231–235 of 235 posts
I’m surprised that people are surprised. Qwen has been hosting private plus and max variants for a while now.
https://huggingface.co/Qwen/Qwen3.5-397B-A17B
So 3.5-plus has been released as open weights.
Has anybody done serious agentic work (e.g. using a CLI harness or simmilar) with 3.5 Plus/3.0 Max and such? How does it compare against Opus with Claude Code? I've used the chat quite a bit and I can't say at this point.
I tried Qwen3.6-plus and it was not as good.
I would love to hear from people using both (Claude Code OR Codex) AND (Qwen) and their experience with Qwen models, are they on par, or how far are they?
Earlier quoted context omitted.
From an espionage perspective your own government is the safest. But from a civil rights perspective your own government is your most immediate threat. China isn't going to arrest me for my opinions on Netanyahu, my own government could And the US government has repeatedly shown that it is very interested in collecting all the data available, just like China. In China this is simply done in the open while the US has…
> China isn't going to arrest me for my opinions on Netanyahu, my own government could I don't know whether you really believe this or it was an off the cuff remark. China is not going to tell you why they plan to arrest you. China is not a benevolent dictatorship.
Earlier quoted context omitted.
> There isn't, pretty much everyone wants the best of the best. For direct user interaction or coding problems, perhaps. But as API calls get cheaper, it becomes more realistic to use them for completely automated workflows against data-sets, or as sub-agents called from expensive SOTA models. For example, in Claude, using Opus as an orchestrator to call Sonnet sub-agents, is a popular usage "hack." That only gets mo…
Exactly. I did create my own MCP with custom agents that combine several tools into a single one. For example, all WebSearch, WebFetch, Context7 exposed as a single "web research" tool, backed by the cheapest model that passes evaluation. The same for a codebase research Use it with both Claude and Opencode saves a lot of time and tokens.
One data point that might help with the research tool: not all APIs work equally well when called by agents. We scored 387 APIs on agent-friendliness and 54% fail the bar. The main gaps are no CLI tool (66%) and no machine-readable pricing (72%). If your research tool is helping agents pick APIs to integrate, the scores at clirank.dev/api/apis?sort=score could save the expensive model from wasting tokens on APIs that'll fail headless.