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AI Tool Comparison

Comparing as AI Code Generation & Autocomplete
Blackbox AI vs Augment Code

Blackbox AI

Blackbox AI

VS
Augment Code

Augment Code

Verdict by Category

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

Detailed Comparison

Feature
Blackbox AI
Augment Code
Pricing
FreemiumBlackbox AI has a Freemium consumer tier and an enterprise-focused inference platform with distinct pricing structures. The Free plan offers unlimited chat, VS Code extension access, and select model access with no credit card required. The Pro plan at $10/month provides access to all 300+ models with MCP support, full VS Code agent capabilities, and priority inference. Both are available at product.blackbox.ai/pricing. Blackbox Enterprise Inference is priced per token, not per seat, via an annual purchase order commitment. The base rates (per 1M tokens, list rates): Nemotron 3 Ultra ($0.32 input / $0.80 output), Qwen3.7-Plus ($0.32 / $1.28), GLM-5.2 ($1.40 / $4.40), Kimi K2.7 Code ($0.74 / $3.50), MiniMax M3 ($0.60 / $2.40). Open-weight models (running on Blackbox-operated infrastructure) receive a 10%+ discount; closed models receive 5%+ off provider rates. Enterprise includes dedicated single-tenant deployment, data residency, SAML SSO, SCIM, RBAC, audit logs, zero data retention (contractual + DPA), PII removal before closed models, a forward-deployed engineer (included at no cost), Agents API, custom SLAs, and guaranteed throughput. Unused commitment expires at the billing period end with alerts at 75% and 90% burn-down.
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 & PlatformsAI No-Code / Automation ToolsAI Design Tools
AI Coding AssistantsAI Productivity ToolsAI Developer APIs & Platforms
Summary
High-trust AI coding platform — 300+ models, VS Code, CLI, enterprise inference
AI coding agent with deep Context Engine for large enterprise codebases
Blackbox AI

Blackbox AI Pros & Cons

Pros

  • 4.2M+ VS Code installs — one of the most widely-installed AI coding extensions in the marketplace
  • #1 benchmarked Nemotron 3 Ultra provider at 454 tokens/second (Artificial Analysis, July 2026) — the fastest inference available
  • 300+ models via one endpoint with no seat-based fees on Enterprise — truly usage-based pricing at scale
  • Zero data retention and PII anonymization by default — enterprise-grade privacy without requiring a separate security review
  • Free tier with unlimited chat and VS Code extension available without a credit card — genuinely accessible for individual developers
  • Microsoft Azure partnership enables compliant enterprise deployment on Azure infrastructure for Microsoft-ecosystem teams

Cons

  • Enterprise pricing is commit-based (annual purchase order) with no self-serve monthly plan — requires a sales conversation before starting
  • Relatively newer entrant to the enterprise inference market compared to established providers like OpenAI, Anthropic, and Google
  • AI-native IDE is a newer product and less mature than Cursor or Windsurf as a standalone IDE experience
  • Limited public information on company funding, team size, and revenue makes it harder to assess long-term stability
  • Pro plan at $10/month is narrow in scope — enterprise teams with serious usage needs must engage sales for committed pricing
  • MCP support and multi-agent features (/multi-agent, Chairman LLM orchestration) are metered separately on Enterprise rather than flat-rate included
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

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