It's actually more expensive than GPT-5.1. I've gotten used to prices going down with each latest model, but this time it's gone up. https://platform.openai.com/docs/pricing
Gemini 3 Pro Preview also got more expensive than 2.5 Pro. 2.5 Pro: $1.25 input, $10 output (million tokens) 3 Pro Preview: $2 input, $12 output (million tokens)
GPT-5.2
431–440 of 1001 posts
Re: GPT-5.2
#432We built a benchmark tool that says our newest model outperforms everyone else. Trust me bro.
Re: GPT-5.2
#433Re: GPT-5.2
#434I suppose this is as good a place as any to mention this. I've now met two different devs who complained about the weird responses from their LLM of choice, and it turned out they were using a single session for everything. From recipes for the night, presents for the wife and then into programming issues the next day. Don't do that. The whole context is sent on queries to the LLM, so start a new chat for each topic.…
Problem is that by default ChatGPT has the “Reference chat history” option enabled in the Memory options. This causes any previous conversation to leak into the current one. Just creating a new conversation is not enough, you also need to disable that option.
Re: GPT-5.2
#435Re: GPT-5.2
#436- It is faster which is appreciated but not as fast as Opus 4.5
- I see no changes, very little noticeable improvements over 5.1
- I do not see any value in exchange for +40% in token costs
All in all I can't help but feel that OpenAI is facing an existential crisis. Gemini 3 even when its used from AI Studio offers close to ChatGPT Pro performance for free. Anthropic's Claude Code $100/month is tough to beat. I am using Codex with the $40 credits but there's been a silent increase in token costs and usage limitations.
Re: GPT-5.2
#437But how much of each product they release also just a factor of how much they are willing to spend on inference per query in order to stay competitive?
I always wonder how much is technical change vs turning a knob up and down on hardware and power consumption.
GTP5.0 for example seemed like a lot of changes more for OpenAI's internal benefit (terser responses, dynamic 'auto' mode to scale down thinking when not required etc.)
Wondering if GPT5.2 is also case of them in 'code red mode' just turning what they already have up to 11 as a fastest way to respond to fiercer competion.
Re: GPT-5.2
#438Re: GPT-5.2
#439Re: GPT-5.2
#440Feels like a Llama 4 type release. Benchmarks are not apples to apples. Reasoning effort is across the board higher, thus uses more compute to achieve an higher score on benchmarks.
Also notes that some may not be producible.
Also, vision benchmarks all use Python tool harness, and they exclude scores that are low without the harness.