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AI Tool Comparison

Comparing as AI Code Generation & Autocomplete
Gemini Code Assist vs Augment Code

Gemini Code Assist

Gemini Code Assist

VS
Augment Code

Augment Code

Verdict by Category

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

Detailed Comparison

Feature
Gemini Code Assist
Augment Code
Pricing
PaidGemini Code Assist is available in two editions for teams and businesses, priced per user per month. Standard costs $22.80/user/month (monthly) or $19/user/month (annual commitment). It includes AI code completions, inline code generation, natural language chat in IDEs, smart actions, local codebase awareness, Gemini CLI terminal access, Gemini in Firebase, usage metrics dashboard, and Gemini Cloud Assist (Application Design Center, Investigations). It is available in VS Code, JetBrains IDEs, Cloud Shell Editor, Cloud Workstations, and Android Studio. Enterprise costs $54/user/month (monthly) or $45/user/month (annual commitment). It adds Code Customization (index private GitHub/GitLab repos for tailored suggestions), Gemini in BigQuery, Gemini in Apigee, Application Integration, and premium support. Both plans include enterprise security with VPC Service Controls, Private Google Access, granular IAM, and Google's data governance policy (no model training on customer data). SOC 1/2/3, ISO 27001/27017/27018/27701 certified, with IP indemnification. Note: The free individual tier (Gemini Code Assist for individuals, Google AI Pro, Google AI Ultra) was discontinued on June 18, 2026. Individual users are directed to migrate to Antigravity and Antigravity CLI.
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
Google's enterprise AI coding assistant — Gemini 3, 1M context, GCP-native
AI coding agent with deep Context Engine for large enterprise codebases
Gemini Code Assist

Gemini Code Assist Pros & Cons

Pros

  • Backed by Google's Gemini 3 model — the most capable model in the ecosystem with 1M token context window
  • Deepest GCP ecosystem integration of any AI coding tool — Firebase, BigQuery, Apigee, Cloud Shell, Cloud Workstations, and Android Studio all included
  • Enterprise certifications: SOC 1/2/3, ISO 27001, 27017, 27018, and 27701 — the most certified AI coding assistant
  • Data governance policy guarantees no customer code used to train shared models and no use to develop Google products
  • IP indemnification policy protects licensed users from copyright infringement concerns on generated code
  • Used by Dun & Bradstreet, Renault Group, Wayfair, Wipro, Delivery Hero, Sumitomo, and major Fortune 500 enterprises

Cons

  • Individual free tier (Gemini Code Assist for individuals) discontinued June 18, 2026 — migrated to Antigravity platform
  • Standard at $22.80/month or $19/month (annual) is more expensive than GitHub Copilot ($10/month) for the same core functionality
  • Enterprise at $54/month (or $45 annual) is the highest-priced major AI coding assistant in the market
  • Best value only for teams already invested in Google Cloud — GCP-specific features have less value for AWS or Azure shops
  • Agent mode is still in Preview as of mid-2026 — not yet Generally Available for production SDLC workflows
  • Requires Google Cloud account and project setup before individual developers can access the IDE plugin
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