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Gemini CLI pointed at a different endpoint

Agents at the terminalEN2026-10-29

Pointing Gemini CLI at a different endpoint changes the service behind the terminal, not the basic working environment. You still ask questions about a repository, review proposed edits, and approve commands. The differences appear in authentication, request routing, model availability, and the bill. This note compares Google's endpoint with a Gemini-native route through Vana API.

§ The same terminal, a different service boundary

  • Google endpoint: Gemini CLI connects through its supported Google authentication and service options. Available models, quotas, and charges depend on the authentication method and account configuration.
  • Vana API endpoint: Gemini CLI sends requests to an intermediary that authenticates your account and relays supported model requests. Vana API bills per real token, with no monthly fee.

This is an endpoint comparison, not a claim that every account or model behaves identically. Keep the repository, task, CLI version, and approval settings fixed when testing. Otherwise, a change in local permissions or context can look like a change in model quality.

§ Choose the protocol before changing the address

  • Google endpoint: Gemini CLI uses Google's API conventions for messages, tools, and streamed responses.
  • Vana API endpoint: Use Vana API's Gemini native protocol support. Its OpenAI compatibility alone is not the reason Gemini CLI can connect.

Vana API exposes one endpoint, https://api.vanaapi.com, that also speaks Anthropic Messages and Gemini native protocols. That distinction matters: changing an address does not translate one request format into another. An OpenAI-compatible route is appropriate for an OpenAI SDK, but Gemini CLI needs the Gemini-compatible route.

Check the documented base URL and path handling before adding a version suffix yourself. A client may append its own API version and resource path; duplicating either can produce a routing error that has nothing to do with your key or model.

§ Keep authentication and endpoint configuration together

  • Google endpoint: Use the authentication flow appropriate to your Google account or API key. Its credentials belong to that service.
  • Vana API endpoint: Select Gemini API key authentication and use a Vana API key. A Google sign-in session does not authenticate requests to Vana API.

For Gemini CLI versions that support it, GOOGLE_GEMINI_BASE_URL is the endpoint override, and GEMINI_API_KEY supplies the key for API-key authentication. Confirm those options against your installed version before relying on an example written for another release. Do not confuse the Gemini override with a Vertex-specific endpoint setting.

For an initial test, set the endpoint and key only in a dedicated shell session. Avoid immediately changing global shell configuration or committing credentials to repository settings. To try this route, create a Vana API account and generate a key, then use the documented Gemini-native configuration.

§ Compare a model and a task, not just a connection

  • Google endpoint: Select a model available to your account and record its API identifier.
  • Vana API endpoint: Check the current supported identifier rather than assuming a display name or Google-side alias is accepted unchanged.

Gemini 2.5 Flash is a reasonable candidate to check for a short comparison, provided it is available on both routes. Start with a repository summary, then request a small edit and a test run. Inspect whether tool calls, tool results, and streaming complete correctly. A successful text response establishes connectivity, not full agent compatibility.

Local file and command access still depend on Gemini CLI's permissions. Endpoint support also does not guarantee that every hosted feature, cache behavior, context limit, or authentication-dependent capability will transfer unchanged.

§ Read the costs beside the results

  • Google endpoint: Evaluate the pricing or quota attached to your particular access method.
  • Vana API endpoint: Evaluate recorded token usage and the applicable model rates. No monthly fee does not mean a session has a fixed cost.

Use a fresh session for each trial and record task completion, latency, tool failures, and total charge. Repository context and repeated tool exchanges can add usage beyond the final answer. The practical choice is the route that completes your ordinary work reliably, with an authentication setup and cost record you can understand.