Claude Code vs Devin: autonomous AI coding agents in 2026

Use Claude Code if you want an interactive partner that amplifies your workflow in real time. Use Devin if you want to delegate structured tasks and check back on a PR. The two tools are solving the same problem from opposite ends of the autonomy spectrum — understanding the difference saves you from paying for the wrong one.

Who this is for

Developers choosing between the two main autonomous AI coding agents on the market right now. If you’re comparing IDE plugins, Copilot-style completions, or chat interfaces, neither of these is what you’re looking for.

What each tool is

Claude Code is Anthropic’s terminal-native agentic CLI. It runs locally using your environment, your API keys, and your files. You stay in the loop — it plans, edits across files, runs tests, and asks when it’s stuck. The model is locked to Anthropic’s Claude family (Opus 4.8 or Sonnet 4.6 depending on your plan). Integration goes deep: VS Code, JetBrains, GitHub Actions (tag @claude in any PR comment), MCP servers configured per repo, and scheduled CI/CD runs. Code stays on your machine or on GitHub-hosted runners — it never routes through Anthropic’s servers unless you use the API directly.

Devin is Cognition’s cloud-hosted autonomous agent. You hand it a task, it opens a Devbox session on Azure, writes code, runs tests, and posts a PR. You review async. It connects to GitHub, GitLab, Bitbucket, Azure DevOps, Slack, Jira, Linear, and MCP servers for monitoring tooling like Sentry and Datadog. There is no CLI, no local execution mode. The “Brain” — the inference layer — runs in Cognition’s Azure infrastructure regardless of deployment tier.

The builder.io comparison summed it up well: with Claude, you operate; with Devin, you delegate.

What we found

This article is based on primary-source research as of 2026-06-08, not a hands-on head-to-head test. Pricing figures, integration lists, and benchmark data are sourced from official documentation and vendor communications. We note where live testing would change the picture.

Head-to-head

Pricing

Both tools have a $20/month Pro tier and a $200/month Max/high tier for individuals. The similarity stops there.

Claude Code pricing (current)

Plan	Price
Pro	$20/month ($17 annual)
Max 5×	$100/month
Max 20×	$200/month
Enterprise API	~$13/developer/active day; $150–$250/developer/month

90% of Enterprise API users spend under $30 on active days. The API itself runs Claude Opus 4.8 at $5/MTok input and $25/MTok output — a 67% drop from earlier Opus 4 pricing.

Devin pricing (current)

Plan	Price
Free	Available
Pro	$20/month
Max	$200/month
Teams	$80/month minimum (usage-based) + $40/month per full dev seat
Enterprise	Custom ACU pricing

Devin’s pricing history matters here: the team plan was $500/month before Devin 2.0. Cognition cut it dramatically in 2025. This is not a stable pricing environment — verify before budgeting.

Scenario math

Solo developer, moderate use: Both Pro tiers are the same $20/month. Claude Code Pro gives you the Sonnet model within a usage cap; Devin Pro gives you a usage-capped async agent. Neither has publicly documented exactly what the cap is — assume you’ll hit it if you use it daily.

10-person team, all active: Devin Teams is usage-based with a minimum of $80/month; actual costs scale with usage beyond the floor (exact per-seat structure is not in public docs — verify with Cognition Sales). Claude Code Enterprise API at a median $150/developer/month would be $1,500/month — but only for active users; you pay by usage, not by seat.

Enterprise with compliance requirements: Claude Code wins on predictability. The Bedrock/Vertex routing option gives you a firm per-token price and a data residency guarantee. Devin’s Enterprise ACU model requires a custom quote.

Autonomy and UX model

This is where the tools genuinely diverge.

Claude Code keeps you in the session. You give it a task — “add pagination to the /users endpoint and update the integration tests” — and it runs a plan, edits files, runs your test suite, and surfaces blockers in real time. You can steer mid-task. The iteration loop is minutes, not hours. This suits exploratory work, codebase archaeology, pair programming, and anything where the requirements are fuzzy enough to need human judgment during execution.

Devin is designed for you to leave the room. You file a task, Devin opens a Devbox, writes code, runs tests, and opens a PR. You review the diff later. This suits well-specified tasks where the acceptance criteria are clear enough that a human doesn’t need to be present. Long-horizon tasks — “implement the billing webhook handler per this spec” — are where Devin is most at home. If the spec is ambiguous, Devin will still produce a PR; it just might not be the PR you wanted.

Neither model is inherently better. They match different workflows. A team that runs daily standups and reviews every PR will use both differently than a solo developer doing exploratory feature work at 11 PM.

If Cursor is also on your shortlist for interactive AI coding, Claude Code vs Cursor covers the overlap in detail.

Integration ecosystem

Claude Code integrations

GitHub Actions (GA since v1.0): @claude mentions trigger the agent on any PR or issue; outputs PRs and commits
VS Code and JetBrains IDE extensions
MCP: full support, configured per repo via .claude/ settings
Amazon Bedrock and Google Vertex AI for API routing and data residency
Terminal/CLI-native; POSIX shell integration

Devin integrations

Source control: GitHub, GitLab, Bitbucket, Azure DevOps
Chat: Slack (tag @Devin), Microsoft Teams
Project management: Jira, Linear
Monitoring via MCP: Sentry, Datadog, PagerDuty
API: programmatic session creation for CI/CD pipelines
VS Code extension (CognitionAI/devin-extension, open source)
No CLI or local execution

If your team is GitHub-only and terminal-heavy, Claude Code’s integration depth is unmatched. If your team lives in Slack and uses Jira, Devin’s integrations map more naturally to that workflow. Neither has anything like the other’s strongest point: Devin doesn’t do terminal/MCP per-repo config; Claude Code doesn’t do Slack tags or Jira bidirectional sync.

Data residency and enterprise compliance

Claude Code

SOC 2 Type II, ISO 27001 (trust.anthropic.com)
API/Enterprise: customer data not used for training
Bedrock/Vertex routing: code stays in the customer’s chosen AWS or GCP region and account. If you route through Bedrock’s us-east-1, the tokens stay in us-east-1.
GitHub Actions: code never leaves GitHub’s runners

Devin

SOC 2 Type II
ISO 27001:2022 certified (trust.cognition.ai)
Dedicated Deployment (Enterprise): single-tenant Devbox VPC; AWS PrivateLink or IPSec connectivity
Brain inference: remains in Cognition’s Azure cloud regardless of deployment tier; no stated geographic options
EU data residency: not confirmed in public docs
Customer code not used for training

The gap is real. If you have data residency requirements — EU GDPR, regulated-industry mandates, or a security policy that requires inference to stay in a specific cloud region — Claude Code can satisfy them via Bedrock or Vertex. Devin’s execution environment is customer-isolated at the Enterprise tier, but the inference layer is not. For a GDPR compliance checklist, that’s a material difference.

Devin’s honest answer for EU enterprises right now is: contact Sales. That’s not a dealbreaker, but it’s an open question that Claude Code doesn’t have.

Benchmarks

Both Anthropic and Cognition cite SWE-bench in their marketing. SWE-bench Verified is a 500-problem human-reviewed subset of a 2,294-task benchmark built from real GitHub issues.

Claude 3.5 Sonnet (late 2024): 49% on SWE-bench Verified
Devin (2024): tested on only 25% of the test set (570 tasks), under different assist conditions

Comparing these numbers is not valid methodology — different sample sizes, different assist levels, different evaluation conditions.

More importantly: a December 2025 arxiv paper found that models scored 3× better on SWE-Bench-Verified than on a held-out control benchmark (BeetleBox), and 6× better at finding edited files — consistent with memorization of the test set. OpenAI abandoned SWE-bench Verified as a public benchmark metric in early 2026, citing contamination and flawed test cases. Neither Anthropic nor Cognition has published scores on an uncontaminated held-out benchmark as of this writing.

Use SWE-bench figures as marketing signals, not engineering specifications. The benchmark both companies use to compare themselves is the benchmark least likely to give you an honest picture of relative performance.

Verdict

Pick Claude Code if:

You want to stay in the session and steer in real time
Your workflow is terminal-heavy (shell, git, CI/CD, IDE)
You have data residency requirements and need inference to stay in a specific cloud region
You want per-repo MCP configuration
You’re doing exploratory, iterative, or spec-fuzzy work

Pick Devin if:

You want to delegate well-specified tasks and review a PR async
Your team lives in Slack or Jira and you want bidirectional integration
You’re comfortable with cloud-hosted execution on Azure infrastructure
Overnight or long-horizon task runs are part of your workflow

Both is a reasonable answer. Teams with a mix of exploratory feature work and structured ticket-driven tasks could use Claude Code for the former and Devin for the latter. The $20/month Pro tiers make running both feasible.

Devin’s nearest competitor in pure cloud autonomy is Replit Agent — see Replit Agent vs Devin if you’re evaluating both.

Caveats

Pricing changes frequently. Devin’s team plan dropped from $500/month to $80/month in 2025. Claude Code’s Opus pricing dropped 67% when Opus 4 launched. Verify both before committing to a budget.

No hands-on test was performed. This article is based on primary-source documentation and independent research as of 2026-06-08. Real-world performance on your specific codebase and task types may differ from what any documentation implies.

SWE-bench scores are unreliable. See benchmark section above. Do not use them as the primary decision axis.

Devin EU data residency is unconfirmed. If GDPR or other geographic data requirements apply to your organization, get written confirmation from Cognition Sales before signing.

No affiliate links. Neither Claude Code nor Devin has a public affiliate or referral program. No links in this article are affiliate links.