Moonshot AI teases imminent release of Kimi K3 model

Moonshot AI teases imminent release of Kimi K3 model · Digg

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Exactly. Ppl on Twitter all brain-washed to think coding is everything for AI. it's not. GLM 5.2 is good at coding and agentic tasks, yes but that's all. It behaves very bad on other domain, even fails to understand human requirements. Western frontier models are not built to be good at a specific domain only. Even Gemini is good at some domain. The more coding specific models they launch, the greater gap between Eastern and Western. sorry not just "several months".

8:51 AM · Jul 15, 2026

Lisan al Gaib@scaling01

nevertheless im very hyped for Kimi-K3 it will be an insane model and will either force Anthropic and OpenAI to lower prices, bring out their largest and strongest models, or stop them sandbagging their lower and mid-tier models Kimi-K3 should feel like very strong model and will be enough for 99% of coding use-cases

7:42 AM · Jul 15, 2026

OpenModels Market@openmodelsai

@kimmonismus Chinese models are becoming the first choice, not the backup.

7:41 AM · Jul 15, 2026

Kai Benetti@kai_benetti

@kimmonismus high expectations for this one, definitely keeping an eye on the benchmarks

6:39 AM · Jul 15, 2026

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wang dawen@wangdawen58190

@scaling01 不是哥们你一边看不起中国模型，又一边说什么欢迎他们发布之类的，你装你妈呢

8:22 AM · Jul 15, 2026

J A Z I I@notjazii

@zephyr_z9 it's gonna be fun

7:30 AM · Jul 15, 2026

Lisan al Gaib@scaling01

A lot of these people don't understand that Mythos is 5 months old at this point and that what we will look at (coding) is only a small slice of overall capability and typically this sample is not very good as all the good benchmarks are private. and most benchmarks don't look at model sizes or token-efficiency. That said, Kimi-K3 will likely beat Opus 4.8 and GPT-5.5 in several of the usual benchmarks, ... but these benchmarks don't show the full story and these models are not the frontier The frontier to beat is Mythos or in some cases even older models like GPT-5.2. Mind you, DeepSeek-V4, GLM-5.2 or Kimi-K2.6/2.7 haven't solved a single Erdös problem so far. The first publicly available model that solved one was GPT-5.2-Pro, back in November 2025. It's now July 2026. (same on FrontierCode T4 or ARC-AGI-2) If you believe that US companies have a growing compute advantage and that models speed up the development of future models, you should also make a distinction between backward looking gap and the expected/forward looking one Domains matter too. There are different lags for different domains. But overall the backward looking gap is ~7-8 months.

7:40 AM · Jul 15, 2026

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