K2 Thinking led open weightsA model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.Full definition → but used a record 140M tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.Full definition → and ran at ~8 tokens/s on the base endpoint, so cheap per-token pricing and slow speed both shape its practical cost.
Key takeaways · AI-distilled
Moonshot's announcement refers only to post-training; Artificial Analysis says the release highlights the continued trend of post-training, specifically RL, driving gains for reasoning models and in long-horizon tasks involving tool useA model's ability to call external functions — run code, search the web, edit files — instead of only generating text.Full definition →.
Its #2 Agentic Index rank, behind only GPT-5, rests largely on 93% on tau2-Bench Telecom, a customer-service tool-use benchmarkA standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.Full definition → and the highest score Artificial Analysis had independently measured.
In coding it wins no eval outright (6th on Terminal-Bench Hard, 7th on SciCode, 2nd on LiveCodeBench) but leads or ties every open-weights model, displacing DeepSeek V3.2 atop the open-weights Coding Index.
It scored 22.3% on Humanity's Last Exam without tools, an all-time high for open-weights models at the time, behind only GPT-5 and Grok 4.
Moonshot's faster turbo endpoint, priced at $1.15/$8, puts the cost to run the Intelligence Index at $1,172, second only to Grok 4 as the most expensive model.
Terms in this piece · Glossary
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
tool use — A model's ability to call external functions — run code, search the web, edit files — instead of only generating text.
benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
