11–20 of 364 posts
Why does an open weights model cost nearly the same as GPT5.6? $1.14 vs $1.23 on the cost index. Since you can't presumably run this on your own hardware given the model size and hence gain other things like privacy, I don't see any reason to move away from GPT at this rate.
Why does an open weights model cost nearly the same as GPT5.6? $1.14 vs $1.23 on the cost index. Since you can't presumably run this on your own hardware given the model size and hence gain other things like privacy, I don't see any reason to move away from GPT at this rate.
Why does an open weights model cost nearly the same as GPT5.6? $1.14 vs $1.23 on the cost index. Since you can't presumably run this on your own hardware given the model size and hence gain other things like privacy, I don't see any reason to move away from GPT at this rate.
Why does an open weights model cost nearly the same as GPT5.6? $1.14 vs $1.23 on the cost index. Since you can't presumably run this on your own hardware given the model size and hence gain other things like privacy, I don't see any reason to move away from GPT at this rate.
For one thing, providers of open models can't arbitrarily increase their prices without facing competition.
Strange that the page https://artificialanalysis.ai/agents/coding-agents doesn't even mention "Qwen" once if it's now the "best" according to one of their one index?
https://artificialanalysis.ai/models/qwen3-8-max
Doesn't have the claim either. Clickbait?
Strange that the page https://artificialanalysis.ai/agents/coding-agents doesn't even mention "Qwen" once if it's now the "best" according to one of their one index?
Strange that the page https://artificialanalysis.ai/agents/coding-agents doesn't even mention "Qwen" once if it's now the "best" according to one of their one index?
Different benchmarks: > Artificial Analysis Agentic Index: Represents the weighted average of agentic capabilities benchmarks in the Artificial Analysis Intelligence Index (GDPval-AA v2, Tau³-Banking) > Artificial Analysis Coding Agent Index v1.3 incorporates 3 benchmarks: DeepSWE, Terminal-Bench v2, and SWE-Atlas-QnA Qwen3.8 Max is 55.4 on the Agentic Index but hasn't been tested for the Coding Agent Index.
I am so excited for Qwen 3.8 27B. It’s a shame how slow prefill (~3-400) is on a strix halo but it’s such a good model for agentic tasks.