Chinese AI Models for Cursor

Use Chinese AI Models with Cursor

Compare coding-focused Chinese AI models, review compatibility, choose the right token pack, and follow a Cursor-focused setup guide.

Find My Model Browse Token Packs
  • Coding-focused models
  • Trial packs available
  • Setup guides included
  • Clear compatibility status

Compatibility may vary by Cursor version, model provider, endpoint, region and Cursor feature.

Cursor interface comparing Chinese AI coding models

01const workflow = detectCursorTask(project);

02const needs = ["reasoning", "debugging", "cost"];

03const candidates = ["DeepSeek", "Qwen", "GLM"];

04return recommendModel(workflow, needs);

05setupGuide.include("Cursor endpoint checks");

06pack.openProductPage("/products/deepseek-cursor-token-pack");

Analysing workflow
DeepSeek Recommended Qwen Multilingual GLM Large repos

Workflow fit

Why Cursor Users Explore More AI Model Options

Different development workflows require different balances of coding quality, reasoning, context, language support and cost.

01

High model usage costs

Frequent coding sessions can make token usage feel unpredictable, especially across long refactor or debugging cycles.

02

Need stronger code reasoning

Some tasks need a model that can inspect error paths, explain behavior and propose a precise fix.

03

Need multilingual development support

International teams may need code comments, explanations and documentation across multiple languages.

04

Working with large repositories

Large projects require context-aware analysis across files, folders, conventions and hidden dependencies.

05

Need more model flexibility

A single model choice rarely fits every code generation, review, research and documentation workflow.

06

Unsure how to configure an external model

Endpoint, provider, key format and model selection can vary, so a Cursor-focused guide reduces friction.

Cost monitor 
const prompt = buildRefactorPrompt(files);
const pack = estimateTokenPack(prompt);
return pack.withClearLimit();
Usage estimate visible TypeScript

Model matcher

Find the Right Chinese AI Model for Your Cursor Workflow

What do you use Cursor for?

What matters most?

Recommended model
DeepSeek Recommended for Coding

A strong fit for frequent Cursor coding tasks that involve generation, debugging, reasoning and refactoring.

Compatible through supported endpoint DeepSeek Coding Trial Pack for Cursor
  • Optimized for recurring coding workflows.
  • Useful for debugging and refactoring loops.
  • Good default choice for coding-focused trials.
View Product Compare All Models

This recommendation is based on general model characteristics and available compatibility information. Actual performance may vary.

Token packs

Chinese AI Model Token Packs for Cursor

Choose a coding-focused pack, review compatibility, and open the product page before purchase.

Token pack product cards for Chinese AI models in Cursor DeepSeek Qwen GLM Kimi
Recommended for Coding

DeepSeek Coding Trial Pack for Cursor

Compatible through supported endpoint

Best for

  • Code generation
  • Debugging
  • Code reasoning
  • Refactoring

Includes

  • API usage credits
  • Cursor-focused setup guide
  • Common error checklist
  • Email delivery
  • Basic setup support

$XX Placeholder price

View DeepSeek Pack Setup Guide
Best for Multilingual Coding

Qwen Developer Pack for Cursor

Manual setup required

Best for

  • Multilingual coding
  • Code explanation
  • Technical documentation
  • International teams

Includes

  • API usage credits
  • Cursor-focused setup guide
  • Endpoint checklist
  • Email delivery

$XX Placeholder price

View Qwen Pack Setup Guide
Best for Large Repositories

GLM Large Codebase Pack for Cursor

Compatibility testing in progress

Best for

  • Large codebases
  • Long-context project analysis
  • Repository understanding
  • Agent-style workflows

Includes

  • Pack details
  • Compatibility notes
  • Availability updates
  • Setup limitations

$XX Placeholder price

Check Compatibility View Pack Details
Long-Context Candidate

Kimi Long Context Pack for Cursor

Compatibility testing in progress

Best for

  • Long technical documents
  • Product requirements
  • Repository context
  • Technical summaries

Includes

  • Pack details
  • Long-context notes
  • Availability updates
  • Compatibility checklist

$XX Placeholder price

Join Availability Updates View Pack Details

Comparison

Compare Chinese AI Models for Cursor

DeepSeek Recommended for frequent coding tasks, debugging and refactoring. View Product

Swipe to compare

Field DeepSeek Qwen GLM Kimi
Model DeepSeek Qwen GLM Kimi / Moonshot
Best for Coding, debugging, refactoring Multilingual coding and documentation Large repositories and project analysis Long technical documents
Coding Very strong Strong Strong Moderate
Reasoning Strong Strong Strong Strong
Large codebase Moderate Moderate Very strong Strong
Multilingual Moderate Very strong Moderate Moderate
Relative cost Low Low Medium Medium
Setup difficulty Medium Medium To be verified To be verified
Compatibility Compatible through supported endpoint Manual setup required Compatibility testing in progress Compatibility testing in progress
Product DeepSeek Pack Qwen Pack GLM Details Kimi Details

Use cases

Choose a Model by Cursor Use Case

Code Generation

Generate focused implementation drafts, helper functions and testable code paths.

Recommended model: DeepSeek

Compatible through supported endpoint View Recommended Pack

Debugging

Trace failures, explain error behavior and suggest a precise code fix.

Recommended model: DeepSeek

Compatible through supported endpoint View Recommended Pack

Refactoring

Restructure code while preserving behavior, readability and maintainability.

Recommended model: DeepSeek or Qwen

Manual setup may apply View Recommended Pack

Multilingual Development

Support code explanation, comments and documentation across international teams.

Recommended model: Qwen

Manual setup required View Recommended Pack

Large Repository Analysis

Review project structure, dependencies and cross-file context in larger codebases.

Recommended model: GLM

Compatibility testing in progress Check Compatibility

Long Technical Documents

Condense requirements, technical research and repository context into usable summaries.

Recommended model: Kimi

Compatibility testing in progress View Pack Details

Purchase to setup

From Model Selection to Cursor Setup

  1. 1 Choose Your Cursor Workflow
  2. 2 Compare Compatible Models
  3. 3 Open the Product Page
  4. 4 Purchase a Token Pack
  5. 5 Receive Access and Setup Materials
  6. 6 Test the Model in Cursor
Token Pack DeepSeek Coding Trial Pack Order confirmed
Access materials Setup guide, usage notes and masked credentials format.
API Key ••••••••••••••••
Endpoint Supported endpoint
Test successful

API access details, usage notes and setup materials are delivered after order confirmation. Final delivery timing must be stated on each product page.

Setup guide

A Clear Cursor Setup Guide Is Included

  1. Confirm compatibility
  2. Obtain API access
  3. Open the relevant Cursor settings
  4. Enter the supported API and endpoint details
  5. Select the model
  6. Test with a coding task

The exact setup depends on the selected model, provider, endpoint and current Cursor version.

Protect Your API Key

Never paste your API key into public code, Git repositories, screenshots, forum posts or unverified support messages.

Read the Full Cursor Setup Guide
Cursor settings panel configured with a supported AI model endpoint
Cursor Settings
Supported endpoint Manual endpoint

Connection test completed