AICentralResources
AI Tool Comparison

Comparing as AI Code Generation & Autocomplete
Tabnine vs Augment Code

Tabnine

Tabnine

VS
Augment Code

Augment Code

Verdict by Category

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

Detailed Comparison

Feature
Tabnine
Augment Code
Pricing
PaidTabnine offers two enterprise plans on annual subscriptions. The Code Assistant Platform is $39/user/month and includes AI code completions, IDE chat (Claude, GPT, Gemini, Meta, Mistral), Jira integration, flexible deployment (SaaS/VPC/on-prem/air-gapped), zero code retention, SSO, IP indemnification, provenance tracking, centralized admin analytics, RBAC, and priority support. The Tabnine Agentic Platform is $59/user/month and adds the Enterprise Context Engine (unlimited connections to GitHub, GitLab, Bitbucket, Perforce P4, Jira, Confluence), autonomous agentic workflows, MCP tool integrations (Git, Jira, Confluence, Docker, package managers, CI/CD), the Tabnine CLI agent, and governance controls for MCP and per-user pricing thresholds. Headless CI/CD agents are an optional add-on. When using Tabnine-provided LLM access, token consumption is billed at actual LLM provider prices + 5% handling fee. Unlimited usage is included when using your own on-premises or self-managed cloud LLM endpoint. No self-serve trial; all plans require a sales demo.
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 Assistants
AI Coding AssistantsAI Productivity ToolsAI Developer APIs & Platforms
Summary
The original AI code assistant — private, secure, and built for the enterprise
AI coding agent with deep Context Engine for large enterprise codebases
Tabnine

Tabnine Pros & Cons

Pros

  • The original AI coding assistant with 8+ years of enterprise production experience and the most mature platform in the category
  • Only AI coding tool offering fully air-gapped deployment with zero code retention — critical for defense, healthcare, finance, and government
  • IP indemnification with provenance and attribution — every suggestion is traceable to its training source for full license compliance
  • Enterprise Context Engine builds a live organizational knowledge graph enabling true system-level AI reasoning beyond document retrieval
  • Multi-LLM flexibility — choose Claude, GPT, Gemini, Meta, Mistral, or your own on-premises LLM with no vendor lock-in
  • Gartner Magic Quadrant Visionary 2025 and InfoWorld Technology of the Year 2025; trusted by Samsung, Ericsson, Raytheon, and GE Healthcare

Cons

  • Acquired by Tricentis on July 30, 2026 — product roadmap and pricing continuity depend on new ownership direction
  • No free individual tier as of 2026 — pricing starts at $39/user/month (Code Assistant) or $59/user/month (Agentic Platform) on annual contracts
  • Higher price point than GitHub Copilot ($19/user/month) and Cursor ($20/user/month) for teams that don't need enterprise-grade security or air-gapping
  • Enterprise Context Engine requires onboarding time to index and structure large codebases before reaching full accuracy
  • Smaller developer community mindshare than GitHub Copilot or Cursor — fewer third-party tutorials and integrations
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