Coding · Head-to-head

Cursor vs T3MP3ST

Cursor vs T3MP3ST: pricing, features, and which to pick in 2026.

The verdict

Pick Cursor if…
  • overall capability matters more than price (AI Score 9.5 vs 7.8)
  • you want our editor's pick for this category
  • your primary use case is professional developers handling complex, multi-file refactors who want ai built into a familiar vs code-based editor.
Try Cursor →
Pick T3MP3ST if…
  • budget is the constraint
  • your primary use case is security researchers and bug-bounty hunters who want to point ai coding agents they already use at authorized targets for autonomous vulnerability hunting.
  • you need: research
Try T3MP3ST →

Side-by-side specs

Spec Cursor T3MP3ST
Category Coding Coding
Pricing model freemium free
Headline pricing Freemium Free, open source (AGPL-3.0) — you pay for the underlying AI agent's API usage
Free tier 2000 completions and 50 premium requests per month Entire project is free and open source under AGPL-3.0; the only real cost is the token/subscription spend of whatever AI agent you plug in.
AI Score 9.5/10 7.8/10
Best for Professional developers handling complex, multi-file refactors who want AI built into a familiar VS Code-based editor. Security researchers and bug-bounty hunters who want to point AI coding agents they already use at authorized targets for autonomous vulnerability hunting.
Editor's pick ✓ Yes
Use cases development agents development agents research
Date added 2025-04-01 2026-07-05

Pros and cons

Cursor logo

Cursor

Coding · freemium

Pros

  • Best multi-file editing capability in any AI tool
  • Deep codebase awareness for accurate suggestions
  • Familiar VS Code interface with AI superpowers
  • Agent mode for autonomous multi-step tasks

Cons

  • ×Can be resource-heavy on older machines
  • ×Free tier has limited premium model access
  • ×Occasional over-eager suggestions in simple files
  • ×Learning curve for advanced features like Composer
T3MP3ST logo

T3MP3ST

Coding · free

Pros

  • Free and fully open source (AGPL-3.0) — the orchestration layer is inspectable, which matters for a tool aimed at sensitive targets
  • Agent-agnostic: runs on coding agents you may already pay for (Claude Code, Codex) instead of a weaker bundled model
  • Multi-agent approach can parallelize recon and exploitation work that would be tedious to drive by hand in a single session
  • Comes from a well-known red-teaming researcher, so the workflow is designed by someone fluent in offensive security

Cons

  • ×Early-stage GitHub framework, not a polished product — expect setup friction, thin docs, and self-reported benchmarks rather than independent validation
  • ×Real cost is hidden: fanning out multiple agents can burn through API tokens or agent subscription limits quickly
  • ×AGPL-3.0 copyleft complicates embedding it in closed-source or commercial security products
  • ×Dual-use by nature — only appropriate for authorized testing, and autonomous runs still surface false positives that need expert triage
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Related comparisons

Updated 2026-07-05. Spec data sourced from official product pages and tracked in our public directory at /tools.

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