I’m being down voted. I don’t have an agenda. I’m simply sharing my experience. If you’re getting good results with Gemini CLI as an alternative to Claude Code, please let me know what you’re doing to get that performance.
I’m impressed by Gemini Pro 2.5’s NLP capabilities. I use that model in production on several projects. My comments are directed only at Gemini CLI. Which FWIW is better than OpenAI Codex CLI, but much worse (for me) than Claude Code.
Even with Pro, the strict token limits combined with the model's tendency to add unrequested modifications means I run out of tokens before completing my intended tasks. Others have the same issue
https://github.com/google-gemini/gemini-cli/issues/4300
I’m impressed by Gemini Pro 2.5’s NLP capabilities. I use that model in production on several projects. My comments are directed only at Gemini CLI. Which FWIW is better than OpenAI Codex CLI, but much worse (for me) than Claude Code.
Even with Pro, the strict token limits combined with the model's tendency to add unrequested modifications means I run out of tokens before completing my intended tasks. Others have the same issue https://github.com/google-gemini/gemini-cli/issues/4300