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Gemini CLI vs Codex: Google Cloud Billing or ChatGPT Plan?

Pick Codex unless your teams hold a Code Assist subscription or bill Gemini through Vertex AI. Where each runs, how each asks permission, MCP support, and pull request review.

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3 min read
Sources
22 cited
In this piece

GILD verdict

Choose Codex if engineers need the agent in the editor, the ChatGPT apps, and the cloud, or if you hold no Code Assist subscription.

Choose Gemini CLI if engineers work in the terminal and CI and an existing Code Assist subscription or Vertex AI billing already pays for it. On Terminal-Bench 4.0, Codex with GPT-6 Astra solved 58.18% of tasks, and Gemini CLI has no listed run. Google points Gemini buyers to Antigravity CLI through Gemini Enterprise, so test it on the same tasks before choosing Gemini CLI.

Codex wins for any team buying new, because ChatGPT plans include it and Google stopped selling new Code Assist subscriptions on October 9, 2026. Gemini CLI stays in the terminal and CI and runs on existing Code Assist subscriptions or Gemini API and Vertex AI billing. Both are open-source terminal agents that edit code and run commands and MCP tools.

Choosing between Gemini CLI and Codex

Choose Gemini CLI if

  • Your organization holds an existing Gemini Code Assist Standard or Enterprise subscription, or bills Gemini through Vertex AI or a paid API key.
  • You want the full CLI source under Apache 2.0 and a system settings file that overrides user settings on every machine.
  • You want pull request review and issue triage from a GitHub Action you configure in your own workflows.

Choose Codex if

  • Codex comes inside ChatGPT Business at US$20 per user per month billed annually, while Google sells no new Code Assist subscriptions.
  • Engineers want an IDE extension, ChatGPT apps, and cloud tasks as well as the CLI.
  • Individual engineers need a personal plan: ChatGPT Free and Plus include Codex, while Gemini CLI no longer serves Google AI Pro or Ultra.

Side by side

DimensionGemini CLICodex
Where it runsTerminal CLI, headless scripts, the run-gemini-cli GitHub Action, and Cloud Shell; it also powers Gemini Code Assist agent mode in VS CodeChatGPT desktop, web, and mobile apps, a CLI, an IDE extension, and Codex Cloud
Individual priceList prices in US dollars. Included usage differs by plan and is not directly comparable.No individual subscription since June 18, 2026; a paid Gemini API key is billed per tokenIncluded in ChatGPT Plus: US$20 per month
Team priceNo new subscriptions since October 9, 2026; existing Gemini Code Assist Standard contracts: US$22.80 per user per month on a monthly commitment, or US$19 on a 12-month commitmentIncluded in ChatGPT Business: US$25 per user per month billed monthly, or US$20 billed annually (2+ users)
Beyond the plan1,500 (Standard) or 2,000 (Enterprise) model requests per user per day; past that, a Gemini API key or Vertex AI at per-token ratesAdditional credits on Plus, Pro, and Business; usage with an API key is billed at API pricing
PermissionsPrompts before tool calls by default; YOLO mode only by command-line flag, and administrators can disable it; sandboxing is off unless configuredSandbox modes from read-only to workspace-write (the default) to danger-full-access, with an on-request or never approval policy
Project instructionsGEMINI.md files loaded from the project hierarchy; context.fileName can add AGENTS.mdAGENTS.md, read once per run before work starts
MCPStdio, SSE, and Streamable HTTP servers; mcp.allowed restricts which servers connectSTDIO and Streamable HTTP servers, configured in config.toml
Open sourceThe CLI, under Apache 2.0The CLI and SDK; the IDE extension and Codex Cloud are not open source
Pull request reviewrun-gemini-cli GitHub Action, on new pull requests or an @gemini-cli /review commentCodex code review on GitHub, requested with @codex review or set to run automatically
Terminal-Bench 4.0Terminal-Bench 4.0 is the terminal-task leaderboard that Stanford and the Laude Institute host. Its best Gemini entry, Gemini 3.8 Flash in the mini-SWE-agent harness, solved 19.09%.No Gemini CLI run listed as of October 25, 20262258.18% of tasks solved with GPT-6 Astra, submitted September 3, 202622

What practitioners report, side by side

Each product's figures come from its own practitioners, for the group you pick.

CodexOpenAI+55 Strong positiveHow this figure is made
Whose sources to count
Compare Gemini CLI with
  • Codex

Overall signal

All practitioners rate Codex +44, 47 points above Gemini CLI at −3. Most of the gap is in praise, with 59 of Codex's 106 sources positive against 20 of Gemini CLI's 64. Codex has 12 negative and Gemini CLI 22.

The score counts the authors from all practitioners that take a side, one vote each with their latest view, and is how far positive votes lead negative ones, per 100 votes, so Gemini CLI's −3 rests on votes split 20 positive, 20 mixed and 22 negative and Codex's +44 on 55, 30 and 12.

A lead of a fifth of the votes reads positive and a lead of half strong positive, with the same lines below zero. The dots show each source, positive, mixed, negative. Use a task pilot to measure accepted work and review time.

Footprint on the Agentic Software Development stack

They differ on two of 12 layers. On Codebase context, Gemini CLI supports it and Codex is core. On CI/CD, Gemini CLI supports it and Codex touches it. Coverage is each product's placement on this stack, as its product page shows it. Core is a job the product owns; Supports and Touches are jobs it helps with. Coverage says nothing about how well a product does them.

Layers where Gemini CLI and Codex differ
LayerGemini CLICodex
Build
Codebase contextSupportsCore
Ship
CI/CDSupportsTouches
The 10 layers where they match
Layers where Gemini CLI and Codex match
LayerGemini CLICodex
Plan
Work planningSupportsSupports
Build
CodingCoreCore
Agent runtimeCoreCore
Tool executionCoreCore
Validate
DebuggingSupportsSupports
TestingSupportsSupports
Code reviewSupportsSupports
Application securityTouchesTouches
Ship
Source controlTouchesTouches
Operate
ObservabilityTouchesTouches

What practitioners praise

Among all practitioners, Codex alone has six praise themes that reach 5 sources from 3 authors. Code Quality and Pull Request Review lead, at 27 of 33 and 12 of 12. Of the two themes both carry, Developer Experience differs most. It is praised in 7 of the 20 Gemini CLI sources that discuss it, against 20 of 36 for Codex. Gemini CLI alone has four praise themes that reach 5 sources from 3 authors. Open Source & Extensibility and Large Context lead, at 11 of 11 and 10 of 10.

What practitioners praise, All practitioners
Praised forGemini CLICodex
Multi-Step Execution9 of 1112 of 17
Developer Experience7 of 2020 of 36
Open Source & Extensibility11 of 11Not a theme in its sources
Large Context10 of 10Not a theme in its sources
Speed4 of 7Not a theme in its sources
Headless Automation3 of 7Not a theme in its sources
Code QualityNot a theme in its sources27 of 33
Pull Request ReviewNot a theme in its sources12 of 12
Value for MoneyNot a theme in its sources11 of 15
Codebase UnderstandingNot a theme in its sources10 of 11
Fast RunsNot a theme in its sources6 of 12
StabilityNot a theme in its sources1 of 6

Each count is the sources that praise a theme, or raise it as a concern, out of those that discuss it. A row pairs the two products when both carry a theme under the same or an equivalent name.

A count ending in "so far" has under 5 sources from 3 authors among all practitioners. "Not a theme in its sources" means GILD found no theme of that name in that product's sources.

What practitioners raise as concerns

Gemini CLI's sources raise Requires Strong Review more often than Codex's. It is raised in 7 of the 8 Gemini CLI sources that discuss it, against 9 of 23 for Codex. Gemini CLI alone has four concern themes that reach 5 sources from 3 authors. Reliability and Product Direction lead, at 25 of 27 and 14 of 16. Codex alone has four concern themes that reach 5 sources from 3 authors. Usage Limits / Cost and Inconsistent Results lead, at 22 of 39 and 15 of 16.

What practitioners raise as concerns, All practitioners
Raised as a concernGemini CLICodex
Needs Close Steering7 of 76 of 9
Requires Strong Review7 of 89 of 23
Reliability25 of 27Not a theme in its sources
Product Direction14 of 16Not a theme in its sources
Quotas & Cost13 of 16Not a theme in its sources
Permissions & Safety7 of 8Not a theme in its sources
Usage Limits / CostNot a theme in its sources22 of 39
Inconsistent ResultsNot a theme in its sources15 of 16
SpeedNot a theme in its sources13 of 22
Communication & SteeringNot a theme in its sources7 of 12

22 sources

  1. Gemini Code Assist docs: Gemini Code Assist Standard and Enterprise subscriptionsOfficial documentationdocs.cloud.google.com
  2. Gemini Code Assist release notesOfficial documentationdocs.cloud.google.com
  3. Google Developers Blog: Transitioning Gemini CLI to Antigravity CLI (May 19, 2026)Official documentationdevelopers.googleblog.com
  4. Gemini CLI docs: Quota and pricingOfficial documentationgeminicli.com
  5. Gemini for Google Cloud pricingOfficial documentationcloud.google.com
  6. Gemini for Google Cloud: Quotas and limitsOfficial documentationdocs.cloud.google.com
  7. Gemini Code Assist docs: Gemini CLIOfficial documentationdocs.cloud.google.com
  8. Gemini CLI docs: InstallationOfficial documentationgeminicli.com
  9. Gemini CLI docs: Configuration referenceOfficial documentationgeminicli.com
  10. Gemini CLI docs: Enterprise configurationOfficial documentationgeminicli.com
  11. Gemini CLI docs: Project context (GEMINI.md)Official documentationgeminicli.com
  12. Gemini CLI docs: MCP serversOfficial documentationgeminicli.com
  13. google-gemini/gemini-cli on GitHubOfficial documentationgithub.com
  14. google-github-actions/run-gemini-cli on GitHubOfficial documentationgithub.com
  15. Codex docs: OverviewOfficial documentationlearn.chatgpt.com
  16. Codex docs: PricingOfficial documentationlearn.chatgpt.com
  17. Codex docs: SandboxingOfficial documentationlearn.chatgpt.com
  18. Codex docs: AGENTS.mdOfficial documentationlearn.chatgpt.com
  19. Codex docs: GitHub code reviewOfficial documentationlearn.chatgpt.com
  20. Codex docs: MCPOfficial documentationlearn.chatgpt.com
  21. Codex docs: Open sourceOfficial documentationlearn.chatgpt.com
  22. Terminal-Bench 4.0 leaderboard, Stanford, Harbor, and Laude Institute (Oct 23, 2026)Public sourcetbench.ai