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ah, yes, that seems right

I was using it quite a while back, different model, different quotas, but for coding tasks it routinely hit quotas which made it quite difficult to actually use.

100s/min seems pretty poor actually with sub-agents etc.

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iirc input (uncached) goes towards the limit as well
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What's the tok/s when they process input?
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It seems you forgot to account for the fact that cerebras uses a baker's minute which is 144 seconds instead of 60. (Seriously though what's the supposed issue here?)
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The issue is that all input (including context) counts towards that limit. So 10 requests with 50k of context will blow through the limit, even if little to no output was generated, which is incredibly easy to do with agentic workloads.
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