Agentic Index
Cursor vs Trae (2026)
Cursor and Trae are both VS Code forks rebuilt around AI, but they sit at opposite ends on governance. Cursor is the professional default with enterprise controls and a 20 dollar entry. Trae, from ByteDance, is aggressively cheap and hands individuals free frontier models, but routes code through ByteDance infrastructure with telemetry and offers no enterprise controls, which rules it out for sensitive work.
| At a glance | Cursor | Trae |
|---|---|---|
| Category | Coding agent | Coding agent |
| Entry price | From $20/mo · free tier | Free tier with frontier model access and limited SOLO. Paid plans are Lite at 3 dollars, Pro at 10 dollars, Pro plus at 30 dollars, and Ultra at 100 dollars a month, all token metered by Basic and Bonus usage. |
| Free / trial | Free (Hobby tier implied) | A permanently free tier includes about five thousand autocompletions a month, limited usage, two concurrent cloud tasks, limited SOLO mode, and access to premium models like Claude, GPT, and DeepSeek without an API key. The Pro plan adds a seven day free trial. |
| Pricing confidence | public partial | public exact |
| Feature |
C
Cursor
|
T
Trae
|
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Partial | Partial |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | No / Not documented |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Partial | No / Not documented |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
Full / Explicit | Partial |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing |
C
Cursor
|
T
Trae
|
|---|---|---|
|
Entry price Lowest public entry point |
From $20/mo · free tier | Free tier with frontier model access and limited SOLO. Paid plans are Lite at 3 dollars, Pro at 10 dollars, Pro plus at 30 dollars, and Ultra at 100 dollars a month, all token metered by Basic and Bonus usage. |
|
Pricing confidence How public the numbers are |
Public — partial | Public — exact |
|
Billing Primary billing axis |
hybrid | Flat monthly subscription tiers with token metered usage inside each. AI work draws down Basic and Bonus token credits rather than a fixed request count, so heavier context, stronger models, and more agentic execution consume the allowance faster and push a user toward a higher tier. |
|
Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
|
Free tier / trial Try before you buy |
Free tierTrial
|
Free tierTrial
|
|
Buying motion Self-serve vs sales call |
Mixed | Self-serve |
Choose Cursor if
- Your code is commercially sensitive; Cursor offers Privacy Mode, enterprise controls, and org wide enforcement.
- You want mature agent orchestration: parallel agents on git worktrees and a purpose built supervision window.
- You are buying for a team and need the admin, billing, and policy features Trae does not offer.
Choose Trae if
- You are an individual, student, or prototyper who wants Claude, GPT, and Gemini access without paying for API keys.
- Budget rules: a generous free tier and paid plans from 3 dollars a month undercut every serious rival.
- You want one prompt scaffolding: SOLO mode carries a project from requirements through code, browser testing, and deployment.