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AI Tool Comparison

Comparing as AI Code Generation & Autocomplete
OpenHands vs Augment Code

Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

OpenHands

OpenHands

VS
Augment Code

Augment Code

Verdict by Category

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Detailed Comparison

Feature
OpenHands
Augment Code
Pricing
FreemiumOpenHands has three tiers. The Open Source plan is free forever (MIT license) — self-host locally with your own LLM keys, with a web-based GUI, terminal UI, CLI, Git integrations, and community support. No infra cost. The Cloud Individual plan is also free, adding hosted cloud access from desktop and mobile, API support for automation and scripting, Jira and Slack integrations, and BYOK or access to the OpenHands LLM provider at-cost with no markup. The Individual plan supports 1 user with up to 10 conversations per day. Enterprise has custom pricing and adds VPC or self-hosted deployment (code never leaves your environment), Enterprise SAML/SSO, RBAC, unlimited concurrent conversations per user, the Large Codebase SDK for large/legacy codebases, centralized team billing, Agent Control Plane, audit logs, budget controls, priority support, a named Customer Engineer, and a shared Slack channel. Contact sales at openhands.dev/contact.
PaidAugment Code uses a usage-based pricing model with two tiers. The Business plan costs $100/month flat for up to 50 seats. This includes $100 of pooled monthly usage across LLM inference (billed at provider list price + 40% service fee), Context Engine API calls, and Cosmos compute. Usage is shared across the whole team. Top-ups are available pay-as-you-go at any time; top-ups expire 12 months after purchase. The Enterprise plan has custom pricing for teams over 50 seats. It adds custom usage limits and top-up rates, volume-based annual discounts, SSO/OIDC/SCIM, Customer Managed Encryption Keys (CMEK), ISO/IEC 42001 compliance, SIEM integration, data residency options, granular audit trails, multi-region compute, unlimited concurrent sessions, and a dedicated customer success manager with priority support. All paid plans include a guarantee of no AI training on customer data. A 7-day free trial is available. Previously Augment charged $60/active user/month under a named-seat model before switching to flat/usage-based pricing in October 2025.
Categories
AI Coding AssistantsAI Productivity ToolsAI Developer APIs & PlatformsAI No-Code / Automation Tools
AI Coding AssistantsAI Productivity ToolsAI Developer APIs & Platforms
Summary
The open platform for cloud coding agents — autonomous, transparent, and in your control
AI coding agent with deep Context Engine for large enterprise codebases
OpenHands

OpenHands Pros & Cons

Pros

  • Most-starred open-source coding agent on GitHub with 80,800+ stars and MIT license — transparent, community-audited, and free forever to self-host
  • Fully autonomous end-to-end task completion — not autocomplete or suggestions; agents actually plan, code, test, and push PRs
  • Model-agnostic with BYOK — no vendor lock-in; use Claude, GPT, Gemini, DeepSeek, Llama, or any other LLM
  • 70+ integrations and event-triggered automations run agents in the cloud even when your machine is off
  • Trusted by engineers at Apple, Google, Amazon, Netflix, TikTok, NVIDIA, Mastercard, VMware, AMD, and MongoDB
  • Enterprise adopters report 87% of bug tickets resolved same-day and code-maintenance backlogs reduced by up to 50%

Cons

  • Fully autonomous agents can make unintended changes — production use requires careful scope control and human review of diffs before merging
  • Cloud Individual plan limits daily conversations to 10 — heavy users need Enterprise for unlimited runs
  • Self-hosted deployment requires Docker and local setup; not a zero-config experience for non-technical teams
  • Enterprise pricing is custom and sales-gated — no transparent list price for team deployments
  • Open-source core means community support on the free tier; production SLAs and priority support require Enterprise
Augment Code

Augment Code Pros & Cons

Pros

  • Deepest codebase context of any AI coding tool — Context Engine indexes 400K+ files with semantic graphs, not just open tabs
  • #1 on SWE-bench Pro at 51.80% (Auggie CLI) — top publicly benchmarked coding agent score at publication
  • First and only AI coding assistant with ISO/IEC 42001 certification alongside SOC 2 Type II and CMEK
  • Usage-based flat pricing ($100/mo for up to 50 seats) is more predictable than per-seat models for variable teams
  • Cosmos platform covers the full SDLC — from ticket to PR, code review, tests, incidents, migrations, and onboarding
  • Trusted by Adobe, MongoDB, Webflow, Snyk, Pure Storage, Crypto.com, Tekion, and DXC across enterprise codebases

Cons

  • No free individual tier — Business plan starts at $100/month with a team minimum; sole developers pay full price for low usage
  • Pricing changed three times in 18 months (2023–2025), causing some developer community backlash and unpredictability concerns
  • IDE support limited to VS Code and JetBrains — no standalone IDE, no Neovim full feature parity, no Visual Studio
  • Closed-source with no self-hosting option — all computation runs on Augment's infrastructure or Enterprise cloud tenants
  • Context Engine first-run indexing takes 15–30 minutes on large repos before initial suggestions become fully accurate
  • Enterprise plan requires sales contact for pricing — no public list price above the Business tier