Gemini CLI vs Goose
Gemini CLI (CLI / terminal agent, Free (Flash) + Google AI Pro) vs Goose (CLI / terminal agent, Free (open source) + API costs): pricing, models, open-source status, benchmarks, and best use cases. See which AI coding agent is right for your workflow.
Gemini CLI
Goose
| Comparison | Gemini CLI | Goose |
|---|---|---|
| Category | CLI / terminal agent | CLI / terminal agent |
| Type | Terminal agent | Terminal agent |
| Vendor | Block | |
| Pricing | Free (Flash) + Google AI Pro | Free (open source) + API costs |
| Open source | Yes | Yes |
| Models | Gemini 3.1 Flash, Gemini 3.1 Pro | Any (Claude, GPT, Gemini, local models) |
| Benchmarks | Not published | Not published |
| Best for | Google ecosystem users, long-context tasks, low-cost experimentation on Flash | Enterprise-friendly open-source agents, MCP extensibility, any-model workflows |
Gemini CLI is open source and best for google ecosystem users, long-context tasks, low-cost experimentation on flash. Google's open-source terminal agent for Gemini models. Up to 1M-token context on Pro models. Free tier is generous for Flash; Pro models need a paid Google AI or API plan.
Goose is open source and best for enterprise-friendly open-source agents, mcp extensibility, any-model workflows. Block's open-source AI agent built around the Model Context Protocol (MCP) for extensible tool use. Supports any model provider with an enterprise-friendly posture.
Both tools are part of the 2026 AI coding agent landscape. The right choice depends on whether you need a CLI / terminal agent or a CLI / terminal agent, your budget, and which models you prefer. See the full list of coding agents on our coding agents page to compare more options.