Token Sales — Large Model Inference as a Service

Standardized Token sales services powered by mainstream large models including DeepSeek-V4, Kimi K2, GLM-5.1, and MiniMax-M2.

Functional Overview

Standardized Token sales services powered by mainstream large models including DeepSeek-V4, Kimi K2, GLM-5.1, and MiniMax-M2. Customers connect through a unified API and pay by actual Token consumption, with no need to build their own model services. The platform features intelligent routing, cost optimization, real-time metering, and private deployment options, making large model usage as simple, transparent, and controllable as water and electricity.

Customer Pain Points

  • Opaque Token pricing: API pricing varies significantly across model providers (e.g., DeepSeek-V4-Pro ¥3/million input tokens, Kimi K2 ¥6.5), making it hard for customers to compare options and control budgets.
  • High cost of switching between multiple models: Different business scenarios require different models (e.g., Gemini Flash for inference, Opus for complex tasks), yet a unified gateway and routing strategy is lacking.
  • Uncontrollable costs: Sudden traffic spikes cause Token consumption to surge, resulting in month-end bills far exceeding expectations, with no real-time alerts or budget caps.
  • Compliance and data security: Public APIs carry data leakage risks; government and enterprise customers require inference to run in private or dedicated environments.

Solution Advantages

  • Unified multi-model access: A unified API gateway supporting DeepSeek-V4, Kimi K2, GLM-5.1, MiniMax-M2, and more, allowing customers to switch models with a single line of code.
  • Transparent pricing and cost forecasting: Input/output Token prices are clearly listed (e.g., ¥3.00/million input tokens), with monthly consumption forecasts and budget recommendations for precise cost control.
  • Intelligent routing and cost optimization: Automatically routes tasks to the most cost-effective model based on complexity (simple tasks to Flash, complex tasks to Pro), reducing overall costs by over 30%.
  • Real-time metering and alerts: A real-time Token consumption dashboard with budget thresholds; automatic alerts or service suspension when thresholds are exceeded to prevent budget overruns.
  • Private/dedicated deployment: Supports deployment in customer-exclusive resource pools; data never leaves the customer's VPC, meeting government and enterprise compliance and security requirements.

Architecture Diagram

Architecture Diagram