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deepseek-v4.1POST

用 DeepSeek V4.1 Flash 当主力对话模型、Opus 5.5 兜底的工作流

作者在 Claude Code 用 Opus 5.5、在 OMP 用 V4.1 Flash 之间切换:Flash 出词快、10 秒内回话,适合高频迭代;卡住时让它去问 Opus 5.5 或 Gemini 4,或让 Opus 全天调度一群 DeepSeek 干杂活省 token。

Elliot Arledge
@elliotarledge7 天前收录原推发布于 2026.10.24
Elliot Arledge @elliotarledge原推发布于 2026.10.24
在 X 上打开原推

There are two ways that I currently stumble back and forth between when using agents. These primarily consist of Opus 5.5 through Claude Code and DeepSeek v4.1 Flash, the new checkpoint, through OMP. Because I have super fast tokens per second for DeepSeek, it seemed that trying that out as the main model for talking to was really useful. The tool calls were running fast for what I needed them for, and I could usually get responses back within 10 seconds. I could actually stay there and have the context of the question and project in my head, then very quickly get a response back based on that, and then be able to iterate very closely in the loop with the model. When it got stuck, I would ask it to ask Opus 5.5 or Gemini 4 for advice, as those are the main two that I trust. It would take a while because those models would need to do their thing, and then I would just tab over to another agent. Alternatively, I could also just look at the latest response and get enough context from that to tell the model what to do next, and then just have it go on autopilot (meaning Opus 5.5 would go on autopilot for the whole day and organize a swarm of DeepSeeks to do the mundane sort of work, so I don't waste my Opus tokens). I can't universally say which one is better, but I found that when my brain is performing the best on a certain day, having the better interactivity by using DeepSeek as the main back-and-forth model is 10x more powerful than anything slower. Can you relate?

x.com/elliotarledge/status/2113748497531077009采集于 2026.10.24 12:07