Tag
moonshot-ai
4 articles
Kimi K3: Moonshot's 2.8T Open Model Nears the Frontier
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.
By Sarah Chen · 5 min · Jul 17, 2026
Cognition SWE-1.7: Near-Frontier Coding at $2 a Task
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.
By Sarah Chen · 5 min · Jul 14, 2026
Kimi K2.7-Code: A 30% Token Cut With a Benchmark Asterisk
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.
By Sarah Chen · 5 min · Jun 14, 2026
Kimi K2.6: Moonshot's Open-Weights Model Beats GPT-5.4 on SWE-Bench Pro
Moonshot's Kimi K2.6, an open-weights model, surpasses GPT-5.4 on SWE-Bench Pro.
By Sarah Chen · 6 min · May 12, 2026