#kimi k3
Kimi K3: 15 AI articles covering kimi k3 news, analysis, and research
Articles
You.com Launches Inference Router: 12 Open-Weight Models With 99β8
You.com launches Inference Router, an OpenAI-compatible API routing 12 open-weight models with a 99.9% uptime SLA, zero data retention, and pay-as-you-go pricin...
StepFun Releases Step 5 Preview as Open Weights: 600B MoE, 27Bβ9
StepFun releases Step 5 Preview open weights: a 600B MoE model with 27B active parameters, 1M-token context, and strong long-context reasoning for agentic workl...
Z.ai GLM-Legal Outperforms Claude Fable 5 and Kimi K3 on Harvey LABβ9
Z.ai's GLM-Legal legal AI model hits 19.2% on Harvey's Legal Agent Benchmark, beating Claude Fable 5 and Kimi K3, but API access is application-only.
Goodfire's 'Inside-Out' Monitors Catch Rogue AI Agents at aβ9
Goodfire launches affordable AI safety monitors that inspect a model's internal signals to catch rogue agents, offering a cheaper alternative to external oversi...
Together Link: A Free CLI That Runs Open Models Like Kimi K3 andβ9
Together Link is a free MIT-licensed CLI that connects Claude Code, Codex, and OpenCode to open models like Kimi K3 and GLM 5.3 hosted on Together AI.
Reflection AI Unveils Beam: A 501B Open-Weight MoE Model Withβ8
Reflection AI's Beam is a 501B-parameter open-weight MoE model with 23B active parameters, built for coding and agentic workloads with 3-4x lower inference comp...
Fireworks AI Releases Ember-1: A Post-Trained Kimi K3 That Usesβ8
Fireworks AI's Ember-1 post-trains Kimi K3 to cut reasoning tokens by ~40% while preserving accuracy, available only via serverless API research preview.
Cognition Releases SWE-2: A Kimi K3 Post-Trained Coding Modelβ7
Cognition's SWE-2 coding model, post-trained from Kimi K3, hits 50.0% on FrontierCode 1.1, matching Fable 5.1 at 64% lower cost and running only inside Devin.
Moonshot AI Sets Ambitious $2 Billion Annual Revenue Target forβ9
Moonshot AI targets $2 billion in annualized revenue by end of 2026, driven by its K3 model, as it charts commercial growth in the open-weight AI market.
From Mixtral to Kimi K3: The Evolution of Mixture-of-Experts Modelsβ8
From Mixtral to Kimi K3, explore Mixture-of-Experts evolution from 8 to 896 experts per layer, compression, and stability for trillions of parameters.