OHarness vs Gemini CLI
Choose Gemini CLI if you work on Gemini and want its free tier — 1,000 requests a day with a Google account — and built-in sandboxing. Choose OHarness if you need Claude, GPT, DeepSeek or local models alongside Gemini in one session.
Gemini CLI’s side checked against its own documentation on . Sources are listed below.
Side by side
| OHarness | Gemini CLI | |
|---|---|---|
| Form factor | Terminal UI, browser UI, desktop app (macOS) and a headless runner — one engine | Terminal UI, VS Code companion, headless mode, GitHub Action |
| Licence and source | Free to use; npm packages MIT. Source repository not public yet | Apache-2.0, source public |
| Models | Anthropic, OpenAI and Gemini natively; any OpenAI-compatible endpoint; 30+ catalogued providers | Gemini only — Google sign-in, Gemini API key or Vertex AI |
| Local models | Ollama, LM Studio and vLLM built in, no key | Not documented for coding (a local Gemma routes between Flash and Pro) |
| Switching mid-session | /model mid-session; history is vendor-neutral, nothing converted | /model between Gemini tiers |
| MCP | Yes — stdio and Streamable HTTP, with OAuth for remote servers | Yes — stdio, SSE and streamable HTTP |
| Permissions | Five modes plus allow/ask/deny rules in user, project and local scopes; deny beats bypass | default, auto_edit, plan, yolo; TOML policy engine; trusted folders |
| Sandbox | No OS sandbox — a policy gate on tool arguments. Use a container for confinement | Optional: Seatbelt, Docker/Podman, gVisor or LXC via --sandbox |
| Subagents | Yes — isolated contexts, run in parallel | Yes — e.g. codebase investigator, @name to call |
| Headless | oharness-headless, JSONL on stdout | gemini -p with --output-format json or stream-json |
| Price | Free with your own key or a local model; optional hosted plan | Free tier: 60 requests/min, 1,000/day with a Google account |
Where Gemini CLI is stronger
- A generous free tier on a frontier model family.
- Built-in sandbox options, including containers and gVisor.
- Google Search grounding built in.
- Public source and a weekly release cadence.
Where OHarness is stronger
- Gemini is one provider of 30+: Claude, GPT, DeepSeek, Kimi, GLM and local models sit beside it.
- Switch from Gemini to another vendor mid-session and nothing is converted.
- Local models through Ollama, LM Studio or vLLM, with no key.
- Browser and desktop UIs on the same engine.
Which to choose
Gemini CLI, if Gemini models are enough, and the free tier and sandboxing matter most.
OHarness, if you want Gemini as one option among many — for example Gemini for long-context reading and Claude or DeepSeek for the edit.
Common questions
Can Gemini CLI use Claude or OpenAI models?
No. Gemini CLI's documentation covers Gemini models only, through a Google account, a Gemini API key or Vertex AI. OHarness speaks Gemini, Anthropic and OpenAI natively in one session.
Can I use Gemini models in OHarness?
Yes, with a Gemini API key: the google provider speaks the Gemini API natively. The Google-account free tier is specific to Gemini CLI.
Sources
Spotted something out of date? Tell us and it will be corrected. More comparisons are on the guides page, and Claude Code alternatives covers what to check before switching.