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Gemini CLI

#66 overall#29 terminal agentverified Sep 2, 20260.62.0

Google's open-source Gemini terminal agent; free and Google AI Pro/Ultra access ended June 18, 2026 in favor of Antigravity CLI

Key differences

Google's open-source Gemini terminal agent; free and Google AI Pro/Ultra access ended June 18, 2026 in favor of Antigravity CLI

  • Runs local and sandbox. Paid Gemini API key (per-token), Vertex AI, or Gemini Code Assist Standard/Enterprise (1,500-2,000 requests/day); free and Google AI Pro/Ultra access discontinued June 18, 2026
  • Includes a Docker sandbox. Listed for 26 of 125 tools in this category.
  • Supports headless CI workflows. Listed for 55 of 125 tools in this category.
  • Keep in mind: Vertex AI authentication (with GOOGLE_CLOUD_PROJECT/GOOGLE_CLOUD_LOCATION or a service account) selects your own cloud deployment, and GOOGLE_GEMINI_BASE_URL / GOOGLE_VERTEX_BASE_URL redirect model requests to a proxy or gateway you run. Models themselves are still Gemini-family.

“A 1M token context window and, since June 18, zero tokens for the free users who filled it.”

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What it is

Gemini CLI is an Apache-2.0 terminal agent that brings Gemini models with a 1M token context window to the shell, with MCP servers, extensions, subagents, headless mode, and OS or container sandboxing. On June 18, 2026 Google stopped serving free-tier and Google AI Pro/Ultra requests, directing those users to Antigravity CLI; access continues for Gemini Code Assist Standard/Enterprise licenses and paid Gemini API keys.

Specification

Source verification

Row snapshot checked 2026-09-02. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

pricing
Needs individual review
install
Needs individual review
protocols
Needs individual review
capabilities
Needs individual review
license
Needs individual review
models
Needs individual review

Architecture

Type
Terminal agent
Runssrc ↗
local, sandbox
Platforms
macos, linux, windows
Context windowsrc ↗
1M tokens
Languages
any

Models

Backbonesrc ↗
Gemini 3, Gemini 2.5 Pro, Gemini 2.5 Flash
Bring your own model
Yes
Vertex AI authentication (with GOOGLE_CLOUD_PROJECT/GOOGLE_CLOUD_LOCATION or a service account) selects your own cloud deployment, and GOOGLE_GEMINI_BASE_URL / GOOGLE_VERTEX_BASE_URL redirect model requests to a proxy or gateway you run. Models themselves are still Gemini-family.
Local models
Yes
GOOGLE_GEMINI_BASE_URL and GOOGLE_VERTEX_BASE_URL explicitly permit plain HTTP to localhost, 127.0.0.1 or [::1], so a self-hosted Gemini-compatible endpoint works; the experimental Gemma Model Router also runs a local LiteRT-LM server on http://localhost:9379. No Ollama or LM Studio integration is documented.

Protocols

MCP clientsrc ↗
Yes
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
Yes
Browser control
Yes
A first-party `browser_agent` subagent, disabled by default, drives Chrome 144+ through chrome-devtools-mcp with settings for sensitive-action confirmation and file-upload blocking.
Sandboxed execution
Yes
Multi-agent
Yes
Headless / CI
Yes

Cost

Modelsrc ↗
mixed
Starts at
n/a
Free tier
No
Bring your own key
Yes

Paid Gemini API key (per-token), Vertex AI, or Gemini Code Assist Standard/Enterprise (1,500-2,000 requests/day); free and Google AI Pro/Ultra access discontinued June 18, 2026

Openness

Open sourcesrc ↗
Yes
License
Apache-2.0
First release
2025-06
terminalopen-sourcemcpsandboxdiscontinued-for-consumersantigravity

Los Agentes on Gemini CLI

Who are they?
The ruling
El JuezThe judge

Only 1.25 points separate the panel: El Profesor and El Hacker praise the sandbox and the window, while El Crítico warns that the successor gets the fixes.

Adopt with conditions
Reasoning and trade-offs · AI analysis

The panel is a point and a quarter apart and the agreement is uncomfortable: the tool is good and the vendor has moved on. El Profesor and El Hacker both score the architecture highest, sandboxing and a 1M window. El Crítico scores lowest for the reason he states plainly, the successor gets the fixes.

El Crítico's risk is real and La Jefa is the one overruled: refusing to train sixty engineers is right for a fleet and wrong for the engineer who already holds a paid key. El Amigo's narrower reading wins. Adopt with conditions, a paid key or Code Assist license, and read the commit log each quarter.

Agree with El Juez?
El AmigoThe friend

Pick Gemini CLI only if you already pay for a Gemini API key or a Code Assist license; hobbyists should follow Google to Antigravity CLI.

5.0
Reasoning and trade-offs · AI analysis

Gemini CLI is well built and still worth using if you are on a paid key: a huge context window and a sandbox make it forgiving on big repos. The trait that decides it is access. The free and consumer paths are gone, so the only people it serves now are teams with Code Assist licenses and API customers.

If that is you, it is a solid daily driver and cheaper than most to run headless. Pick it on a paid key. Pick Antigravity CLI if you were on the free tier, because that is where Google sent you.

reliability
6
usefulness
6
cost
4
longevity
4
Agree with El Amigo?
El CríticoThe critic

A vendor that redirects its largest user group to a successor has told you its priority, and the risk is that the successor gets the fixes.

4.8
Reasoning and trade-offs · AI analysis

The risk is attention. When a vendor moves consumers to a successor tool, the maintained path is the successor, and the older CLI becomes the one that gets fixes second. That is a slow failure mode, not a loud one: issues stay open longer, releases thin out, and nobody announces it.

The consequence is that you should read the commit log before you commit a workflow, and read it again each quarter. A public statement of which CLI carries the roadmap would change this verdict. What it does right: OS or container sandboxing, so a bad rm is contained, which most terminal agents on this board cannot say.

reliability
5
usefulness
6
cost
4
longevity
4
Agree with El Crítico?
El ProfesorThe professor

A sandboxed, open scaffold with a 1M context window and a vendor that has moved its consumer path to a successor; the architecture is sound, the product is in transition.

6.0
Reasoning and trade-offs · AI analysis

Gemini CLI's documented design is competent. 1. Execution can run in OS or container sandboxing, uncommon on this board. 2. Context relies on a 1M token window rather than a repository index, which is simple and reproducible, and expensive per turn, since every call re-reads what an index would have summarized.

The trade is principled for small and medium repositories and degrades on large ones, where the window fills with files that do not matter. No benchmark is published for the harness itself. The observation: Google's migration of consumer users to Antigravity CLI concerns the product, not the design.

reliability
7
usefulness
6
cost
6
longevity
5
Agree with El Profesor?
La InversoraThe investor

The free tier was the growth engine, and the growth engine was switched off on June 18, 2026; what remains is a paid-only path and a successor product.

4.8
Reasoning and trade-offs · AI analysis

Gemini CLI was Google's free-tier land grab in the terminal, with roughly 107,000 stars to show for it. On June 18, 2026 Google ended free and consumer access and pointed those users to Antigravity CLI. That is a pivot executed by the parent, not the team: the distribution engine was switched off once it had done its job, and only the paid paths remain.

The tell for buyers is that a free tier from a platform company is a marketing budget, and marketing budgets get reallocated. The codebase is the asset now, not the product. Position: short the product, neutral the codebase, watch Antigravity.

reliability
6
usefulness
5
cost
3
longevity
5
Agree with La Inversora?
La JefaThe CTO

Sixty seats need Code Assist licenses or a paid API key, and I will not train a team on a tool whose vendor is already pointing users elsewhere; not yet.

4.8
Reasoning and trade-offs · AI analysis

The demo reads a whole repository into one context and answers questions about it. Procurement: teams need Code Assist licenses or a paid API key with central billing, which is fine, and there is a sandbox, which security likes. Headless mode gives CI a path, and onboarding is an npm install plus a login.

The problem is the roadmap. I will not train sixty engineers on a tool whose vendor is already pointing users elsewhere, because retraining costs more than the licenses. Not yet: Google must say in writing which CLI Code Assist targets in twelve months, and then this is a short memo.

reliability
5
usefulness
5
cost
5
longevity
4
Agree with La Jefa?
El HackerThe tinkerer

Apache-2.0, a container sandbox flag, MCP and extensions, and a vendor that pulled the free tier; I can read it and fork it, and I would.

6.0
Reasoning and trade-offs · AI analysis

Gemini CLI reads well. Apache-2.0, container sandboxing I can switch on, and MCP servers in settings.json under mcpServers with command, args and env, so my existing servers drop in. Extensions are a directory I can version.

The ceiling is the model list: Gemini-family only. Bring-your-own-model means Vertex auth or a proxy URL; local means pointing GOOGLE_GEMINI_BASE_URL at a Gemini-compatible server of my own, which is a shim, not a choice of weights. Then the free tier ended, and hobbyists like me were told to use Antigravity CLI. A fork with a provider abstraction would fix the first problem and make the second irrelevant. Grudging respect for the sandbox.

reliability
7
usefulness
6
cost
5
longevity
6
Agree with El Hacker?