Augment Code vs Groq

A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.

Short answer: choose Augment Code if you want ai coding agent built for large, complex enterprise codebases (Supervised agent, subscription); choose Groq if you want fast, low-cost llm inference on custom lpu silicon via groqcloud (Assistant, usage).

Augment CodeGroq
What it isAI coding agent built for large, complex enterprise codebasesFast, low-cost LLM inference on custom LPU silicon via GroqCloud
Typeagentplatform
AutonomySupervised agentAssistant
Pricingsubscription · Plans from ~$20/mo; Enterprise custom (reported)usage · $0.05 / 1M input tokens (Llama 3.1 8B)
Best forenterprise, mid-market, developersdevelopers, enterprise
Deploymentsaasapi, saas, on-prem
Modalitiestext, codetext, voice, code, image, api
Modelsmodel-agnosticllama, open-source, model-agnostic
Protocolsmcp, function-calling, rest-apimcp, function-calling, rest-api
IntegrationsVS Code, JetBrains, GitHub, GitLab, SlackOpenAI SDK, LangChain, Vercel AI SDK, Gmail, Google Calendar, Google Drive
Capabilities3 documented6 documented

Augment Code

  • +Context engine designed for very large, multi-repo codebases
  • +Agent mode handles multi-file changes and refactors with system-wide awareness
  • +Enterprise security: SOC 2 Type II, ISO 42001, SSO/SCIM
  • -Strongest value is at enterprise scale; overkill for small projects
  • -Enterprise pricing is custom and reportedly high
Full Augment Code profile

Groq

  • +Marketed for very fast inference at low, linear per-token pricing
  • +OpenAI-compatible API makes migration nearly drop-in
  • +Free tier plus on-demand, batch, and on-prem (GroqRack/LPX) options
  • -Serves open models only; no proprietary frontier models of its own
  • -It is an inference layer, not an end-to-end agent: orchestration is on you
Full Groq profile

Which should you choose?

Augment Code is ai coding agent built for large, complex enterprise codebases, best for enterprise, mid-market, developers. Groq is fast, low-cost llm inference on custom lpu silicon via groqcloud, best for developers, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.