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AI Tool Comparison

Comparing as AI Code Generation & Autocomplete
Qodo vs Augment Code

Qodo

Qodo

VS
Augment Code

Augment Code

Verdict by Category

Detailed category analysis is not available for this comparison.
View Qodo View Augment Code

Detailed Comparison

Feature
Qodo
Augment Code
Pricing
FreemiumQodo uses a credit-based pricing model at $0.012 per credit, pooled across the team with no rate limits. The Pro Team plan is available with credit packs: 2,500 credits (~18 reviews/month), 5,000 credits (~36 reviews/month), and 20,000 credits (~144 reviews/month). There is no annual commitment on the Pro Team plan and a 14-day free trial is available with no credit card required. Additional credits can be purchased anytime. Enterprise pricing is custom and includes everything in Pro Team plus SSO/SAML, audit logs, BYOK (bring your own LLM keys), single-tenant SaaS, on-premises/air-gapped deployment, advanced governance analytics, advanced self-learning rules, Gerrit support, custom agentic workflows, dedicated CSM, priority support SLAs, and MSA/DPA commercial agreements. Open-source projects get free access to Qodo's hosted PR review. The open-source Qodo Merge (formerly PR-Agent) is freely self-hostable. There is no permanent free commercial tier for teams.
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 & Platforms
AI Coding AssistantsAI Productivity ToolsAI Developer APIs & Platforms
Summary
Govern code at the speed AI writes it — quality review for the agent era
AI coding agent with deep Context Engine for large enterprise codebases
Qodo

Qodo Pros & Cons

Pros

  • Only platform purpose-built for governing AI-generated code — designed from the ground up for the agent-first era of software development
  • Self-learning rules system turns organizational knowledge into enforceable, machine-readable standards that every agent and developer follows
  • Open-source PR-Agent foundation with 14,000+ GitHub stars — transparent, community-audited, and self-hostable
  • Supports all four major Git platforms — GitHub, GitLab, Bitbucket, and Azure DevOps, plus Gerrit (Enterprise)
  • Recognized by Gartner as a Visionary in AI-Augmented Development in September 2025, and cited by NVIDIA and Anthropic
  • Zero data retention by default — code is analyzed and discarded, never stored, logged, or used to train models

Cons

  • Credit-based pricing can be unpredictable for heavy users — large PRs and complex codebases consume more credits per review
  • No free permanent tier for teams — only a 14-day trial and free access for open-source projects
  • Primarily focused on code review and quality governance — not a full IDE coding assistant or autocomplete replacement like Cursor or Copilot
  • Enterprise features (SSO, BYOK, on-prem, advanced analytics) require a sales conversation for custom pricing
  • Can generate noisy reviews on very large PRs if context tuning is not configured — rules system setup requires initial investment
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