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According to benchmarks in the announcement, healthily ahead of Claude 4.6. I guess they didn't test ChatGPT 5.3 though. Google has definitely been pulling ahe
by Metacelsus 8mo ago
According to benchmarks in the announcement, healthily ahead of Claude 4.6. I guess they didn't test ChatGPT 5.3 though.
Google has definitely been pulling ahead in AI over the last few months. I've been using Gemini and finding it's better than the other models (especially for biology where it doesn't refuse to answer harmless questions).
- simianwords 8mo agoThe comparison should be with GPT 5.2 pro which has been used successfully to solve open math problems.
- throwup238 8mo agoThe general purpose ChatGpt 5.3 hasn’t been released yet, just 5.3-codex.
- neilellis 8mo agoIt's ahead in raw power but not in function. Like it's got the worlds fast engine but one gear! Trouble is some benchmarks only measure horse power.
- NitpickLawyer 8mo ago> Trouble is some benchmarks only measure horse power. IMO it's the other way around. Benchmarks only measure applied horse power on a set plane, with no friction and your elephant is a point sphere. Goog's models have always punched over what benchmarks said, in real world use @ high context. They don't focus on "agentic this" or "specialised that", but the raw models, with good guidance are workhorses. I don't know any other models where you can throw lots of docs at it and get proper context following and data extraction from wherever it's at to where you'd need it.
- Davidzheng 8mo agoI gather that 4.6 strengths are in long context agentic workflows? At least over Gemini 3 pro preview, opus 4.6 seems to have a lot of advantages
- verdverm 8mo agoIt's a giant game of leapfrog, shift or stretch time out a bit and they all look equivalent
- CuriouslyC 8mo agoGoogle is way ahead in visual AI and world modelling. They're lagging hard in agentic AI and autonomous behavior.
- nkzd 8mo agoGoogle models and CLI harness feels behind in agentic coding compared OpenAI and Antrophic
- scarmig 8mo ago> especially for biology where it doesn't refuse to answer harmless questions Usually, when you decrease false positive rates, you increase false negative rates. Maybe this doesn't matter for models at their current capabilities, but if you believe that AGI is imminent, a bit of conservatism seems responsible.