Gemini CLI vs OpenCode
Compare Gemini CLI and OpenCode by workflow, pricing, privacy, model support, and best use cases.
Gemini CLI
Gemini CLI is worth documenting as an important open-source Google terminal agent, but new individual users should strongly consider Antigravity CLI because Google has made it the forward migration path. Existing users should preserve working configs, review quotas, and plan migration before consumer Gemini CLI service changes take effect.
OpenCode
Choose OpenCode when you want an open, terminal-native coding agent with broad provider choice, local model support, and GitHub workflow automation. Choose a hosted AI IDE or commercial coding assistant instead if you want a more polished out-of-the-box editor experience, bundled billing, or heavy team administration.
Key Differences
Workflow
Gemini CLI is Google’s open-source terminal coding agent for Gemini-powered development workflows, now positioned as a legacy tool transitioning toward Antigravity CLI for future agent-first development.
OpenCode is an open-source, provider-agnostic AI coding agent for developers who want Claude Code-style terminal workflows without being locked to a single model provider.
Pricing
freemium
open-source
compare.fields.localModels
No
Yes
Feature Comparison
| Feature | Gemini CLI | OpenCode |
|---|---|---|
| Primary workflow | Gemini CLI is Google’s open-source terminal coding agent for Gemini-powered development workflows, now positioned as a legacy tool transitioning toward Antigravity CLI for future agent-first development. | OpenCode is an open-source, provider-agnostic AI coding agent for developers who want Claude Code-style terminal workflows without being locked to a single model provider. |
| Type | cli-agent | cli-agent |
| Editor base | CLI | CLI |
| Pricing model | freemium | open-source |
| Starting price | $0 | $0 |
| Free plan | Yes | Yes |
| Open source | Yes | Yes |
| Local models | No | Yes |
| BYOK | Yes | Yes |
| Platforms | macOS, Linux, Windows, Terminal, Node.js/npm, GitHub Actions, Google AI Studio, Vertex AI, Google Cloud, Zed via agent integrations where supported | macOS, Linux, Windows, WSL, Terminal, Desktop app, VS Code, Cursor, Windsurf, VSCodium, ACP-compatible editors, GitHub Actions |
| Models | Gemini 2.5 Pro, Gemini models via Gemini API, Gemini models via Vertex AI | Claude, GPT, Gemini, GitHub Copilot, ChatGPT Plus, ChatGPT Pro, GLM-5.1, GLM-5, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5, MiMo-V2.5-Pro, MiniMax M3, MiniMax M2.7, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, DeepSeek V4 Pro, DeepSeek V4 Flash, Local models |
| Enterprise features | Vertex AI authentication, Google Cloud project-based usage, Gemini Code Assist enterprise workflows, Quota management through Google Cloud and Code Assist plans, GitHub Actions automation, MCP server integration, Enterprise migration path to Antigravity CLI and Google Antigravity | Centralized organization config, SSO integration, Internal AI gateway routing, Ability to disable other AI providers, Per-seat enterprise pricing, No token charge from OpenCode when using an internal LLM gateway, Share feature can be disabled, Private npm registry support through .npmrc, Implementation support, Roadmap support for self-hosted share pages |
| Best for | Existing Gemini CLI users, Terminal-first Gemini workflows, Developers using Google AI Studio or Vertex AI, Codebase exploration, Bug fixing, Test generation and test coverage improvements, GitHub issue triage, Pull request review automation, MCP-connected development tasks, Teams planning migration to Antigravity CLI | Terminal-first developers, Open-source AI coding workflows, Claude Code alternatives, BYOK model routing, Local model experiments, Developers who want to switch between multiple LLM providers, GitHub issue and pull request automation, Teams that want internal AI gateway control, Developers using VS Code, Cursor, Windsurf, or VSCodium with terminal-based agents, Cost-sensitive users who want optional open-model subscriptions |
| Not best for | New individual users who want Google’s forward-looking coding agent platform, Users who need local model execution, Developers who want provider-agnostic model routing, Non-technical users looking for prompt-to-app builders, Teams that cannot allow AI agents to read files or run commands, Users who want a full AI-native editor rather than a terminal agent | Users who want a fully managed proprietary AI IDE with minimal setup, Non-developers building apps from prompts, Developers whose main need is inline autocomplete, Teams that require polished enterprise admin dashboards out of the box, Users who do not want to manage provider credentials, model selection, or usage limits, Highly sensitive projects using public share links or unapproved external providers |
Use Case Winners
Both Gemini CLI and OpenCode have comparable signals here.
OpenCode supports local model workflows.
OpenCode lists more team or enterprise controls.
Neither tool shows a strong signal for this use case in the current structured data.
OpenCode supports more model/provider options or BYOK-style workflows.
Both Gemini CLI and OpenCode have comparable signals here.
Pricing Comparison
Gemini CLI
- Individual Free$0 / month
Free individual Gemini CLI access through Gemini Code Assist for individuals, with Google account authentication and quota limits. Consumer support transitions to Antigravity CLI on June 18, 2026.
- Google AI Pro$19.99 / month
Google AI plan with higher Gemini CLI and AI-tool usage limits while Gemini CLI remains available for the plan.
- Google AI UltraPlan-dependent / month
Higher-usage Google AI tier with expanded access to Google AI features and higher developer-tool quotas where supported.
- Gemini API KeyUsage-based
Use Gemini CLI with a Google AI Studio API key and pay Gemini API token-based pricing.
- Vertex AI / EnterpriseUsage-based
Use Gemini CLI with Vertex AI or enterprise Google Cloud authentication for professional and organizational workflows.
OpenCode
- Open Source$0
MIT-licensed open-source coding agent. Users can install and run OpenCode locally with their own model credentials.
- Bring Your Own ModelUsage-based
Use external LLM providers through API keys, GitHub Copilot login, ChatGPT Plus/Pro login, local models, or OpenAI-compatible endpoints.
- OpenCode ZenPay-as-you-go
Optional curated model gateway with per-token pricing and usage limits for teams or individuals.
- OpenCode Go$5 first month, then $10 / month
Optional subscription for reliable access to selected open coding models, designed especially for international users.
- EnterpriseCustom
Per-seat enterprise plan with centralized config, SSO integration, internal AI gateway routing, and implementation support.
Privacy & Security
Gemini CLI
Gemini CLI can send prompts, local project context, file contents, command output, MCP tool results, and repository metadata to Google or the selected Google Cloud model endpoint depending on authentication method. Users should avoid exposing secrets, credentials, customer data, production tokens, or private files in prompts, terminal output, MCP tools, or files included in context. Extra caution is needed when running Gemini CLI against untrusted repositories because terminal agents can be affected by malicious instructions embedded in project files.
OpenCode
OpenCode states that it does not store code or context data by default, with processing happening locally or through direct API calls to the selected AI provider. The main exception is the optional /share feature, which uploads conversation data to OpenCode-hosted share pages and creates public links. Privacy depends on provider choice, local model usage, enterprise gateway routing, share settings, and whether sensitive files, secrets, or production data are included in context.
Choose Gemini CLI if...
- Existing Gemini CLI users
- Terminal-first Gemini workflows
- Developers using Google AI Studio or Vertex AI
- Codebase exploration
- Bug fixing
Choose OpenCode if...
- Terminal-first developers
- Open-source AI coding workflows
- Claude Code alternatives
- BYOK model routing
- Local model experiments
Avoid Gemini CLI if...
- New individual users who want Google’s forward-looking coding agent platform
- Users who need local model execution
- Developers who want provider-agnostic model routing
- Non-technical users looking for prompt-to-app builders
- Teams that cannot allow AI agents to read files or run commands
Avoid OpenCode if...
- Users who want a fully managed proprietary AI IDE with minimal setup
- Non-developers building apps from prompts
- Developers whose main need is inline autocomplete
- Teams that require polished enterprise admin dashboards out of the box
- Users who do not want to manage provider credentials, model selection, or usage limits