alt Hacker News> GPT OSS 20B is a sparse MoE model. This means it only uses a fraction (3.6B) at a time.
They compared it to GPT OSS 120B, which activates 5.1B parameters per token. Given the size of the model it's more than fair to compare it to Qwen3 32B.
> GPT OSS 20B is a sparse MoE model. This means it only uses a fraction (3.6B) at a time.
They compared it to GPT OSS 120B, which activates 5.1B parameters per token. Given the size of the model it's more than fair to compare it to Qwen3 32B.
You call it fair? 32 / 5.1 > 6, it's takes 6 times more to compute each token. Put it other way, Qwen3 32B is 6 times slower than GPT OSS 120B.