Positive users praise Kimi K3's strong performance matching competitors and open-weights potential, while negative users criticize its pricing and efficiency as poor value.
Based on 40 visible X reactions from 174 accounts.
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@theo Nah, you're just paid by OpenAI and other companies. I'm tired of people that are paid and have vested interests with either stocks/model previews betas and other stuff like that throwing in the air biased claims and trying to convince people that they are impartial
@theo Im not tapped into benchmarking and stuff can someone tell me if it stacks up to fable and how token hungry it is
@theo REALLY EXCITED for the weights to be out and for providers to figure out hosting it
@maria_rcks @theo Super excited to run locally
@theo Thanks for the incredible and authentic review!
@theo I’m tired of people saying K3 is good when it’s not
Kimi k3 is an incredible model. It is not an incredible value. In most tasks, it comes out to roughly the same cost as GPT-5.6 Sol. K3 is half the price of 5.6 Sol per token. GPT-5.6 uses half as many tokens. Price evens out. GPT-5.6 is 2x faster TPS, so it gets work done ~4x faster than K3 at roughly the same price. I still love K3 and will be using it for a TON of stuff. I'm just tired of people pretending it's way cheaper when it's not.
@ClementDelangue Without significant quantization? I’m down to bet. Free ad spot if I’m wrong, $10k of compute credit on HF if I’m right? Either way I feel like a winner because I get a great model for cheap
Positive users praise Kimi K3's strong performance matching competitors and open-weights potential, while negative users criticize its pricing and efficiency as poor value.
Based on 40 visible X reactions from 174 accounts.
Ask a question below.
Published answers will appear here.
Just wait for open weights and inference optimization!
@theo What do you want to bet? I’ll take the over 20% compared to current API price in less than 3 months
@ClementDelangue My honest estimate is that it will help by like 20% at most. Hope I’m wrong though.