MandAPI is an AI tool that provides a unified, OpenAI-compatible gateway to multiple large language model providers, including OpenAI, Anthropic, Google, and DeepSeek. Its aim is to let businesses and developers build applications by choosing from a catalog of AI models without integrating separately with each provider. MandAPI also bills based on usage (tokens processed), offers model discovery and comparison tools, and provides developer-oriented support like streaming responses and a desktop app.
Key Features
Multi-Provider Model Access: MandAPI lets users pick among models from OpenAI, Anthropic, Google, DeepSeek, and more via a single API endpoint. Businesses can switch providers easily without changing SDKs.
Transparent Usage-Based Pricing: Prices are published per million tokens in Brazilian reais (BRL), with estimates also shown in USD. Rates vary by provider and model. For example, GPT-5.6 Sol costs BRL 1,00 per million input tokens and BRL 6,00 per million output tokens. DeepSeek V4.1 Flash is BRL 0,39 input and BRL 0,99 output per million tokens. These prices can offer substantial savings versus official provider rates.
Unified API Compatibility: MandAPI's endpoint is designed to be compatible with OpenAI-style APIs, so existing integrations often require minimal changes, such as switching the API base URL.
Ecosystem Tools: Includes MandAPI Connect, a desktop app for Windows that bundles tools like Claude Code and Codex CLI, with terminal access, auto-synced API keys, and background updates. It also includes a public Radar to track new models as they enter the catalog.
Developer-Friendly SDKs and Documentation: MandAPI provides guides, quick-start recipes, streaming and non-streaming response formats, API key management, error handling, and model discovery tools. It also supports local payment methods and multi-language interfaces.
Pricing
MandAPI charges based on usage rather than a flat subscription. Key points:
Model-Based Token Costs: Prices per model for input and output tokens are transparently listed in BRL. For instance, GPT-5.6 Sol is BRL 1,00 per million input tokens; Claude Opus 5 is BRL 2,00 per million input tokens; output costs are higher and vary by model. DeepSeek V4.1 Flash is among the most affordable for certain use cases.
Credits System: Users purchase prepaid credits in BRL, which are consumed as API usage accrues. Credits do not renew automatically and are exclusive to MandAPI services.
No Monthly Fee: There is no requirement for a recurring monthly subscription just for access; billing depends entirely on usage.
Currency & Tax Details: Prices are published in Brazilian reais; checkout shows the total including applicable taxes and available local payment methods.
For those in Latin America, MandAPI has expanded interfaces in Spanish and payment options tailored to regional preferences, including local bank transfers and digital wallets.
Who is it for?
MandAPI is well-suited for businesses, software teams, and decision-makers who need scalable access to AI models without being locked into one provider. Practical use cases include:
SaaS companies looking to add generative features such as chat, summarization, and code generation across different LLM providers, and wanting flexibility in model selection to balance cost, performance, or specialization.
Agencies or development shops that manage multiple AI-powered projects and prefer handling one API gateway rather than multiple vendor integrations.
Startups operating in Latin America or other regions where international payments, currency conversion, or lack of local support are obstacles. It helps by providing local payment methods and interfaces in Spanish and Portuguese.
Teams exploring new or emerging models: MandAPI's catalog and Radar tool help discover newly released models and compare price-performance side by side.
Enterprises that need to manage usage costs tightly. Pay-per-token billing and transparency help forecast and control expenditures.
Final thoughts
MandAPI offers a compelling option for businesses needing multi-model AI access with predictable costs, simplified integrations, and regional payment flexibility. Its open, usage-based pricing combined with a unified API can significantly reduce complexity, especially for teams juggling multiple LLM vendors. It may be less appealing if your use case demands extremely high volumes in USD-based plans, or if your preferred model isn't yet in MandAPI's roster. Overall, MandAPI is a strong fit for decision-makers seeking to experiment with or scale AI capabilities without committing to a single provider.
Visit the official website for more.
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