AI Tool Comparison
Comparing as AI Code Generation & AutocompleteAugment Code vs Tabnine

Augment Code
VS

Tabnine
Verdict by Category
Detailed Comparison
Feature
Augment Code
Tabnine
Pricing
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.
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.
Categories
AI Coding AssistantsAI Productivity ToolsAI Developer APIs & Platforms
AI Coding Assistants
Summary
AI coding agent with deep Context Engine for large enterprise codebases
The original AI code assistant — private, secure, and built for the enterprise
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
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