1 source filed · EN 1
Mixture-of-experts: 2.8T total and 104B activated parameters, 93 layers, 896 experts with 16 selected per token, 1M-token context, 401M-parameter vision encoder; text and image input.
2.8T / 104Btotal and activated parameters of the mixture-of-experts model
1 source filed · EN 1
Terminal-Bench 4.0: 65.7%, against GPT-6 Astra 58.2% and Claude Opus 5.5 66.4%.
65.7% vs 66.4%Terminal-Bench 4.0, K3.1 Pro vs Claude Opus 5.5 (GPT-6 Astra 58.2%), per Moonshot
1 source filed · EN 1
Summarising reasoning already hurt distillers: a model trained on full Opus 4.8 transcripts scored 80.4% on SWE-bench Verified, against 71.8% on summaries.
around 90 to 99%claimed cut in data harvested by distillers