Well, I've been studying OpenAI's business moves lately. They seem to be shifting away from their open-source roots and focusing more on pleasing investors than regular users.

Looking at this pricing table, we can see their current model lineup:

• o1-pro: A beefed-up version of o1 with more compute power

• GPT-4.5: Their "largest and most capable GPT model"

• o1: Their high-intelligence reasoning model

The pricing structure really stands out:

• o1-pro output tokens cost a whopping $600 per million

• GPT-4.5 is $150 per million output tokens

• o1 is relatively cheaper at $60 per million output tokens

Honestly, that price gap between models is pretty striking. The thing is, input tokens are expensive too - $150 per million for o1-pro compared to just $15 for the base o1 model.

So, comparing this to competitors:

• Deepseek-r1 charges only around $2.50 for similar output

• The qwq-32b model scores better on benchmarks and runs on regular computers

The context window sizes are interesting too:

• Both o1 models offer 200,000 token windows

• GPT-4.5 has a smaller 128,000 token window

• All support reasoning tokens, but have different speed ratings

Basically, OpenAI is using a clear market segmentation strategy here. They're creating distinct tiers with significant price jumps between each level.

Anyway, this approach makes more sense when you see it laid out - they're not just charging high prices across the board. They're offering options at different price points, though even their "budget" o1 model is pricier than many alternatives.

So I'm curious - do you think this tiered pricing strategy will work in the long run? Or will more affordable competitors eventually capture more of the market?