Kimi K3 release: 2.8T params, 1M context, native multimodal
Melvin Vivas · X post · 2026-07-17 · Open on X
Topics: Industry Trends & Job Market, LLM Fundamentals · Level: intermediate
Summary
Announces that Moonshot's Kimi K3 model has been released and lists its reported specs. It's useful as a trend snapshot of frontier open-weight model scale and new attention variants. The creator also asks where people can access it.
Key points
- Kimi K3 reportedly has more than 2.8 trillion parameters.
- It has a 1 million token context window.
- It is natively multimodal.
- It uses architecture changes called Kimi Delta Attention and Attention Residual.
- Access options were still unclear when it was posted.
Resources mentioned
- Kimi K3 · tool · huggingface.co · free
Moonshot AI's large multimodal LLM with a 1M-token context window and Kimi Delta Attention.
Also in: Multi-Teacher On-Policy Distillation (MOPD) in 2026 (Melvin Vivas on X · notes), Qwen3.8-Max on the Frontend Code Arena cost-performance frontier (Melvin Vivas on X · notes), 1-bit Kimi K3 GGUF Running Locally vs Claude Opus 5 and GPT 5.6 (Melvin Vivas on X · notes), Code Arena Fullstack Benchmark: Kimi K3 Ranks #1 (Melvin Vivas on X · notes) and 1 more
More in Industry Trends & Job Market
- Qwen3.8 (2.4T params) Announced as Upcoming Open-Weight Model
- Why Chinese AI Models Are Mostly Open Source
- Qwen3.8 Open-Weight Launch Announcement Reaction
- AI News Roundup: Grok 4.5, GPT-5.6 Launch, GPT-Live Voice Models
- Grok 4.5 First Impressions: Opus-Level Output vs Fable
- Cognition Releases SWE-1.7: Near-Frontier Coding Model at Low Cost