A Growing Choice of Models
Models differ in strength across text generation, complex reasoning, multimodal work and specific business tasks, so enterprises need to choose on demand and switch flexibly.
FinAMH
One entry point to connect and manage
the AI models your business needs
Connect multiple AI models through a unified API and centrally manage model routing, usage, cost and access permissions, giving enterprise AI applications a stable model service layer.
Spiral angle
Enterprises Need Unified Access and Management as Multiple Models Become Standard
Different models suit different tasks, but enterprises should not rebuild integration and management for every one of them. Xingzhitong provides a unified model service layer that centralizes model access, routing and governance, making multi-model applications simpler and more controllable.
AI moves deeper into the business
As AI moves from experimentation into daily operations, enterprises need not only the right models but also stable, continuous model services.
Growing Enterprise Management Requirements
Model costs, access permissions, credentials and call records need centralized management to avoid fragmented administration and runaway costs.
Connect multiple AI models in one place
Covering text generation, reasoning and multimodal tasks through a unified API, reducing duplicate development and model switching costs.
Multimodal · 4 curated models
gemini-3.8-flash
GoogleA natively multimodal large language model and Google's new-generation high-performance Flash model, with a focus on long-horizon coding, autonomous agents and complex enterprise workflows.
qwen3.8-max
Alibaba · QwenIts main strengths are across-the-board gains in complex reasoning, code development, agent execution and multimodal understanding, with support for text, image and video inputs and a 1 million token context window.
gpt-6.1-sol
OpenAIA text-and-image input reasoning model and a major upgrade to OpenAI GPT-6 Sol, aimed at complex coding, computer use and professional work, bringing high-end reasoning capability further down into more cost-efficient models.
glm-5.3-flash
Zhipu · Z.aiGLM-5.3-Flash is a natively multimodal model from Z.ai, suited to efficient code development and long-horizon agent tasks.
Keep Applications from Depending on a Single Model Route
Intelligently orchestrate resources across multiple routes and channels, switching flexibly during disruptions to keep model services continuous and large-scale usage resilient.
See AI usage clearly, keep usage costs in hand
Usage Analytics
Track model calls at any time.
Budget Control
Set call limits and budget thresholds as needed.
Anomaly Alerts
Get alerted promptly when usage looks abnormal.
Cost Optimization
Optimize call costs using model pricing, caching and routing strategies.
From scattered API keys to unified enterprise AI governance
Manage quotas, access permissions and call records through a corporate account, making enterprise AI usage more controllable.
Permission Management
Manage access permissions on demand and control model usage.
Quota Allocation
Allocate quotas centrally and keep costs under control.
Team Isolation
Keep team usage isolated, with clear attribution of usage and cost.
Usage Traceability
Review usage and costs in one place, with a traceable record.
High Performance
High Concurrency and Automatic Load Balancing
Transparent Billing
Usage-Based Billing with Real-Time Usage Visibility
Team Management
Multi-User Management and Flexible Permissions
How Enterprises Manage Model Services with FinAMH
See how enterprises connect models, manage requests and control costs through FinAMH.
Connect Multiple Models and Start Building Enterprise AI Applications
Give agents, AI customer service, developer tools and other applications unified model access and management, so teams can focus on business innovation and application development.