Cursor vs GitHub Copilot vs Magic.dev vs Poolside

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

Cursor AI code editor and coding agents, now sold inside The X Subscription Visit GitHub Copilot GitHub's coding assistant and agents, now billed in AI Credits Visit Magic.dev Coding-model research lab; nothing released yet Visit Poolside Coding-model lab shipping open-weight Laguna models and a run-it-yours... Visit
RECATOOLS Score 8.6 / 10 8.3 / 10 5.8 / 10 7 / 10
Capability 9 8 6 8
Value for money 7 8 5 6
Ease of use 9 9 4 5
ASEAN readiness 6 7 5 5
API quality 3 7 3 7
Pricing Freemium Freemium Unknown Open Source
Free tier Free plan: limited agent and Chat requests and a starter allowance for Cursor's coding agents, no card listed Copilot Free: 2,000 inline suggestions a month plus limited chat and agent usage, no card required; free Student plan for verified students — Laguna S 2.1 and XS 2.1 weights free on Hugging Face (OpenMDW-1.1; older XS.2 and M.1 Apache 2.0), free OpenRouter endpoints, Poolside API free for a limited time
Paid from $8/month (Plus, Grok models only), Premium $30, Super $100, Ultra $200 $10/month (Pro, 1,500 AI Credits); Business $19 and Enterprise $39 per seat a month No product on sale, no price, API or waitlist published (Oct 2026) From $0.06 per 1M input tokens on OpenRouter, with Poolside's own API free for a limited time
Has API ✗ ✗ ✗ ✓
Open source ✗ ✗ ✗ ✗
Free to use ✓ ✓ ✗ ✓
Users 1m+ developers 4.7m+ paid subscribers — —
Founded 2023 2021 2022 2023
Maker SpaceX GitHub, Inc. — —
Verdict

Cursor remains one of the strongest AI editors: agents that work across a whole codebase, cloud agents and automations, and Bugbot reviews, with Grok and Composer models included in a weekly allowance. The October 2026 m...

For teams already on GitHub, Copilot is still the lowest-friction way to add AI to the whole workflow: completions in almost every major editor, agents that work from issues and open pull requests, reviews on github.com,...

Magic pursues ultra-long context, with LTM-2-mini trained on up to 100 million tokens, and by its own account compute-efficient pretraining, aimed at automating software engineering. The research write-ups are substantiv...

Poolside has become one of the more interesting open-weight coding labs. Laguna S 2.1 is a 118B mixture-of-experts model with 8B active parameters and a one-million-token context, its weights are downloadable under OpenM...

Full review → Full review → Full review → Full review →
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.