Fetching from the wire…
01
02
03
04
05
06
07
08
Models2026-08-06 · source-backed
A 2.4-trillion-parameter MoE multimodal model with 1M-token context, aimed at long-horizon autonomous software work. Alibaba reports 86.1 against 83.2 for GPT-5.6 Sol Max and 85.0 for Fable 5, the first credible claim that a Chinese lab leads on GUI-driving agentic benchmarks. Every figure is self-reported with no independent replication. Live via API. Treat the ranking as a hypothesis until third-party evaluators publish, but the direction is real.
Each link below shares sources, entities, or timing with this story.
The open-weight race just changed constraint. Moonshot AI suspended all new consumer subscriptions on July 20, roughly 48 hours after Kimi K3 launched, because request volume pushed its compute cluster to capacity. Remaining GPUs are reserved for existing paid subscribers. Tec...
Moonshot AI released Kimi K3, a sparse mixture-of-experts activating 16 of 896 experts per token. That's about 1.8% of the pool live at any moment, with a 1M-token context window and native vision. Two new architectural pieces show up: Kimi Delta Attention and Attention Residu...
Moonshot AI dropped Kimi K2.6 today and the numbers are hard to ignore. One trillion parameters total, 32 billion active per token across 384 experts, 256K context window, and native multimodal input. It scores 58.6 on SWE-Bench Pro versus GPT-5.4's 57.7 and Claude Opus 4.6's...
The leaderboard says first place. The methodology says you should check your own bill. Qwen3.8 Max now ranks first on Artificial Analysis' agentic index, scoring 86.1 on OSWorld-Verified ahead of GPT-5.6 Sol Max at 83.2 and Fable 5 at 85.0, priced at $2.00/M input and $6.00/M...
GLM-5.1 from Zhipu AI scored 58.4% on SWE-bench Pro. GPT-5.4 scored 57.7%. Claude Opus 4.6 scored 57.3%. That's the first time an open-weight model has ever topped a major coding benchmark against the best proprietary models. The specs matter. GLM-5.1 is a 754B-parameter mixtu...
Moonshot AI dropped Kimi K2.7-Code on Hugging Face on June 12. The specs are loud: 1T-parameter MoE with 32B active across 384 experts, a 256K context window, Modified MIT license, tuned for long-horizon agentic software engineering (MarkTechPost). Moonshot reports +21.8% on K...
MindPattern daily
One email a day at 7 AM. Sources and a take on every story. Unsubscribe anytime.