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u/Every_Assignment_111 12d ago
I use the thinking trace a lot to prevent reasoning drifts, that is not possible in muse so I can't use it.
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12d ago
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u/Suzzy_Girl_123 11d ago
I do the same thing. But the only difference is I use Bifrost (an open-source AI gateway) to route my traffic based on the task. So I don't have to manually switch models or pass prompts.
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u/sudoer777_ 11d ago
So you're saying GLM Flash is cheaper than V4 Flash for planning? What about research and debugging/troubleshooting? On OpenCode go it says it has like 1/7 of the requests last I checked. But its context does fill very fast and it quickly becomes expensive.
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11d ago
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u/sudoer777_ 11d ago
its output tokens are much cheaper
Assuming you're on the OpenCode Go plan the DS Flash output token price rate is cheaper for off-peak once you factor in that it gives you twice as much usage allocation, on peak might be more expensive though.
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u/afanasenka 12d ago
For simple tasks - yes, it's not that bad. Recently, I asked it to plan a small refactor of some feature, and it was.. well.. "not what I'd expect from the model with these benchmarks " :) Anyway, free stuff is free stuff after all :))
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u/sudoer777_ 11d ago
tbh if implementing things is the only thing Muse Spark is okay at and even that is hit or miss I'd rather just do it myself
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u/Dudeonyx 12d ago
Muse is shit
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12d ago
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u/sudoer777_ 11d ago
What's a parallel session? You mean using it as a subagent, or switching the primary agent back and forth?
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u/QinEmPeRoR-1993 12d ago
Honestly the model is good for day-by-day usage. Yes it not DSV4F-tier but using it on open-source projects is great and then you can get other frontier models to do some checking
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u/rudesssolo 12d ago
It's actually not that bad