Try new console. Sign up Now!

One API.Leading AI Models.Sustainable Pricing.

A Model-as-a-Service platform for LLM, image, video, and audio models, with unified APIs, discounted pricing, and enterprise-grade guarantees.

DeepSeekGeminiQwenOpenAIAnthropicZ.aiKimiByteDanceZhipuHunyuanAi2Black Forest LabsLumaPixVerseKlingMinimaxClaudeElevenLabsMetaMoonshotAIViduDeepSeekGeminiQwenOpenAIAnthropicZ.aiKimiByteDanceZhipuHunyuanAi2Black Forest LabsLumaPixVerseKlingMinimaxClaudeElevenLabsMetaMoonshotAIVidu

Featured Models and Coverage

Access the world's most widely used closed-source models and the most popular open-source models, all through one API.

All models are available through a single, consistent API design.

Start Now

Not Just An API Router.

Reliable results in production AI with GMI MaaS, our unified model delivery layer.

Right Models, Every Time

Get model access with wider coverage than typical aggregators, including leading proprietary and open-source LLMs and multimodal models.

Free Yourself from Infra Burden

When the models are fully hosted and operated by GMI, AI builders can focus on their core value proposition and products.

Full Modality Coverage

One platform supporting LLM, image, video, and audio models for multimodal AI applications.

Cost Efficient by Design

Unlock sustainable inferencing with platform features including KVcache reuse, scheduling, load planning, and more.

Same Models, Stronger Economics.

Reduce inference spend without changing a single line of application code.

Discounted pricing for major proprietary models like GPT, Claude, Gemini, Qwen, Kling and more.

No vendor lock-in, ensuring we're committed to keeping you happy

Centralized billing with a single invoice across all models

Going from Demos to Production

  • Guaranteed SLAs with uptime and performance commitments
  • Seamless switch between models
  • Zero-retention configurations for sensitive workloads
  • Per-client customization across pricing, policies, and deployment

GMI hosts and operates critical models on its own datacenter infrastructure, ensuring consistent performance that routing-only platforms cannot guarantee.

Production Visual

Client Voice

Banking Service
Financial ServicesBanking

Banking Service

A leading global bank adopted GMI Cloud's Model-as-a-Service (MaaS) platform to deploy secure AI applications across risk analytics, fraud detection, and financial modeling. By leveraging managed model endpoints and scalable API infrastructure, the institution accelerated AI deployment while maintaining strict regulatory compliance and operational resilience in highly regulated environments.

OpenResty
CybersecuritySecurityWeb Infrastructure

OpenResty

OpenResty integrated GMI Cloud's MaaS platform to power advanced security analytics and real-time traffic intelligence. With managed model serving and elastic inference capacity, OpenResty reduced infrastructure complexity and enabled seamless AI integration into its web infrastructure stack.

Utopai
Generative AIMedia & Entertainment

Utopai

Utopai leveraged GMI Cloud's MaaS infrastructure to support cinematic-scale AI video generation through scalable inference APIs. By abstracting infrastructure management and optimizing model performance, Utopai streamlined creative workflows and accelerated production-ready AI deployment.

Confidential Client

Generative AIAI Platform

A leading generative AI platform adopted GMI Cloud's MaaS solution to simplify large-scale model deployment and real-time inference. Managed service architecture enabled faster iteration cycles, predictable scaling, and reduced operational overhead across AI-powered applications.

Trusted by Leading AI Teams

Higgsfield

Higgsfield uses GMI Cloud MaaS to serve real-time generative video workloads with lower latency, lower cost, and elastic production scaling.

  • 65% lower p95 inference latency
  • 45% lower compute cost
  • 99.9% request success rate under peak traffic
  • Elastic scaling under production demand
Eigen AI

Eigen AI combines GMI Cloud MaaS and dedicated endpoints to support fast model access across production serving, benchmarking, and evaluation.

  • Uses Gemini and Anthropic APIs through MaaS
  • Production dedicated endpoints in place
  • Supports both serving and evaluation workloads
WiAdvance

WiAdvance uses GMI Cloud's managed AI endpoints to make model access easier for downstream enterprise and public-sector customers in Taiwan.

  • Ready-to-use AI endpoints
  • Supports Gemini, Claude, and GPT access
  • Simplifies adoption through a channel partner model
  • Flexible usage reporting for downstream operations

FAQ

Get quick answers to common queries in our FAQs.

Model-as-a-Service (MaaS) allows developers to access AI models through APIs without managing infrastructure. Instead of deploying and maintaining GPU clusters, teams can call hosted models through a simple API interface. The platform handles scaling, GPU allocation, and model execution automatically.

Serverless AI inference is ideal for early-stage development, unpredictable workloads, or applications with variable traffic. It allows teams to start quickly without provisioning infrastructure and only pay for usage. As workloads grow, deployments can scale automatically to handle increased demand.

MaaS platforms provide pre-deployed models, standardized APIs, and built-in scaling capabilities. This allows developers to focus on building applications rather than managing infrastructure. Teams can quickly integrate AI features such as chatbots, image generation, or video processing into their products.

Serverless deployment reduces operational complexity by eliminating the need to manage GPU infrastructure. It also allows applications to scale automatically based on demand and avoids paying for idle compute resources. This makes it easier for startups and developers to experiment with AI models.

Many teams begin with MaaS for rapid experimentation and early product development. As usage grows, they may migrate to dedicated endpoints or GPU clusters for higher throughput and lower latency. Platforms like GMI Cloud allow teams to transition between these deployment models without changing APIs.

Ready to choose a model?

Start Now