Miguel Rebelo published a side‑by‑side review on May 7, 2026 that tests Claude Code and Cursor across practical developer tasks and agent workflows. The review presents a clear trade‑off: stay hands‑on inside an IDE or delegate end‑to‑end work to an autonomous agent — a choice that influences cost, throughput and how teams collaborate. Cursor positions itself as a VS Code fork designed to keep developers close to the codebase. It offers tab autocomplete, inline edits, a dedicated agent workspace and an agent tab for conversational workflows inside the IDE. Cursor supports model routing and multi‑model usage and is built for users comfortable with an IDE and a local setup.
Claude Code is framed as a coding agent optimized for delegation: it can be driven from the terminal, a desktop app, the browser or a VS Code extension and excels at running end‑to‑end tasks without requiring developers to write the intervening lines of code themselves. The tool emphasizes autonomous orchestration over continuous in‑IDE handholding.
The tools diverge sharply on model access and context size. Cursor is model‑agnostic and supports Claude, OpenAI, Google Gemini, DeepSeek and its own Composer 2 model; its default context is roughly 200k tokens (with a Max Mode tied to model limits, though usable windows can be smaller in practice). Claude Code, by contrast, is locked to Anthropic models (Haiku, Sonnet and Opus) and in the review leveraged Opus 4.6/4.7 to reach model‑dependent windows up to about 1M tokens in tests — a material advantage for very large codebases or multi‑file refactors.
Benchmarks in the review emphasize token efficiency and agent maturity as decisive operational differences. On an identical benchmark task Claude Code consumed about 33k tokens versus roughly 188k tokens for Cursor — about a 5.5× difference that directly affects usage cost and throughput. On orchestration features, Claude Code shows more mature capabilities — sub‑agents, hierarchical task delegation, CI/CD automation and scheduled routines — while Cursor supports parallel agents and cloud handoff but is newer to large‑scale agent orchestration.
Team and deployment trade‑offs are significant. Cursor integrates with Git workflows and shared rules that suit dev teams seeking in‑IDE collaboration and real‑time interaction. Claude Code is described as more solo‑oriented, with team deployment occurring via API rather than real‑time shared sessions. Both tools can plug into broader automation ecosystems (the review notes integrations that enable connections to thousands of apps), and both vendors’ pricing appeared variable, so expected costs can shift.
Taken together, Rebelo’s tests suggest a clear selection heuristic: choose Cursor if you want tight, model‑agnostic IDE integration and in‑place collaboration; choose Claude Code if you need highly efficient large‑context processing and more developed autonomous orchestration on Anthropic models.
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