Choose Gemini CLI → Antigravity CLI when
Choose Gemini CLI → Antigravity CLI when former free, Google AI Pro, or Ultra Gemini CLI users moving to Antigravity CLI.
Gemini CLI → Antigravity CLI vs Codex
Which AI coding workflow fits you?
Reviewed Jul 12, 2026
47-field comparison matrix
| Dimension |  Gemini CLI → Antigravity CLIAntigravity multi-agent terminal and desktop platform, with legacy Gemini CLI retained for supported enterprise pathsView full Gemini CLI → Antigravity CLI analysis |  CodexCross-surface coding agent and multi-agent command centerView full Codex analysis | Official evidence |
|---|---|---|---|
| Product formDetermines whether adoption replaces the primary editor or layers an agent across existing tools. | Antigravity multi-agent terminal and desktop platform, with legacy Gemini CLI retained for supported enterprise paths | Cross-surface coding agent and multi-agent command center | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Primary surfacesShows how much of the team's current development environment can remain in place. | Antigravity CLI terminal user interface · Antigravity 2.0 standalone desktop application · Antigravity CLI on macOS, Linux, and Windows · Gemini CLI for Gemini Code Assist Standard and Enterprise organizations · Gemini Code Assist IDE extensions for supported enterprise licenses · Gemini Code Assist for GitHub through Google Cloud · Gemini CLI through paid Gemini and Gemini Enterprise Agent Platform API keys | ChatGPT desktop app in Codex mode · Codex IDE extension · Codex CLI · Codex web · Codex cloud · GitHub | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Execution environmentsAffects machine usage, task isolation, and the ability to continue long-running work away from a laptop. | Local project workspace · Antigravity server-side agent harness · Isolated Git worktree for delegated subagents · OS-level sandbox with configurable permissions · Google Cloud enterprise environment · Continuing Gemini CLI enterprise execution path | Local workspace · Git worktree · OpenAI-managed cloud container | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Model strategyInfluences model choice, vendor concentration, and how usage costs vary by task. | What Gemini CLI is now — Model strategy: Gemini CLI now has two distinct status paths. Consumer access through the free individual tier and Google AI Pro or Ultra ended on June 18, 2026 and moved to Antigravity CLI. Google continues maintaining the Apache-licensed Gemini CLI for supported enterprise licenses and paid enterprise API-key access.Confirmed | What Codex is — Model strategy: Codex is a coding agent connected by a ChatGPT account across the desktop app, IDE, terminal, web, and cloud. The desktop experience is designed as a command center for supervising multiple agents and long-running work.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Free starting pointSets the cost of running a real proof of concept before committing a team. | $0/plan — Free entry available. Antigravity CLI baseline — meaningful weekly quota for users without Google AI Pro or Ultra; this is not the former Gemini CLI free tier | $0/plan — Free entry available. Codex is included across ChatGPT plans, including Free and Go, with limits that vary by plan | Google announcement transitioning Gemini CLI to Antigravity CLI Using Codex with your ChatGPT plan |
| Best-fit buying archetypeTurns the feature inventory into an explicit initial choice while keeping editorial judgment separate from product facts. | What Gemini CLI is now — Best-fit buying archetype: Gemini CLI now has two distinct status paths. Consumer access through the free individual tier and Google AI Pro or Ultra ended on June 18, 2026 and moved to Antigravity CLI. Google continues maintaining the Apache-licensed Gemini CLI for supported enterprise licenses and paid enterprise API-key access.Confirmed | What Codex is — Best-fit buying archetype: Codex is a coding agent connected by a ChatGPT account across the desktop app, IDE, terminal, web, and cloud. The desktop experience is designed as a command center for supervising multiple agents and long-running work.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Native full editorDetermines migration effort and whether developers can consolidate manual coding and agent work into one editor. | What Gemini CLI is now — Native full editor: Gemini CLI now has two distinct status paths. Consumer access through the free individual tier and Google AI Pro or Ultra ended on June 18, 2026 and moved to Antigravity CLI. Google continues maintaining the Apache-licensed Gemini CLI for supported enterprise licenses and paid enterprise API-key access.Confirmed | Coding workflow — Native full editor: Codex can inspect repositories, edit files, execute commands and tests, review diffs, and complete substantial engineering tasks. Local work is available through the app, IDE extension, and CLI, while cloud tasks can continue independently.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Dedicated inline completionInline completion affects hundreds of small daily edits that do not warrant delegating a full agent task. | What Gemini CLI is now — Dedicated inline completion: Gemini CLI now has two distinct status paths. Consumer access through the free individual tier and Google AI Pro or Ultra ended on June 18, 2026 and moved to Antigravity CLI. Google continues maintaining the Apache-licensed Gemini CLI for supported enterprise licenses and paid enterprise API-key access.Confirmed | Coding workflow — Dedicated inline completion: Codex can inspect repositories, edit files, execute commands and tests, review diffs, and complete substantial engineering tasks. Local work is available through the app, IDE extension, and CLI, while cloud tasks can continue independently.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| End-to-end agent changesShows whether the product can move beyond suggestions to implementation, testing, and revision. | What Gemini CLI is now — End-to-end agent changes: Gemini CLI now has two distinct status paths. Consumer access through the free individual tier and Google AI Pro or Ultra ended on June 18, 2026 and moved to Antigravity CLI. Google continues maintaining the Apache-licensed Gemini CLI for supported enterprise licenses and paid enterprise API-key access.Confirmed | Coding workflow — End-to-end agent changes: Codex can inspect repositories, edit files, execute commands and tests, review diffs, and complete substantial engineering tasks. Local work is available through the app, IDE extension, and CLI, while cloud tasks can continue independently.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Codebase context approachContext retrieval quality becomes more important as repository size and architectural complexity grow. | What Gemini CLI is now — Codebase context approach: Gemini CLI now has two distinct status paths. Consumer access through the free individual tier and Google AI Pro or Ultra ended on June 18, 2026 and moved to Antigravity CLI. Google continues maintaining the Apache-licensed Gemini CLI for supported enterprise licenses and paid enterprise API-key access.Confirmed | Coding workflow — Codebase context approach: Codex can inspect repositories, edit files, execute commands and tests, review diffs, and complete substantial engineering tasks. Local work is available through the app, IDE extension, and CLI, while cloud tasks can continue independently.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Visual and frontend workflowVisual input and browser verification reduce the gap between generated frontend code and the intended design. | What Gemini CLI is now — Visual and frontend workflow: Gemini CLI now has two distinct status paths. Consumer access through the free individual tier and Google AI Pro or Ultra ended on June 18, 2026 and moved to Antigravity CLI. Google continues maintaining the Apache-licensed Gemini CLI for supported enterprise licenses and paid enterprise API-key access.Confirmed | Coding workflow — Visual and frontend workflow: Codex can inspect repositories, edit files, execute commands and tests, review diffs, and complete substantial engineering tasks. Local work is available through the app, IDE extension, and CLI, while cloud tasks can continue independently.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Terminal, build, and test executionThe implementation loop is incomplete if the agent cannot run the repository's own verification commands. | What Gemini CLI is now — Terminal, build, and test execution: Gemini CLI now has two distinct status paths. Consumer access through the free individual tier and Google AI Pro or Ultra ended on June 18, 2026 and moved to Antigravity CLI. Google continues maintaining the Apache-licensed Gemini CLI for supported enterprise licenses and paid enterprise API-key access.Confirmed | Coding workflow — Terminal, build, and test execution: Codex can inspect repositories, edit files, execute commands and tests, review diffs, and complete substantial engineering tasks. Local work is available through the app, IDE extension, and CLI, while cloud tasks can continue independently.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Debugging workflowShows whether the product can diagnose runtime behavior rather than only rewrite code from static context. | What Gemini CLI is now — Debugging workflow: Gemini CLI now has two distinct status paths. Consumer access through the free individual tier and Google AI Pro or Ultra ended on June 18, 2026 and moved to Antigravity CLI. Google continues maintaining the Apache-licensed Gemini CLI for supported enterprise licenses and paid enterprise API-key access.Confirmed | Coding workflow — Debugging workflow: Codex can inspect repositories, edit files, execute commands and tests, review diffs, and complete substantial engineering tasks. Local work is available through the app, IDE extension, and CLI, while cloud tasks can continue independently.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Project instructions and rulesPersistent instructions reduce repeated prompting and encode architecture, testing, and review requirements. | Context and extensibility — Project instructions and rules: Antigravity preserves major Gemini CLI customization concepts while changing their packaging. Agent Skills remain SKILL.md-based, hooks can intercept lifecycle events, MCP supplies external tools, and plugins bundle skills, rules, hooks, and MCP servers into reusable workspace or global packages.Confirmed | Context and extensibility — Project instructions and rules: Codex uses AGENTS.md, configuration, rules, skills, plugins, MCP, hooks, and programmable interfaces to align tasks with project and team requirements.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI Introducing the Codex app |
| Reusable skillsSkills turn specialized repeatable work into a maintained capability instead of a copied prompt. | Context and extensibility — Reusable skills: Antigravity preserves major Gemini CLI customization concepts while changing their packaging. Agent Skills remain SKILL.md-based, hooks can intercept lifecycle events, MCP supplies external tools, and plugins bundle skills, rules, hooks, and MCP servers into reusable workspace or global packages.Confirmed | Context and extensibility — Reusable skills: Codex uses AGENTS.md, configuration, rules, skills, plugins, MCP, hooks, and programmable interfaces to align tasks with project and team requirements.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI Introducing the Codex app |
| MCP supportMCP enables reusable connections to external tools, services, and private operational context. | Context and extensibility — MCP support: Antigravity preserves major Gemini CLI customization concepts while changing their packaging. Agent Skills remain SKILL.md-based, hooks can intercept lifecycle events, MCP supplies external tools, and plugins bundle skills, rules, hooks, and MCP servers into reusable workspace or global packages.Confirmed | Context and extensibility — MCP support: Codex uses AGENTS.md, configuration, rules, skills, plugins, MCP, hooks, and programmable interfaces to align tasks with project and team requirements.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI Introducing the Codex app |
| Plugins and marketplaceA managed extension ecosystem affects discovery, reuse, permissions, and supply-chain governance. | Context and extensibility — Plugins and marketplace: Antigravity preserves major Gemini CLI customization concepts while changing their packaging. Agent Skills remain SKILL.md-based, hooks can intercept lifecycle events, MCP supplies external tools, and plugins bundle skills, rules, hooks, and MCP servers into reusable workspace or global packages.Confirmed | Context and extensibility — Plugins and marketplace: Codex uses AGENTS.md, configuration, rules, skills, plugins, MCP, hooks, and programmable interfaces to align tasks with project and team requirements.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI Introducing the Codex app |
| HooksHooks allow deterministic checks and integrations around otherwise probabilistic agent behavior. | Context and extensibility — Hooks: Antigravity preserves major Gemini CLI customization concepts while changing their packaging. Agent Skills remain SKILL.md-based, hooks can intercept lifecycle events, MCP supplies external tools, and plugins bundle skills, rules, hooks, and MCP servers into reusable workspace or global packages.Confirmed | Context and extensibility — Hooks: Codex uses AGENTS.md, configuration, rules, skills, plugins, MCP, hooks, and programmable interfaces to align tasks with project and team requirements.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI Introducing the Codex app |
| SDK and non-interactive executionProgrammable entry points determine whether the agent can be embedded in CI, scripts, and internal tooling. | Context and extensibility — SDK and non-interactive execution: Antigravity preserves major Gemini CLI customization concepts while changing their packaging. Agent Skills remain SKILL.md-based, hooks can intercept lifecycle events, MCP supplies external tools, and plugins bundle skills, rules, hooks, and MCP servers into reusable workspace or global packages.Confirmed | Context and extensibility — SDK and non-interactive execution: Codex uses AGENTS.md, configuration, rules, skills, plugins, MCP, hooks, and programmable interfaces to align tasks with project and team requirements.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI Introducing the Codex app |
| Team capability distributionCentral distribution prevents every developer from maintaining incompatible private agent setups. | Context and extensibility — Team capability distribution: Antigravity preserves major Gemini CLI customization concepts while changing their packaging. Agent Skills remain SKILL.md-based, hooks can intercept lifecycle events, MCP supplies external tools, and plugins bundle skills, rules, hooks, and MCP servers into reusable workspace or global packages.Confirmed | Context and extensibility — Team capability distribution: Codex uses AGENTS.md, configuration, rules, skills, plugins, MCP, hooks, and programmable interfaces to align tasks with project and team requirements.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI Introducing the Codex app |
| Parallel agentsParallelism is the main throughput advantage of moving from pair programming to agent orchestration. | Agents and orchestration — Parallel agents: Antigravity's main upgrade is asynchronous multi-agent orchestration. A parent agent can delegate research, browser work, testing, or coding to specialized subagents, keep working while they run, inspect their status, and isolate delegated code changes in Git worktrees.Confirmed | Agents and orchestration — Parallel agents: Codex supports multiple agents running in parallel across projects. Built-in worktrees isolate local tasks, cloud environments isolate delegated work, and scheduled Automations handle recurring jobs.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Git worktree isolationWorktrees let multiple agents change one repository without colliding in the same checkout. | Agents and orchestration — Git worktree isolation: Antigravity's main upgrade is asynchronous multi-agent orchestration. A parent agent can delegate research, browser work, testing, or coding to specialized subagents, keep working while they run, inspect their status, and isolate delegated code changes in Git worktrees.Confirmed | Agents and orchestration — Git worktree isolation: Codex supports multiple agents running in parallel across projects. Built-in worktrees isolate local tasks, cloud environments isolate delegated work, and scheduled Automations handle recurring jobs.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Cloud agentsCloud execution keeps long tasks running without tying them to developer hardware. | Agents and orchestration — Cloud agents: Antigravity's main upgrade is asynchronous multi-agent orchestration. A parent agent can delegate research, browser work, testing, or coding to specialized subagents, keep working while they run, inspect their status, and isolate delegated code changes in Git worktrees.Confirmed | Agents and orchestration — Cloud agents: Codex supports multiple agents running in parallel across projects. Built-in worktrees isolate local tasks, cloud environments isolate delegated work, and scheduled Automations handle recurring jobs.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| SubagentsSubagents allow a primary task to delegate exploration and implementation without blocking the parent workflow. | Agents and orchestration — Subagents: Antigravity's main upgrade is asynchronous multi-agent orchestration. A parent agent can delegate research, browser work, testing, or coding to specialized subagents, keep working while they run, inspect their status, and isolate delegated code changes in Git worktrees.Confirmed | Agents and orchestration — Subagents: Codex supports multiple agents running in parallel across projects. Built-in worktrees isolate local tasks, cloud environments isolate delegated work, and scheduled Automations handle recurring jobs.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Local and cloud continuityContinuity determines whether developers can delegate, resume, and locally verify work without recreating context. | Agents and orchestration — Local and cloud continuity: Antigravity's main upgrade is asynchronous multi-agent orchestration. A parent agent can delegate research, browser work, testing, or coding to specialized subagents, keep working while they run, inspect their status, and isolate delegated code changes in Git worktrees.Confirmed | Agents and orchestration — Local and cloud continuity: Codex supports multiple agents running in parallel across projects. Built-in worktrees isolate local tasks, cloud environments isolate delegated work, and scheduled Automations handle recurring jobs.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Scheduled automationsScheduled background work is essential for recurring triage, monitoring, and maintenance rather than one-off coding. | Agents and orchestration — Scheduled automations: Antigravity's main upgrade is asynchronous multi-agent orchestration. A parent agent can delegate research, browser work, testing, or coding to specialized subagents, keep working while they run, inspect their status, and isolate delegated code changes in Git worktrees.Confirmed | Agents and orchestration — Scheduled automations: Codex supports multiple agents running in parallel across projects. Built-in worktrees isolate local tasks, cloud environments isolate delegated work, and scheduled Automations handle recurring jobs.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Mobile and remote supervisionRemote supervision matters when agents run longer than a normal editor session or need approval away from a desk. | Agents and orchestration — Mobile and remote supervision: Antigravity's main upgrade is asynchronous multi-agent orchestration. A parent agent can delegate research, browser work, testing, or coding to specialized subagents, keep working while they run, inspect their status, and isolate delegated code changes in Git worktrees.Confirmed | Agents and orchestration — Mobile and remote supervision: Codex supports multiple agents running in parallel across projects. Built-in worktrees isolate local tasks, cloud environments isolate delegated work, and scheduled Automations handle recurring jobs.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI OpenAI Codex product overview |
| Diff review and feedbackA strong review surface keeps humans in control without forcing them to inspect an agent's entire execution log. | Delivery and review — Diff review and feedback: Antigravity CLI exposes a unified diff for modified workspace files, permission-gated shell and file operations, conversation rewind, and isolated worktrees for subagents. These mechanisms support review before changes are accepted or delivered, while Git branching, tests, commits, and pull requests remain task-driven workflows rather than a mandatory hosted PR queue.Confirmed | Delivery and code review — Diff review and feedback: Codex connects implementation with diff review, testing, GitHub, pull requests, and dedicated code review. Local and cloud output remains reviewable before it is merged.Confirmed | Antigravity CLI command reference OpenAI Codex product overview |
| Git isolation and rollbackRollback and isolation reduce the cost of trying alternative implementations or recovering from a poor edit. | Delivery and review — Git isolation and rollback: Antigravity CLI exposes a unified diff for modified workspace files, permission-gated shell and file operations, conversation rewind, and isolated worktrees for subagents. These mechanisms support review before changes are accepted or delivered, while Git branching, tests, commits, and pull requests remain task-driven workflows rather than a mandatory hosted PR queue.Confirmed | Delivery and code review — Git isolation and rollback: Codex connects implementation with diff review, testing, GitHub, pull requests, and dedicated code review. Local and cloud output remains reviewable before it is merged.Confirmed | Antigravity CLI command reference OpenAI Codex product overview |
| Pull-request workflowPull-request integration determines how easily delegated work enters a normal engineering review process. | Delivery and review — Pull-request workflow: Antigravity CLI exposes a unified diff for modified workspace files, permission-gated shell and file operations, conversation rewind, and isolated worktrees for subagents. These mechanisms support review before changes are accepted or delivered, while Git branching, tests, commits, and pull requests remain task-driven workflows rather than a mandatory hosted PR queue.Confirmed | Delivery and code review — Pull-request workflow: Codex connects implementation with diff review, testing, GitHub, pull requests, and dedicated code review. Local and cloud output remains reviewable before it is merged.Confirmed | Antigravity CLI command reference OpenAI Codex product overview |
| Dedicated code reviewDedicated review can find defects independently of the agent that authored the change, but packaging and cost differ. | Delivery and review — Dedicated code review: Antigravity CLI exposes a unified diff for modified workspace files, permission-gated shell and file operations, conversation rewind, and isolated worktrees for subagents. These mechanisms support review before changes are accepted or delivered, while Git branching, tests, commits, and pull requests remain task-driven workflows rather than a mandatory hosted PR queue.Confirmed | Delivery and code review — Dedicated code review: Codex connects implementation with diff review, testing, GitHub, pull requests, and dedicated code review. Local and cloud output remains reviewable before it is merged.Confirmed | Antigravity CLI command reference OpenAI Codex product overview |
| CI and PR follow-throughFollow-through reduces the manual loop of watching checks, reading failures, patching, and waiting again. | Delivery and review — CI and PR follow-through: Antigravity CLI exposes a unified diff for modified workspace files, permission-gated shell and file operations, conversation rewind, and isolated worktrees for subagents. These mechanisms support review before changes are accepted or delivered, while Git branching, tests, commits, and pull requests remain task-driven workflows rather than a mandatory hosted PR queue.Confirmed | Delivery and code review — CI and PR follow-through: Codex connects implementation with diff review, testing, GitHub, pull requests, and dedicated code review. Local and cloud output remains reviewable before it is merged.Confirmed | Antigravity CLI command reference OpenAI Codex product overview |
| Verification artifactsArtifacts make it possible to judge whether an agent actually tested and inspected its work. | Delivery and review — Verification artifacts: Antigravity CLI exposes a unified diff for modified workspace files, permission-gated shell and file operations, conversation rewind, and isolated worktrees for subagents. These mechanisms support review before changes are accepted or delivered, while Git branching, tests, commits, and pull requests remain task-driven workflows rather than a mandatory hosted PR queue.Confirmed | Delivery and code review — Verification artifacts: Codex connects implementation with diff review, testing, GitHub, pull requests, and dedicated code review. Local and cloud output remains reviewable before it is merged.Confirmed | Antigravity CLI command reference OpenAI Codex product overview |
| Free planA free plan supports a real repository trial before procurement or team rollout. | $0/plan — Free entry available. Antigravity CLI baseline — meaningful weekly quota for users without Google AI Pro or Ultra; this is not the former Gemini CLI free tier | $0/plan — Free entry available. Codex is included across ChatGPT plans, including Free and Go, with limits that vary by plan | Google announcement transitioning Gemini CLI to Antigravity CLI Using Codex with your ChatGPT plan |
| Personal paid entryShows the recurring commitment required for sustained personal use without conflating a client subscription with a platform bundle. | $19.99/month — Google AI Pro in the United States, with higher Antigravity baseline and weekly limits. Google AI Pro in the United States, with higher Antigravity baseline and weekly limits. Antigravity gives all users baseline access to product features and Gemini models. Users without Pro or Ultra receive a weekly-refreshed quota; Pro and Ultra receive larger quotas refreshed every five hours subject to weekly limits. Pro and Ultra can enable AI Credit overages at Gemini Enterprise Agent Platform consumption rates. Continuing Gemini CLI Standard, Enterprise, and paid API-key access follows separate Google Cloud licensing or usage pricing. | $null/plan-dependent — See official pricing. No standalone individual price is listed in the reviewed pricing material. Codex usage draws from the plan's agentic usage and credit pool. The current rate card primarily maps model input, cached-input, and output tokens to credits. | Google announcement transitioning Gemini CLI to Antigravity CLI Using Codex with your ChatGPT plan |
| Primary usage unitThe billing unit determines whether cost forecasting follows requests, model list prices, tokens, or credits. | Pricing after the transition — Primary usage unit: The former consumer Gemini CLI free, Pro, and Ultra request paths no longer operate. Antigravity CLI instead provides a baseline quota to all users, larger quotas for Google AI Pro and Ultra, and optional AI Credit overages. Google lists AI Pro at $19.99 per month in the United States. Enterprise Gemini CLI access is priced separately through Google Cloud licenses or paid API usage.Confirmed | Pricing and usage — Primary usage unit: Codex is included through ChatGPT plans rather than sold only as one standalone client subscription. Limits vary by plan, and additional use is managed through a credits system whose cost depends on model and token mix.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI Using Codex with your ChatGPT plan |
| Overage behaviorOverage rules determine whether work stops at a limit or continues with a variable bill. | Pricing after the transition — Overage behavior: The former consumer Gemini CLI free, Pro, and Ultra request paths no longer operate. Antigravity CLI instead provides a baseline quota to all users, larger quotas for Google AI Pro and Ultra, and optional AI Credit overages. Google lists AI Pro at $19.99 per month in the United States. Enterprise Gemini CLI access is priced separately through Google Cloud licenses or paid API usage.Confirmed | Pricing and usage — Overage behavior: Codex is included through ChatGPT plans rather than sold only as one standalone client subscription. Limits vary by plan, and additional use is managed through a credits system whose cost depends on model and token mix.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI Using Codex with your ChatGPT plan |
| Team entry planTeam pricing determines the baseline before variable model use, review, and enterprise controls. | $null/plan-dependent — See official pricing. No standalone team price is listed in the reviewed pricing material. Antigravity gives all users baseline access to product features and Gemini models. Users without Pro or Ultra receive a weekly-refreshed quota; Pro and Ultra receive larger quotas refreshed every five hours subject to weekly limits. Pro and Ultra can enable AI Credit overages at Gemini Enterprise Agent Platform consumption rates. Continuing Gemini CLI Standard, Enterprise, and paid API-key access follows separate Google Cloud licensing or usage pricing. | $null/plan-dependent — See official pricing. No standalone team price is listed in the reviewed pricing material. Codex usage draws from the plan's agentic usage and credit pool. The current rate card primarily maps model input, cached-input, and output tokens to credits. | Google announcement transitioning Gemini CLI to Antigravity CLI Using Codex with your ChatGPT plan |
| Code-review billingReview volume can become a material cost separate from interactive coding. | Pricing after the transition — Code-review billing: The former consumer Gemini CLI free, Pro, and Ultra request paths no longer operate. Antigravity CLI instead provides a baseline quota to all users, larger quotas for Google AI Pro and Ultra, and optional AI Credit overages. Google lists AI Pro at $19.99 per month in the United States. Enterprise Gemini CLI access is priced separately through Google Cloud licenses or paid API usage.Confirmed | Pricing and usage — Code-review billing: Codex is included through ChatGPT plans rather than sold only as one standalone client subscription. Limits vary by plan, and additional use is managed through a credits system whose cost depends on model and token mix.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI Using Codex with your ChatGPT plan |
| Enterprise billing and usage administrationLarge teams need spend visibility, procurement support, allocation controls, and auditability in addition to feature access. | Pricing after the transition — Enterprise billing and usage administration: The former consumer Gemini CLI free, Pro, and Ultra request paths no longer operate. Antigravity CLI instead provides a baseline quota to all users, larger quotas for Google AI Pro and Ultra, and optional AI Credit overages. Google lists AI Pro at $19.99 per month in the United States. Enterprise Gemini CLI access is priced separately through Google Cloud licenses or paid API usage.Confirmed | Pricing and usage — Enterprise billing and usage administration: Codex is included through ChatGPT plans rather than sold only as one standalone client subscription. Limits vary by plan, and additional use is managed through a credits system whose cost depends on model and token mix.Confirmed | Google announcement transitioning Gemini CLI to Antigravity CLI Using Codex with your ChatGPT plan |
| Training-data policySource code and prompts may contain proprietary logic, credentials, or regulated data. | Security, permissions, and governance — Training-data policy: Antigravity CLI combines workspace-scoped operation with a fine-grained permissions engine and OS-level sandbox. Administrators and users can allow, deny, or require review for commands, files, URLs, unsandboxed actions, and MCP calls. Unconfigured sensitive actions default to asking for approval.Confirmed | Security and governance — Training-data policy: Codex combines OS-enforced local sandboxing, configurable approvals, default network restrictions, isolated cloud containers, and ChatGPT workspace controls. Data-training defaults depend on whether the user is on a consumer or business plan.Confirmed | Antigravity CLI permissions and sandbox controls Codex agent approvals and security |
| Local sandboxLocal sandboxing limits the damage of a mistaken or manipulated command on a developer machine. | Security, permissions, and governance — Local sandbox: Antigravity CLI combines workspace-scoped operation with a fine-grained permissions engine and OS-level sandbox. Administrators and users can allow, deny, or require review for commands, files, URLs, unsandboxed actions, and MCP calls. Unconfigured sensitive actions default to asking for approval.Confirmed | Security and governance — Local sandbox: Codex combines OS-enforced local sandboxing, configurable approvals, default network restrictions, isolated cloud containers, and ChatGPT workspace controls. Data-training defaults depend on whether the user is on a consumer or business plan.Confirmed | Antigravity CLI permissions and sandbox controls Codex agent approvals and security |
| Cloud execution isolationCloud isolation determines whether agent tasks can access host systems or unrelated organizational data. | Security, permissions, and governance — Cloud execution isolation: Antigravity CLI combines workspace-scoped operation with a fine-grained permissions engine and OS-level sandbox. Administrators and users can allow, deny, or require review for commands, files, URLs, unsandboxed actions, and MCP calls. Unconfigured sensitive actions default to asking for approval.Confirmed | Security and governance — Cloud execution isolation: Codex combines OS-enforced local sandboxing, configurable approvals, default network restrictions, isolated cloud containers, and ChatGPT workspace controls. Data-training defaults depend on whether the user is on a consumer or business plan.Confirmed | Antigravity CLI permissions and sandbox controls Codex agent approvals and security |
| Cloud-agent network defaultNetwork access enables dependency installation and research but increases prompt-injection and data-exfiltration risk. | Security, permissions, and governance — Cloud-agent network default: Antigravity CLI combines workspace-scoped operation with a fine-grained permissions engine and OS-level sandbox. Administrators and users can allow, deny, or require review for commands, files, URLs, unsandboxed actions, and MCP calls. Unconfigured sensitive actions default to asking for approval.Confirmed | Security and governance — Cloud-agent network default: Codex combines OS-enforced local sandboxing, configurable approvals, default network restrictions, isolated cloud containers, and ChatGPT workspace controls. Data-training defaults depend on whether the user is on a consumer or business plan.Confirmed | Antigravity CLI permissions and sandbox controls Codex agent approvals and security |
| Command approvalsApproval policy controls how often an agent can act autonomously versus requiring a human checkpoint. | Security, permissions, and governance — Command approvals: Antigravity CLI combines workspace-scoped operation with a fine-grained permissions engine and OS-level sandbox. Administrators and users can allow, deny, or require review for commands, files, URLs, unsandboxed actions, and MCP calls. Unconfigured sensitive actions default to asking for approval.Confirmed | Security and governance — Command approvals: Codex combines OS-enforced local sandboxing, configurable approvals, default network restrictions, isolated cloud containers, and ChatGPT workspace controls. Data-training defaults depend on whether the user is on a consumer or business plan.Confirmed | Antigravity CLI permissions and sandbox controls Codex agent approvals and security |
| SSO and SCIMIdentity federation and automated provisioning are required for reliable access removal and enterprise onboarding. | Security, permissions, and governance — SSO and SCIM: Antigravity CLI combines workspace-scoped operation with a fine-grained permissions engine and OS-level sandbox. Administrators and users can allow, deny, or require review for commands, files, URLs, unsandboxed actions, and MCP calls. Unconfigured sensitive actions default to asking for approval.Confirmed | Security and governance — SSO and SCIM: Codex combines OS-enforced local sandboxing, configurable approvals, default network restrictions, isolated cloud containers, and ChatGPT workspace controls. Data-training defaults depend on whether the user is on a consumer or business plan.Confirmed | Antigravity CLI permissions and sandbox controls Codex agent approvals and security |
| Audit and policy controlsPolicy controls let security teams constrain repositories, models, tools, networks, and access while preserving an audit trail. | Security, permissions, and governance — Audit and policy controls: Antigravity CLI combines workspace-scoped operation with a fine-grained permissions engine and OS-level sandbox. Administrators and users can allow, deny, or require review for commands, files, URLs, unsandboxed actions, and MCP calls. Unconfigured sensitive actions default to asking for approval.Confirmed | Security and governance — Audit and policy controls: Codex combines OS-enforced local sandboxing, configurable approvals, default network restrictions, isolated cloud containers, and ChatGPT workspace controls. Data-training defaults depend on whether the user is on a consumer or business plan.Confirmed | Antigravity CLI permissions and sandbox controls Codex agent approvals and security |
“Not publicly confirmed” means the reviewed first-party sources did not establish the capability. It does not mean “unsupported.” No star ratings, review counts, or paid rankings are used.
Editorial bottom line
Choose the workflow that fits the team
Both products can be relevant to AI-assisted software work. Compare the product form, available execution surfaces, documented workflow, pricing model, and governance requirements against the same repository task.
Choose Codex when
Choose Codex when developers who want the same coding agent in ChatGPT, an IDE, and the terminal.
Evaluate both when
Run the same representative repository task and compare output quality, review effort, execution surface, and governance requirements.
Cost scenarios
Compare pricing by workload, not sticker price
Free evaluation
Start with the documented free entry points before comparing paid usage.
Gemini CLI → Antigravity CLI: Antigravity CLI baseline — meaningful weekly quota for users without Google AI Pro or Ultra; this is not the former Gemini CLI free tier
Codex: Codex is included across ChatGPT plans, including Free and Go, with limits that vary by plan
Run the same scoped task in both products and compare review effort, output quality, and limits before standardizing.Daily individual use
Compare the published individual entry and the documented usage model.
Gemini CLI → Antigravity CLI: $19.99/month — Google AI Pro in the United States, with higher Antigravity baseline and weekly limits. Antigravity gives all users baseline access to product features and Gemini models. Users without Pro or Ultra receive a weekly-refreshed quota; Pro and Ultra receive larger quotas refreshed every five hours subject to weekly limits. Pro and Ultra can enable AI Credit overages at Gemini Enterprise Agent Platform consumption rates. Continuing Gemini CLI Standard, Enterprise, and paid API-key access follows separate Google Cloud licensing or usage pricing.
Codex: See official pricing. Codex usage draws from the plan's agentic usage and credit pool. The current rate card primarily maps model input, cached-input, and output tokens to credits.
Use actual workload data rather than treating plans with different usage units as directly equivalent.Governed engineering team
Evaluate governance, billing, identity, and deployment requirements alongside the seat or usage model.
Gemini CLI → Antigravity CLI: See official pricing. Antigravity gives all users baseline access to product features and Gemini models. Users without Pro or Ultra receive a weekly-refreshed quota; Pro and Ultra receive larger quotas refreshed every five hours subject to weekly limits. Pro and Ultra can enable AI Credit overages at Gemini Enterprise Agent Platform consumption rates. Continuing Gemini CLI Standard, Enterprise, and paid API-key access follows separate Google Cloud licensing or usage pricing.
Codex: See official pricing. Codex usage draws from the plan's agentic usage and credit pool. The current rate card primarily maps model input, cached-input, and output tokens to credits.
Validate the exact plan and execution surface with both vendors before making a governance decision.Workflow fit
Recommendations by team scenario
Choose Gemini CLI → Antigravity CLI for its documented primary workflow
Gemini CLI → Antigravity CLI is positioned as Antigravity multi-agent terminal and desktop platform, with legacy Gemini CLI retained for supported enterprise paths. Its source-reviewed guide is the right place to validate its detailed workflow, tradeoffs, and operating model.
Choose Codex for its documented primary workflow
Codex is positioned as Cross-surface coding agent and multi-agent command center. Its source-reviewed guide is the right place to validate its detailed workflow, tradeoffs, and operating model.
Run a governed pilot before standardizing
Product form alone is not enough for a governance decision. Review the official security, privacy, pricing, and execution documentation for the exact plan and deployment model.
FAQ
Questions about Gemini CLI → Antigravity CLI and Codex
What is the main difference between Gemini CLI → Antigravity CLI and Codex?
Gemini CLI → Antigravity CLI is positioned as Antigravity multi-agent terminal and desktop platform, with legacy Gemini CLI retained for supported enterprise paths. Codex is positioned as Cross-surface coding agent and multi-agent command center. The aligned matrix shows how those product forms map to surfaces, workflow, pricing, and governance evidence.
Does Gemini CLI → Antigravity CLI or Codex have a free entry point?
Gemini CLI → Antigravity CLI: Antigravity CLI baseline — meaningful weekly quota for users without Google AI Pro or Ultra; this is not the former Gemini CLI free tier Codex: Codex is included across ChatGPT plans, including Free and Go, with limits that vary by plan
How should a team evaluate Gemini CLI → Antigravity CLI versus Codex?
Run the same representative repository task in both products, then compare the documented execution surface, review effort, output quality, usage limits, and required governance controls.
Which product is safer for private company code?
There is no universal answer. Review the official security, privacy, network, approval, identity, and audit documentation for the exact plan and execution surface your team will use.
Methodology and sources
Primary evidence behind the matrix
Each field is grounded in current first-party product, documentation, pricing, security, privacy, changelog, or help material.
- Google announcement transitioning Gemini CLI to Antigravity CLI · verified 2026-07-12
- Official Gemini CLI transition discussion and enterprise continuity · verified 2026-07-12
- OpenAI Codex product overview · verified 2026-07-12
- Introducing the Codex app · verified 2026-07-12
- Using Codex with your ChatGPT plan · verified 2026-07-12
- Google Antigravity plans, quotas, and AI Credit overages · verified 2026-07-12
- Google AI plans and United States pricing · verified 2026-07-12
- Codex rate card · verified 2026-07-12
- Introducing upgrades to Codex · verified 2026-07-12
- Antigravity Agent Skills · verified 2026-07-12
- Antigravity plugins and MCP extensibility · verified 2026-07-12
- Codex documentation · verified 2026-07-12
- Antigravity asynchronous subagents · verified 2026-07-12
- Antigravity CLI command reference · verified 2026-07-12
- Antigravity CLI permissions and sandbox controls · verified 2026-07-12
- Codex agent approvals and security · verified 2026-07-12
- OpenAI business data privacy · verified 2026-07-12
- SSO for ChatGPT Business · verified 2026-07-12
Related tools
Continue with adjacent AI coding clients
Use the product guides below to widen the shortlist beyond Gemini CLI → Antigravity CLI and Codex without losing the source-reviewed analysis format.
Claude Code
AI coding agentAn agentic coding tool spanning terminal, IDE, desktop, web, and mobile workflows.
Aider
Open-source terminal coding agentA terminal-first AI pair programmer that edits code inside a local Git repository.
Amp
AI coding agentA frontier multi-model coding agent for the terminal and editor.
Warp
Agentic development environmentA native terminal and code workspace backed by local agents and the Oz cloud-agent platform.
Cursor
AI coding clientAn AI code editor that combines hands-on editing with local and cloud agents.
BLACKBOX AI
AI coding agent platformA multi-surface coding platform with an AI-native IDE, extensions, CLI, cloud agents, and APIs.