Home / AI Tools / Devin vs OpenHands vs Replit Agent
Updated 2026-02-12

DEVIN VS OPENHANDS VS REPLIT AGENT

Three fully autonomous AI software agents compared — can they really build software without a human developer?

Claude Opus
GPT-5.2
Gemini 3
👑 AI CONSENSUS WINNER
OpenHands

OpenHands

Open-source AI software development agent for your terminal

8.5 Score
Split Opinion
8.0
8.2
9.3
Free + $20/mo (Cloud)
Devin

Devin

Fully autonomous AI software engineer

8.3 Score
Strong Consensus
8.1
8.2
8.6
$20/mo Core + $2.25/ACU usage
Replit Agent

Replit Agent

Build apps with AI in the cloud

7.8 Score
Strong Consensus
7.8
7.9
7.7
Free + $25/mo

/// THE_VERDICT

Devin leads the autonomous agent race with the most complete sandboxed development environment — it operates its own browser, terminal, and editor in the cloud, tackling multi-step engineering tasks from issue to pull request with genuine autonomy. Its ability to learn from documentation and iterate on failing tests sets it apart. OpenHands offers an impressive open-source alternative with strong reasoning capabilities and the flexibility to run locally or in your own infrastructure, making it the privacy-conscious choice for teams who want agent-level automation without vendor lock-in. Replit Agent excels at greenfield application building with its integrated cloud IDE, deployment, and hosting — hand it a product description and it will scaffold, build, and deploy a working app, though it struggles more with complex existing codebases.

SCORE BREAKDOWN

Task Autonomy
8.8
9.1
8.2
Accuracy & Reliability
8.4
8.0
7.5
Speed & Performance
7.8
7.9
8.1
Tool Integration
8.8
8.5
8.0
Safety & Guardrails
8.5
7.8
7.6
Cost Efficiency
8.5
8.4
7.2
Ease of Use
7.2
8.2
9.0
Multi-step Reasoning
8.6
8.8
7.6

DEEP DIVE

OpenHands

OpenHands

Open-source AI software development agent for your terminal

8.5 Score

/// JUDGE_SUMMARIES

"OpenHands is the leading open-source autonomous coding agent platform, combining SOTA benchmark performance with Docker/Kubernetes sandboxed execution and an SDK for defining custom agent workflows at scale. The $18.8M Series A and enterprise adoption validate its production readiness, but agent accuracy is not infallible — expect partial completions on complex multi-step tasks, and human review remains essential for critical code paths."

— Claude Opus 8.0

"As an agent, OpenHands can decompose multi-step tasks and drive a full loop (inspect repo, implement, run tests, iterate) with minimal hand-holding. The trade-off is operational complexity: you need to set guardrails, pick the right backend, and monitor longer runs to keep cost and correctness under control."

— GPT-5.2 8.2

"As an agent, OpenHands is a powerhouse. It excels at asynchronous, multi-step tasks like refactoring monoliths or upgrading dependencies across a codebase. Its ability to integrate directly with GitHub/GitLab webshooks allows it to act as an autonomous teammate rather than just a tool, though this power comes with a complexity cost."

— Gemini 3 9.3

/// STRENGTHS_WEAKNESSES

Docker/Kubernetes sandboxed execution provides best-in-class agent safety with full isolation from host systems
Agent SDK enables defining custom agents in Python code and scaling to thousands of parallel instances via cloud
At-cost pricing with zero markup and no ACU-style metering — agent costs are predictable and transparent
Open-source transparency provides full visibility into agent decision-making, reasoning chains, and tool usage
Autonomous agents will partially complete tasks — the platform itself acknowledges it 'will probably miss some parts'
Agent quality ceiling is entirely determined by the underlying LLM model chosen by the user
Self-hosted multi-agent orchestration requires significant Docker/Kubernetes infrastructure expertise
Campaign-mode operations across large codebases are powerful but complex to configure correctly
/// BEST_FOR

Developers who want a full SWE agent that can autonomously solve GitHub issues and modify code across files

Devin

Devin

Fully autonomous AI software engineer

8.3 Score

/// JUDGE_SUMMARIES

"Devin 2.0's $20/mo price point (down from $500) was a bold move, but independent evaluations tell a mixed story — one test showed only 3 of 20 tasks completed successfully, while Cognition claims 83% improvement per ACU. The truth likely lies between: Devin handles well-scoped migrations and bulk refactoring effectively, but struggles with ambiguous or architecturally complex tasks. ACU costs can spike unpredictably on difficult problems."

— Claude Opus 8.1

"Devin is a cloud-hosted autonomous coding agent that can take a ticket, work in a full dev environment (editor/terminal/browser), and deliver a PR with minimal supervision. It’s most valuable when tasks are well-scoped, but success rate and compute usage can vary on messy codebases, so you’ll want strong tests and clear acceptance criteria."

— GPT-5.2 8.2

"Devin's architecture is technically impressive — it maintains a persistent development environment with proper state management across long coding sessions. The planning and decomposition capabilities are best-in-class for coding agents. The main technical weakness is in architectural reasoning, where it sometimes makes choices that a senior engineer would not."

— Gemini 3 8.6

/// STRENGTHS_WEAKNESSES

Highest task autonomy of any coding agent for well-scoped, clearly defined tasks
Dramatic $500→$20/mo price reduction makes autonomous coding accessible to individuals
Persistent development environment with terminal, browser, and editor maintains context
Best-in-class for migrations, bulk refactoring, and clearly defined GitHub issues
Independent testing shows inconsistent success rates — as low as 15% on diverse task sets
Can pursue suboptimal approaches for extended periods, wasting ACUs before self-correcting
ACU-based pricing makes costs unpredictable — difficult problems consume resources quickly
Rarely asks clarifying questions, preferring to assume — often incorrectly on ambiguous tasks
/// BEST_FOR

Teams looking to offload routine development tasks to a fully autonomous AI engineer that works independently

Replit Agent

Replit Agent

Build apps with AI in the cloud

7.8 Score

/// JUDGE_SUMMARIES

"Replit Agent remains the most accessible path from idea to deployed app — zero setup, everything in the browser, built-in hosting and databases. Agent 3's self-healing code loop with periodic self-testing is a genuine improvement over earlier versions. However, the effort-based pricing model that replaced fixed credits makes costs genuinely unpredictable, and the generated code quality plateaus quickly for anything beyond simple CRUD applications."

— Claude Opus 7.8

"Replit Agent is a browser-first way to go from a prompt to a running app with hosting and deployment built in. It’s excellent for prototypes and small MVPs because the agent can iterate against a live runtime, but costs and reliability vary with project complexity, and you’ll often need to export/refactor for production-grade architecture."

— GPT-5.2 7.9

"Replit Agent's browser-based architecture is a unique technical approach that eliminates all local setup requirements. Agent 3's autonomous build capability with periodic self-testing is technically sound, though the testing is primarily surface-level UI checks rather than deep functional validation. The platform is well-suited for rapid prototyping but the browser sandbox creates limitations for complex backend development."

— Gemini 3 7.7

/// STRENGTHS_WEAKNESSES

Zero-setup browser environment with built-in hosting, database, and auth — complete platform
Agent 3 self-healing loop autonomously tests and fixes code during extended builds
Stacks feature enables building custom AI agents and automations on top of the platform
ChatGPT integration and 5M+ user community lower the barrier to entry significantly
Effort-based pricing model makes costs genuinely unpredictable for complex projects
Generated code quality plateaus quickly — fine for prototypes, insufficient for production
Limited control over architecture decisions leads to non-standard patterns and conventions
Browser sandbox constraints prevent advanced development workflows and system-level tooling
/// BEST_FOR

Beginners and educators who want a complete cloud-based development environment with AI assistance and built-in hosting

PRICING COMPARISON

OpenHands Devin Replit Agent
Free Tier ✓ Open-source (MIT), $20 free credits for new cloud users ✓ Limited agent interactions
Pro Price $20/mo (Cloud)$20/mo Core + $2.25/ACU usage$25/mo
Team / Enterprise $500/mo (250 ACUs included)$40/mo/seat

RELATED BATTLES

/// SYS_INFO Methodology & Disclosure

How we rate: Each AI model receives the same structured prompt asking it to evaluate each agent across 8 criteria on a 1-10 scale. Models rate independently — no model sees another's scores. Consensus score = average of all three judges. Agreement level = score spread.

Agent criteria: AI agents are evaluated on Task Autonomy, Accuracy & Reliability, Speed, Tool Integration, Safety & Guardrails, Cost Efficiency, Ease of Use, and Multi-step Reasoning — different from coding tool criteria.

Affiliate disclosure: Links to tool signup pages may earn us a commission. This never influences AI ratings.