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I've been trying this Gemini 3.8 Flash for a day. Looks not much different than Gemini 3.7 Flash in my use case: I have Codex (gpt-5.6 sol) write up a design pl

I've been trying this Gemini 3.8 Flash for a day. Looks not much different than Gemini 3.7 Flash in my use case: I have Codex (gpt-5.6 sol) write up a design plan to implement a feature or refactor a portion of a system I am building, and have Claude (Opus-5) and Gemini (3.8 Flash) review and critique the plan, until all problems are addressed by Codex and approved by the reviewers; then have a cheaper model of Codex (gpt-5.6 luna) implement the plan, and still have Claude (Opus-5) and Gemini (3.8 Flash) review and critique the implementation, until all problems are addressed by Codex and approved by the reviewers. The result is the same as the previous Gemini 3.6/3.7 Flash days: Claude could always note much more problems in Codex's plan and implementation than Gemini could - the ratio is like 10:1. I occasionally switch the roles between Codex and Claude, and result is the same, Codex could always catch much more problems in Claude's plan and implementation, than Gemini could. So I am guessing in a relatedly complex codebase, Gemini is much less effective in acting as a guardrail (or a senior engineer/team lead) than the other SOTA models.

camkego 1mo ago
I find this very interesting, I wonder if there is a public benchmark that reflects this “red team coding critique” aspect of the current SOTA model that reflects what you have observed. It would be really useful to observe this in a benchmark vs. the more common “go implement this, or fix this bug” type benchmarks that seem to be prevalent.
- wwind123 1mo ago
  Yeah, my tool to automate these review loops is https://github.com/wwind123/coding-review-agent-loop https://github.com/wwind123/coding-review-agent-loop . It's basically a script calling Claude, Codex and Antigravity CLI's. The benefit of using CLI's is, the tool uses quota in your subscription plan of these AI providers, which is much cheaper than using extra tokens from the same providers to do the same thing. A couple of months ago (before opus-5 and gpt-5.6 sol), The ratio of problems caught by codex/claude vs gemini was more like 2:1 to 3:1. But now it seems codex and claude have made huge leaps and gemini is more or less staying put.
  - wwind123 27d ago
    Amazingly, these few days the Gemini 3.8 Flash (High) has been catching much more problems in code reviews than before. I think it started from the second day since I posted the observation above. Maybe somebody from Google saw my posts and tuned some knobs in the model to allow more critical thinking? Another observation, Gemini's review on code is more critical now, but its review on design plans is still quite agreeable - it tends to approve Codex's design plan immediately, while Claude could often pick out a bunch of problems in the design plan in the first round of reviews.

camkego 1mo ago

I find this very interesting, I wonder if there is a public benchmark that reflects this “red team coding critique” aspect of the current SOTA model that reflects what you have observed. It would be really useful to observe this in a benchmark vs. the more common “go implement this, or fix this bug” type benchmarks that seem to be prevalent.

wwind123 1mo ago
Yeah, my tool to automate these review loops is https://github.com/wwind123/coding-review-agent-loop https://github.com/wwind123/coding-review-agent-loop . It's basically a script calling Claude, Codex and Antigravity CLI's. The benefit of using CLI's is, the tool uses quota in your subscription plan of these AI providers, which is much cheaper than using extra tokens from the same providers to do the same thing. A couple of months ago (before opus-5 and gpt-5.6 sol), The ratio of problems caught by codex/claude vs gemini was more like 2:1 to 3:1. But now it seems codex and claude have made huge leaps and gemini is more or less staying put.
- wwind123 27d ago
  Amazingly, these few days the Gemini 3.8 Flash (High) has been catching much more problems in code reviews than before. I think it started from the second day since I posted the observation above. Maybe somebody from Google saw my posts and tuned some knobs in the model to allow more critical thinking? Another observation, Gemini's review on code is more critical now, but its review on design plans is still quite agreeable - it tends to approve Codex's design plan immediately, while Claude could often pick out a bunch of problems in the design plan in the first round of reviews.