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Compare/Augment Code vs CodeGPT

Augment CodevsCodeGPT

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Augment Code
Augment Code · IDE extension
#32MCP
Panel
6.3
6 spec wins
Reliability
6.3
Usefulness
7.0
Cost
5.2
Longevity
6.5

“Charges the model's list price plus a 40 percent service fee, which is at least a markup you can read without a lawyer.”

CodeGPT
CodeGPT · IDE extension
#45MCP
Panel
6.3
5 spec wins
Reliability
5.5
Usefulness
6.5
Cost
7.2
Longevity
5.8

“The free plan gives you ten daily interactions on economy models, or unlimited if you bring the bill yourself.”

Spec by spec

SpecAugment CodeCodeGPT
Architecture
CategoryIDE extensionIDE extension
Runslocal, cloudlocal, cloud
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverYesNo
Capabilities
Runs terminal commandsYesNo
Multi-file editsYesYesCodeGPT studies the codebase and proposes edits that you review before they are applied.
Git operationsYesNo
Browser controlNoAuggie ships web-search and web-fetch tools only, so it can read pages but cannot drive a browser; browser automation requires adding a third-party MCP server. No
Sandboxed executionYesCosmos cloud environments are built from a Docker base image you pick from any public registry and each session starts from a fresh isolated snapshot; the local Auggie CLI has no sandbox, and self-hosted daemons isolate only via per-session Git worktrees. No
Multi-agent orchestrationYesNo
Headless / CI modeYes`auggie --print` runs non-interactively for scripts and CI, and Augment publishes GitHub Actions wrappers for PR descriptions and reviews. No
Models
BackboneClaude, GPT, Gemini, GLM, KimiAnthropic Claude, OpenAI GPT, Google Gemini
Bring your own modelNoModel choice is limited to Augment's curated list via /model or --model; no custom base URL, LLM gateway, or Bedrock/Vertex/Azure deployment is documented. Yes
Local modelsNoNo local or OpenAI-compatible endpoint is documented; inference always runs through Augment. YesOllama and LM Studio are listed on the free plan alongside 15+ BYOK providers.
Cost
Pricing modelmixedmixed
Starts at$20/mo$0/mo
Free tierNoYes
Bring your own keyNoLLM usage is billed by Augment as provider cost plus a 40% service fee; supplying your own provider key or cloud account is not documented. Yes
Openness
Open sourceNoNo
Licenseproprietaryproprietary
GitHub stars283n/a

Which one would each critic pick

CriticAugment CodeCodeGPTPick
El Juez——not enough reviews
El Amigo7.06.8Augment Code — Use Augment when the codebase is the problem; on a small repo you are paying a markup for an index you do not need, so pick Claude Code there.
El Crítico6.06.0no preference
El Profesor6.56.0Augment Code — Two benchmark claims, one an ensemble and one a controlled comparison on the vendor's own harness; neither should be read against the public leaderboards.
La Inversora7.06.3Augment Code — Publishing a 40 percent service fee is either transparency or a confession, and exposing the index over MCP is a hedge toward becoming a component in other people's agents.
La Jefa6.85.8Augment Code — SOC 2 Type II, CMEK, audit trails and training exclusion on every plan, pooled usage to 50 seats, SSO and SCIM at Enterprise; approved with a spend ceiling.
El Hacker4.36.8CodeGPT — Fifteen-plus providers, a local runtime and a local model server both listed, and a tool-protocol client, which is most of what I want from a closed extension.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.