Agentic harness comparison
Cursor vs Devin Cloud
Cursor offers a local IDE, standalone CLI and cloud agents; Devin Cloud is Cognition's browser agent at app.devin.ai. Compare the specific execution surface, repository access, billing and review/merge controls for delegated work.
Details last verified October 2, 2026
Cursor
Cursor
IDE, standalone CLI and cloud agents · Hybrid
Cognition
Devin Cloud
Cloud agent · Agentic
| Specification | Cursor | Devin Cloud |
|---|---|---|
| Vendor | ||
| Vendor | Cursor | Cognition |
| Runs in | ||
| Runs in | IDE, standalone CLI and cloud agents | Cloud agent |
| Editor support | ||
| Editor support | Cursor IDE (VS Code fork), Terminal CLI beside any editor, Cloud agents (web/mobile) | Browser workspace |
| Autonomy | ||
| Autonomy | Hybrid | Agentic |
| Pricing model | ||
| Pricing model | Hybrid | Hybrid |
| Requires changing editor | ||
| Requires changing editor | No | No |
| Publisher-reported SWE-bench Verified (Background Agent, Claude Sonnet 4.6) · source date 2026-04-19 | ||
| Publisher-reported SWE-bench Verified (Background Agent, Claude Sonnet 4.6) · source date 2026-04-19 | 65.7% | Not verifiedUnverified |
| Publisher-reported SWE-bench Verified (Devin 2.0, standard unassisted eval) · source date 2026-04-19 | ||
| Publisher-reported SWE-bench Verified (Devin 2.0, standard unassisted eval) · source date 2026-04-19 | Not verifiedUnverified | 45.8% |
Dates refer to the linked source’s publication or capture unless it explicitly states when the benchmark was measured. Values we could not confirm are shown as “Not verified” rather than estimated.
Benchmark receipts
Cursor
Cursor, now part of SpaceX, offers an AI-native VS Code-based editor, a standalone terminal agent and cloud agents. The IDE path changes editor; the CLI can run beside an existing editor. Grok and Composer are first-party models, with third-party models available subject to plan and policy.
Best for
- Daily feature work
- Multi-file edits in-editor
- Teams already on VS Code
Watch out
SpaceX-owned Cursor currently prices Hobby free, Pro $20/month, Pro+ $60, Ultra $200, Teams Standard $40/user/month and Premium $120 (5x Standard Agent limits). India-only Start is ₹649/month including tax, restricted to Cursor Models and without the Other Models pool or on-demand usage. Individual plans have separate monthly Cursor Models and Other Models pools; third-party models are charged at API rates. Teams/Enterprise add $0.25/MTok on third-party direct, Auto and BYOK usage, not first-party models. Eligible US-only residency adds a 10% model-price uplift. Old $20/$70/$400 included-dollar figures are not currently established (https://cursor.com/pricing; https://cursor.com/docs/models-and-pricing). OpenAI's August 28 notice proposes a November 12, 2026 (2026-11-12) wind-down; it does not prove OpenAI models have already been removed (https://openai.com/index/our-decision-on-cursor-following-its-acquisition-by-spacex/). Privacy Mode prevents training, subject to abuse-investigation retention and explicitly approved non-ZDR models such as Fable; BYOK requests still use Cursor's backend. Current Instant Grep builds/searches its index locally without storing code embeddings, but opened file context can still reach model providers. Ignore rules do not block terminal or MCP reads (https://cursor.com/data-use; https://cursor.com/docs/context/codebase-indexing; https://cursor.com/docs/reference/ignore-file). The retained 65.7% benchmark is an April 19 publisher compilation for Background Agent with Sonnet 4.6, not a current-product measurement or an independently reproduced official submission. CLI/cloud availability means switching IDE is optional (https://cursor.com/docs/cli/overview; https://cursor.com/blog/joining-spacex).
Devin Cloud
Cognition's cloud engineering agent provides Ask mode for codebase exploration/planning and Agent mode for autonomous edits, commands and reviewed pull requests. It is distinct from Devin Desktop and CLI, with self-serve quota and selected billing integrations shared across those surfaces.
Best for
- Delegated engineering work in a cloud workspace
- Teams evaluating Cognition's agent surface
Watch out
Pro $20/month, Max $200 and Teams $80/month plus $40/full seat use daily/weekly allowances and extra usage at API rates; Enterprise contracts differ. Linked ChatGPT Plus/Pro on Devin Pro/Max/Teams covers eligible GPT requests across Cloud/Desktop/CLI, while other models consume Devin quota; exhausted ChatGPT allowance automatically falls back to Devin billing. Security profiles can restrict network, MCP and git access, but recommended profiles can be overridden; mandatory profiles establish a floor. Profile/binding changes do not affect a running session until its next wake/reboot. Read-only git access blocks push/PR creation, not all local file writes. Cognition's policy permits training depending on service terms; no universal ZDR guarantee is established. The retained 45.8% Devin 2.0 score is an attributed April 19 publisher compilation with unknown experiment date, not a current reproduced benchmark.
Common questions
Cursor vs Devin Cloud
Answered from the verified figures on this page rather than general guidance.
Do I have to change editor to use Cursor or Devin Cloud?
How are Cursor and Devin Cloud priced?
Is Cursor or Devin Cloud better for large refactors?
Should I run Cursor and Devin Cloud together?
Will my project rules transfer between Cursor and Devin Cloud?
Is Cursor free enough for daily agent work?
Is Devin Desktop the same product as Devin Cloud?
Can Devin Cloud replace junior engineers fire-and-forget?
Do coding agents replace code review?
Should we harden MCP before rolling out a coding agent?
Next step
Which one fits
Autonomy and editor constraints decide this far more reliably than a benchmark score.
If most of your week is small, frequent edits, an assistive workflow beats delegation and an agentic harness sits idle while billing. If you regularly hand over work spanning many files, the reverse is true.
Where one tool requires changing editor and the other does not, that difference usually outweighs any capability gap across a team — rollouts fail on adoption, not capability.
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