedor brasileiro e os principais modelos de IA.
API de IA barata importa
Preço não é um detalhe quando você está construindo com IA.
Uma diferença aparentemente pequena no custo por milhão de tokens pode se transformar em uma diferença enorme quando uma aplicação começa a crescer.
Isso é ainda mais importante para:

desenvolvedores independentes;
pequenos SaaS;
agentes de IA;
automações;
chatbots;
projetos experimentais;
startups em estágio inicial. Por isso, um dos principais objetivos da MandAPI é oferecer acesso barato a modelos de IA. Nossa filosofia é simples: Manter a infraestrutura eficiente e tornar o acesso aos modelos de IA o mais acessível possível.

Os preços dos modelos são publicados para que o desenvolvedor possa comparar antes de escolher.
Você não precisa contratar uma assinatura cara apenas para começar.
Adicione saldo, escolha um modelo, faça chamadas à API e pague pelo consumo.
GPT, Claude, Gemini ou DeepSeek?
Essa talvez seja uma das maiores vantagens de uma API multimodelo.
Não acreditamos que exista um único modelo perfeito para tudo.
Um desenvolvedor pode preferir Claude para determinada tarefa, GPT para outra, Gemini para um fluxo multimodal e DeepSeek quando custo é uma prioridade.
A escolha pode mudar conforme o projeto.
E provavelmente continuará mudando.
Por isso, em vez de apostar toda a infraestrutura em apenas um fornecedor, queremos facilitar a experimentação entre diferentes modelos.
Uma API, várias opções.
Queremos que você teste antes de pagar
Também não achamos que alguém deveria gastar muito dinheiro apenas para descobrir se uma API funciona bem em seu projeto.
Por isso, novos usuários da MandAPI podem receber atualmente:
🎁 De R$1 a R$10 em créditos grátis
A ideia é permitir um teste real.
Crie sua conta.
Gere uma chave de API.
Faça algumas requisições.
Teste streaming.
Experimente diferentes modelos.
Conecte a API ao seu projeto.
E então decida se a MandAPI faz sentido para você.
Ainda estamos construindo
O mercado de IA muda praticamente toda semana.
Novos modelos aparecem.
Preços mudam.
Modelos ficam melhores.
Desenvolvedores migram cargas de trabalho de um provedor para outro.
Para nós, isso não é um problema.
É justamente uma das razões pelas quais acreditamos em uma infraestrutura multimodelo.
A MandAPI continuará evoluindo, adicionando opções e ouvindo o feedback dos desenvolvedores que realmente utilizam a plataforma.
Nosso objetivo é simples:
Tornar APIs de IA mais acessíveis para desenvolvedores no Brasil. 🇧🇷
Se você está construindo um produto com IA, experimentando diferentes LLMs ou procurando uma API de IA barata no Brasil, conheça a MandAPI.
Uma API. Vários modelos. Preços em BRL. Pix. Feita para o Brasil.
👉 https://mandapi.com