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 Code: Is the Upgrade Worth It for Coding?
Kimi K3 vs K2.7 Code: 1M vs 256K context, $3/$15 vs $0.95/$4 per million tokens, and when the bigger model earns its price on coding work.
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)
Where to access Kimi K3: Moonshot's API at $3 input and $15 output per million tokens, OpenRouter hosts, inference clouds, and open weights.
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
AMD MI355X vs NVIDIA B200 vs B300 for serving Kimi K3's about 1.5TB of open weights: verified specs, the Wafer benchmark, and cost per token for each.
9 min read|Read →
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