Now compare the monthly plans for business users who want the CLI agent but who don’t want the models trained on their data.

OpenAI: no big deal — sign up, pick your number of seats, and you’re all set.

Anthropic: also no big deal but there’s an obnoxious minimum purchase.

Google: first you have to try to figure out what the product is called. Then you need to figure out how to set the correct IAM rules. Then you have to sign up and pay for it. Maybe you succeed. Maybe you give up after an hour or two of cursing. Gemini is, of course, completely unable to help. (OpenAI clearly has not trained their models on how to operate their tools. Google’s models hallucinate Google’s product offerings so outrageously that I’m not sure I could tell. I haven’t asked Claude about Claude Code.)

At least the monthly pricing is similar once you get over the hurdles.

If we don't see a huge gain on the long-term horizon thinking reflected with the Vendor-Bench 2, I'm not going to switch away from CC. Until Google can beat Anthropic on that front, Claude Code paired with the top long-horizon models will continue to pull away with full stack optimizations at every layer.

still no minimal reasoning in G3.1P :(

(this is why Opus 4.6 is worth the price -- turning off thinking makes it 3x-5x faster but it loses only a small amount of intelligence. nobody else has figured that out yet)

Looks like its cheaper than codex ??? this might be interesting then

> Knowledge cutoff is unchanged at Jan 2025.

Isn't that a bit old?

Sounds like the update is mostly system prompt + changes to orchestration / tool use around the core model, if the knowledge cutoff is unchanged