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Comment by drob518 | Hacker News Reader

I’ve been using v4 Flash 0731 a lot lately and you can’t beat the price performance. That said, it sometimes takes my prompts as more of a suggestion than a directive. I’ve found that introducing a reviewer subagent (even with the same model) helps push it back to what I’ve asked for. But makes every coding session a back and forth: “do X” -> “use a reviewer subagent to analyze whether you really did X as I asked”.

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deepseek-v4-flash-0731 has been awfully prone to infinite looping output in reasoning for me, and once it hallucinated in the middle of going in circles that I had instructed it to start using Yoda-speak, which… I don’t have any idea where that came from.

I have had it loop once. I had to abort the turn, clear the context (maybe I just compacted it?) and restarted. That seemed to clear it up. In general, I have not found that V4 Flash 0731 loops a lot or even any more than other models.

How were you accessing the model? I was using ollama.com’s cloud hosting the first few times I ran into it, and then it happened again the first time I tried Fireworks.ai before I made it even 10% of the way through the context window.

Pi -> OpenRouter -> Deepseek V4 Flash running on a random 3rd party provider (not Deepseek itself)

What model do you normally run the subagent on? You mentioned flash as well for that, but I wonder if a more 'strict' model would do a better job at pushing the main back on track.

For cost reasons, I’ve been using Flash for the reviewer, too, but I plan on trying to use Pro for that. Thus far, however, Flash has been doing well at reviewing. I’m cheap as I’m paying for all the tokens myself.

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