AI Tool Comparison
Comparing as AI Code Generation & AutocompleteJunie vs Augment Code

Junie
VS

Augment Code
Verdict by Category
Detailed Comparison
Feature
Junie
Augment Code
Pricing
FreemiumJunie uses JetBrains' AI credit system where 1 AI Credit ≈ $1 USD. Credits are shared between JetBrains AI Assistant and Junie. Since August 2025, credits reflect actual per-token costs at provider rates.
The AI Pro plan costs approximately $100/year and includes a basic monthly credit quota suitable for occasional Junie use plus full JetBrains AI Assistant access. The AI Ultimate plan at approximately $200/year includes a larger credit quota recommended for regular Junie agentic workflows. Both plans can be topped up with additional credits at any time, which remain valid for 12 months.
Junie also supports BYOK (Bring Your Own Key) at provider-rate pricing with zero JetBrains markup — providing full model access at the lowest possible cost for developers who want to control their LLM spend. The Junie CLI free access includes 5 AI credits for a real first task. JetBrains AI Enterprise adds Junie with a large quota, advanced user management, and SSO for organizations.
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
JetBrains' AI coding agent — #1 on SWE-Rebench, plans before it codes
AI coding agent with deep Context Engine for large enterprise codebases
Junie Pros & Cons
Pros
- #1 on SWE-Rebench at 61.6% resolved — independently validated as the top-performing coding agent harness with fresh benchmark tasks
- Structured plan-first approach prevents unintended changes — you review and approve the plan before the agent writes a single line
- Native JetBrains integration — not a ported VS Code extension; Junie uses the full JetBrains SDK for tests, debuggers, local servers, and project-aware refactoring
- Junie CLI (March 2026) extends the same agent to any IDE, terminal, CI/CD, GitHub, and GitLab with BYOK at zero markup
- Model flexibility with cost optimization — plan on powerful models, implement on fast/cheap models, saving significant credit costs on complex tasks
- From JetBrains — the company with 15M+ developer users and 30 years of IDE expertise; strongest enterprise trust signal in the JetBrains ecosystem
Cons
- Credit-based pricing is complex and can be expensive for heavy agentic workflows — agentic tasks consume many internal model calls, draining credits faster than expected
- Requires an active JetBrains IDE subscription to access the full Junie plugin (though Junie CLI is standalone)
- Credits shared between Junie and AI Assistant — heavy AI Assistant users may exhaust quotas before using Junie
- Junie CLI is still in Beta as of mid-2026 — some features like ACP mode and advanced IDE integration are still being refined
- No permanently free tier for commercial use beyond the 5-credit trial — BYOK is the best option for cost-sensitive developers
- Credit pricing is per-token and varies by model, making monthly costs hard to predict for variable workloads
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