Reporting, analysis and practical guides connected to moonshot-ai.
Moonshot AI released Kimi K3 on July 16, 2026, a 2.8-trillion-parameter open Mixture-of-Experts model that activates 16 of 896 experts, ships native vision and a 1M-token context, and leads benchmarks like SWE Marathon, BrowseComp, and OmniDocBench while trailing Fable 5 and GPT-5.6 Sol overall. Weights release July 27 under a Modified MIT license.
Cognition released SWE-1.7 on July 8, 2026, a software-engineering model built by reinforcement-learning on top of Moonshot AI's Kimi K2.7 base and served through Cerebras at ~1,000 tokens/second inside the Devin agent. It scores 42.3% on FrontierCode 1.1 and 81.5% on Terminal-Bench 2.1, trailing Opus 4.8 by a few points at roughly $1.97 per task, positioning it as a near-frontier option at a fraction of frontier cost.
Moonshot AI's Kimi K2.7-Code is an open-weights, OpenAI-compatible coding model (1T-param MoE, 32B active, 256K context) claiming a 30% cut in reasoning tokens and a narrow win over Claude Opus 4.8. But all published benchmarks are Moonshot's own proprietary suites, with no independent results yet, so the efficiency claims remain unverified.
Moonshot's Kimi K2.6, an open-weights model, surpasses GPT-5.4 on SWE-Bench Pro.
