GLM vs Kimi K3, Grok 4.6 in Cursor, Multi-Agent Systems — AI Daily Aug 13
18 messages · 10 active members
Overview
Topics
Members debated which model to main for coding tasks. Consensus was that Kimi K3 is notably stronger than GLM 5.2, though GLM works well as a free option for subagent swarms in scraping and building workflows. GLM's missing vision model and weak MCP addon were called out as downsides.
Grok 4.6 is now available in Cursor and builders are ready to put it through its paces. Early sentiment noted that solid coding skill translates across models when the workflow is dialed in.
A member shared Anthropic's write-up on multi-agent systems as recommended reading — or a good candidate to feed to an agent for summarization. Relevant context for anyone orchestrating subagent swarms.
A member reported using cowork much more frequently, pointing to a new feature demo. Positioned as a meaningful workflow upgrade for collaborative AI building.
Key Takeaways
- Kimi K3 is emerging as the preferred main coding model over GLM 5.2
- GLM 5.2 is best deployed as free subagent swarms for scraping and building
- GLM 5.2's lack of a native vision model is a notable gap
- Grok 4.6 is now live in Cursor — worth testing for coding workflows
- Anthropic's multi-agent systems research is recommended reading for orchestration
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