GPT-5.5 Price Increase: What It Costs
31–40 of 80 posts
Re: GPT-5.5 Price Increase: What It Costs
#32I feel that the recent iterations of LLM haven't provided an intuitive qualitative leap. Have they entered a bottleneck period so quickly?
Re: GPT-5.5 Price Increase: What It Costs
#33We track performance vs. the all-in cost of completing real engineering tasks, rather than cost per token. [1] Cost per token is a bit misleading because, as others have noted, different models use tokens in different ways. (Aside - This is also why TPS isn't a great metric). We found that 5.5 is about 1.5-2x more expensive overall. On a "Pareto" basis, we only find 5.5 xhigh worth it. At the lower reasoning levels,…
Re: GPT-5.5 Price Increase: What It Costs
#34We track performance vs. the all-in cost of completing real engineering tasks, rather than cost per token. [1] Cost per token is a bit misleading because, as others have noted, different models use tokens in different ways. (Aside - This is also why TPS isn't a great metric). We found that 5.5 is about 1.5-2x more expensive overall. On a "Pareto" basis, we only find 5.5 xhigh worth it. At the lower reasoning levels,…
Interesting! I've been thinking about how to create a similar type of evaluation system for myself. How do you handle tweaks to agentic tasks? Say that a model gets pretty close to what you want, so you just need a quick follow up prompt to the original response?
If the changes needed are small, I'll apply the best implementation as a foundation and then just iterate directly.
If the changes needed are drastic, it usually signals that there was sth wrong/ambiguous/etc in the spec (or the ensemble was too weak, which is rarely the case). In cases like this, I improve the spec and then rerun.
If it's in the middle, I'll usually apply the best and write a follow on spec.
Re: GPT-5.5 Price Increase: What It Costs
#35I feel that the recent iterations of LLM haven't provided an intuitive qualitative leap. Have they entered a bottleneck period so quickly?
Re: GPT-5.5 Price Increase: What It Costs
#36This doesn't seem to be controlling for the number of turns in any way. Am I missing something? Stronger models needing fewer turns to achieve a task feels like a prime source of efficiency gains for agentic coding, more so than individual responses being shorter.
Re: GPT-5.5 Price Increase: What It Costs
#37I feel that the recent iterations of LLM haven't provided an intuitive qualitative leap. Have they entered a bottleneck period so quickly?
Re: GPT-5.5 Price Increase: What It Costs
#38I feel that the recent iterations of LLM haven't provided an intuitive qualitative leap. Have they entered a bottleneck period so quickly?
Re: GPT-5.5 Price Increase: What It Costs
#39We track performance vs. the all-in cost of completing real engineering tasks, rather than cost per token. [1] Cost per token is a bit misleading because, as others have noted, different models use tokens in different ways. (Aside - This is also why TPS isn't a great metric). We found that 5.5 is about 1.5-2x more expensive overall. On a "Pareto" basis, we only find 5.5 xhigh worth it. At the lower reasoning levels,…
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Re: GPT-5.5 Price Increase: What It Costs
#40Has any enterprising hacker here yet graphed price vs "output" over time since 2023, taking "quality" into account? That's got to be a very tricky analysis given how subjective quality is. But I'm sure there are people trying to pin it down.