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What would tokens/sec performance look like for a reasoning model? An order of magnitude slower?
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Reasoning models are the same speed. They’re just post trained with RL to do CoT inside tags like <thinking></thinking> before a tag like <response></response>

There’s no difference in the inference implementation, parameter count, or speed.

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There's a difference in the latency distribution between when you submit a query and you see the response, which is what the comment is (clumsily) asking about.

But yeah, there are a lot of factors, so it's hard to answer, and tokens/s isn't the right question.

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Which model? Or how many active parameters?
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Llama 3.1 8B model
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So this demo is around 90 times faster than typical speeds for the same model at openrouter, and around 30 times faster than the absolute fastest option available (Groq).
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