# Gemini, get your act together > Source: > Published: 2026-11-11 17:33:32+00:00 Two weeks after announcing Gemini Carbon, Google has finally made it available to users. Their benchmarks were, as always, impressive: A model which outperforms Claude Fable 5.1 on every benchmark? I need to try this… Yes, waiting two weeks after announcement to release a model in this industry is long, unheard of even. BUT, on the bright side, it’s probably a polished model now, ready to be served, **right??** The above is an OpenRouter request log from one of my sessions, where I was trying to use Carbon for some light coding tasks and evals. It shows the Carbon’s performance across turns, notably with a: - Time to First Token (TTFT) of 165s - Throughput < 20 tok/s That’s insane. Unusable. **Embarrassing even.** I’ve never seen any model perform like this. Mind you I’m using OpenRouter, which routes to the best provider at that time. This degraded performance is unfortunately not a one-off. Across my testing in the past two days, I’ve experienced poor performance for this model during most of my testing. (One notable exception was a session I had at 12am mountain time last night where I got *average* performance, ~30 tok/s, 10s TTFT) Compare that with Fable 5.2, a model released by a company which: - has order of magnitude less experience in infrastructure than Google - has been in business for 5 years (compare to Google’s 28) - **ISN’T A TOP 3 CLOUD PROVIDER** p50 mind you… Never mind all the usual Gemini bugs, which somehow still haven’t gone away [see gemini article](https://alsado.ca/posts/gemini/). In 2026, I still don’t see a path where I could adopt Gemini models for anything requiring reliable intelligence. Looks like Bidaya’s Vertex AI credits are gonna go unused, too bad.