AI Tool Comparison

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

Blackbox AI

Freemium

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Augment Code

Paid

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Verdict by Category

Detailed category analysis is not available for this comparison.

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Feature & Spec Matrix

Detailed Comparison20 Criteria

Complete side-by-side breakdown of specifications, capabilities, and feature parity

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Feature / Spec

Blackbox AI

Augment Code

Pricing Model

Difference

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.

Starting Price

Difference

Free (unlimited chat) — Pro $10/mo — Enterprise custom (per-token)

$100/mo flat (up to 50 seats) — Enterprise custom

Free Plan & Trial Scope

Difference

Free forever with unlimited chat, access to select models, and VS Code extension. No credit card required.

No free plan. Business plan starts at $100/month flat (up to 50 seats, $100 usage included). 7-day free trial available.

User Rating Score

Unrated

Ideal Workflow / Use Case

Difference

Developers needing a free, multi-model VS Code AI coding assistant, and enterprises wanting consolidated high-trust inference across 300+ models with zero data retention and per-token pricing

Enterprise engineering teams with large, complex multi-repository codebases needing deep semantic AI coding assistance, automated code review, and agentic workflows

Enterprise & Scalability

Difference

Dedicated single-tenant deployment on isolated infrastructure, SAML SSO, SCIM, RBAC, audit logs, zero data retention (contractual + DPA), PII removal before closed models, end-to-end encryption, guaranteed TPM, data residency, custom SLAs, forward-deployed engineer (included at no cost), Microsoft Azure partnership, Agents API with cloud sandboxes

SOC 2 Type II, ISO/IEC 42001 (first AI coding assistant certified), CMEK, SSO/OIDC/SCIM, SIEM integration, data residency options, granular audit trails, multi-region compute, BYOA (bring your own agent), no AI training on customer data

Core Categories

Difference

AI Coding AssistantsAI Productivity ToolsAI Developer APIs & PlatformsAI No-Code / Automation Tools

AI Coding AssistantsAI Productivity ToolsAI Developer APIs & Platforms

300+ model catalog via Blackbox Router — Claude Opus 4.6, GPT-5.2, Gemini 3, Grok-4, Llama, Mistral, Nemotron, Kimi, Qwen, and more via one unified endpoint with end-to-end encryption

Difference

Blackbox AI Advantage

Not listed

VS Code extension with 4.2M+ installs — native coding agent with inline completions, AI chat, multi-file context, code generation, debugging, and project scaffolding

Supported

AI-native IDE (BLACKBOX AI IDE) — purpose-built full IDE with integrated AI agents, intelligent debugging, and advanced code generation built from the ground up

Supported

Blackbox CLI — agentic terminal that reads the conventions of your repository for code changes, scripts, and headless automation

Supported

Agents API — cloud coding agents accessible over HTTP; create runs, stream logs, and open PRs programmatically from any system

Difference

Blackbox AI Advantage

Not listed

Enterprise Inference — dedicated single-tenant deployments on isolated infrastructure with no shared pools and reserved capacity at #1 benchmarked speed (454 tokens/sec on Nemotron 3 Ultra)

Difference

Blackbox AI Advantage

Not listed

Zero data retention and PII anonymization — end-to-end encryption on every connection, PII stripped before prompts reach closed models on Enterprise

Difference

Blackbox AI Advantage

Not listed

Microsoft Azure partnership — dedicated deployment support on Azure infrastructure for enterprise teams in the Microsoft ecosystem

Difference

Blackbox AI Advantage

Not listed

Context Engine — semantically indexes 400,000+ files and builds a persistent graph of functions, classes, modules, imports, and data flows for cross-repo understanding

Difference

Not listed

Augment Code Advantage

Slack integration — @Augment bot answers codebase questions in Slack threads, unblocking developers without consuming dev cycles

Difference

Not listed

Augment Code Advantage

MCP server support — Context Engine exposed as an MCP server; integrates with Jira, Linear, Notion, GitHub, and other external tools via MCP

Difference

Not listed

Augment Code Advantage

Usage-based team pricing — $100/month flat for up to 50 seats with pooled usage, no named seats, no wasted spend on inactive developers

Difference

Not listed

Augment Code Advantage

First ISO/IEC 42001-certified AI coding assistant, plus SOC 2 Type II, CMEK, SSO/OIDC/SCIM, and SIEM integration for regulated enterprise environments

Difference

Not listed

Augment Code Advantage

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 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