Kimi K3
Kimi K3 is Kimi K3 is Moonshot AI's most capable open-weight model, combining native vision with a 1-million-token context window for long-running coding and knowledge workflows that sustain context across large repositories,…. It is ranked #1978 on the Vibe Coding Radar, in Skills & agent setups, first seen 32 days ago and shared in 2 posts (453 views).
Kimi K3 - Amazon Bedrock View a markdown version of this page Kimi K3 - Amazon Bedrock Documentation Amazon Bedrock User Guide Moonshot AI — Kimi K3 Model Details Capabilities and Features Pricing Programmatic Access Service Tiers Regional Availability Quotas and Limits Usage Considerations and Limitations Sample Code Kimi K3 Moonshot AI — Kimi K3 Model Details Kimi K3 is Moonshot AI's most capable open-weight model, combining native vision with a 1-million-token context window for long-running coding and knowledge workflows that sustain context across large repositories, documents, and images. For more information about model development…
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Kimi K3 in numbers
- Rank on the Vibe Coding Radar: #1978 of 2600
- Shared in 2 posts by 2 accounts: @mkitokitom
- 453 views on those posts
- First seen 32 days ago, last shared 31 days ago
- Pricing seen by AGK Intelligence: free
- Market: Skills & agent setups
FAQ
What is Kimi K3?
Kimi K3 is Moonshot AI's most capable open-weight model, combining native vision with a 1-million-token context window for long-running coding and knowledge workflows that sustain context across large repositories,… It was first shared on X 32 days ago and is ranked #1978 on the Vibe Coding Radar.
Is Kimi K3 free?
Yes, it is free to use.
Who shared Kimi K3?
2 accounts on X, including @mkitokitom, in 2 posts totalling 453 views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 7.9k posts from 5k X accounts over the last 14 days, 2.6k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 15:18 UTC. Full method.