Kimi K3
6 articles48 min total read time
6 of 6 posts published
01
Kimi K3 Developer Guide: What the 2.8T Open Model Changes
Kimi K3 brings 2.8 trillion parameters, native vision, a 1M-token context window, and long-horizon agent workflows. Here is what developers should know before adopting it.
7 min read|Read →
02
Kimi K3 vs K2.7: Is the Upgrade Worth It for Coding?
Kimi K3 adds native vision, a 1M-token window, and longer agent runs, but K2.7 remains cheaper and easier to deploy. Here is the practical upgrade decision.
6 min read|Read →
03
Kimi K3 Websites: What Vision in the Loop Actually Means
A Kimi-generated macOS 27 concept shows the promise and limits of screenshot-driven website creation. Here is how K3's vision-in-the-loop workflow changes frontend agents.
6 min read|Read →
04
Where to Access Kimi K3: Every Provider and Price Compared (2026)
Compare every verified Kimi K3 access route, including Moonshot, Together, Fireworks, Baseten, Modal, Vercel AI Gateway, Cloudflare, RunPod, SiliconFlow, OpenRouter, and OpenCode Go.
13 min read|Read →
05
Kimi K3 Is GA in GitHub Copilot: Pricing, Rollout, and What It Means for Model Choice
GitHub made Kimi K3 generally available in Copilot on August 6 at $3/$15 per million tokens, hosted on Fireworks AI. It is off by default for Business and Enterprise, the rollout was paused mid-day by a GitHub Actions incident, and it changes the price/quality calculus in the model picker.
7 min read|Read →
06
AMD MI355X vs NVIDIA B200 vs B300 for Open-Weight Serving in 2026
Kimi K3 open weights need roughly 1.5TB of VRAM, which does not fit on a B200 node. That forces a real hardware decision: B300, two B200 nodes, or AMD's MI355X. Here is the head-to-head with verified specs, the Wafer benchmark, and what it costs per token.
9 min read|Read →
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