Google’s pro models are almost certainly bigger than Openai’s lol

Why would that be? I am curious why do you think that.

E.g. because they are behind on research and so must compensate with size to achieve similar level of intelligence. At least this is what I heard.

For intelligence/size only OpenAI and Anthropic are the frontier. Google has more compute so it can compensate for that with size of the models...

I'd argue Qwen is pushing the Pareto frontier considerably further when you take size into account.

Going to assume you didnt capture the data but could you add time taken to completion for each if you have it?

Does anyone know how they turn html to enable powerpoints so seamlessly?

The benchmarks they released

What do you mean? In most cases, the benchmarks show a larger number for Muse and a smaller number for Opus.

In Multimodal yes, but Opus is definitely edging out in Text/Reasoning and Agentic benchmarks.

I think the general skepticism is because they are late to race, and they are releasing a Opus-4.6-equivalent model now, when Anthropic is teasing Mythos.

LLM comment spotted

I mean looking antigravity, jules & gemini cli, they have have no problem with their developers fighting for resources