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New: Advisor → 4 questions, your stack in 30 secondsDecision layer live → Goal → Role → Stack → Tool → PlaybookGPT-5.5 superpower: most reliable instruction followingClaude superpower: best first draft and coding outputGemini superpower: massive multimodal contextPerplexity superpower: fast factual retrievalNotebookLM superpower: source-grounded answersSolo Founder Stack — bookmark and ship by FridayNew: Advisor → 4 questions, your stack in 30 secondsDecision layer live → Goal → Role → Stack → Tool → PlaybookGPT-5.5 superpower: most reliable instruction followingClaude superpower: best first draft and coding outputGemini superpower: massive multimodal contextPerplexity superpower: fast factual retrievalNotebookLM superpower: source-grounded answersSolo Founder Stack — bookmark and ship by Friday
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Foundation ModelsBy Z.ai· sleeper

GLM-4.6

The coding-agent model developers quietly swapped in to cut their bills.

GLM has become the default open substitute inside coding agents — near-Claude quality on real repository work, with a flat monthly coding plan instead of per-token anxiety. It slots straight into Claude Code and Cline via an endpoint swap.

Best for

  • 01Coding agents
  • 02Repo-scale refactors
  • 03Predictable AI spend

Recommended workflow

  1. Step 1

    Subscribe to the coding plan

  2. Step 2

    Point Claude Code or Cline at the GLM endpoint

  3. Step 3

    Keep a frontier model for the hardest tickets

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◉ Verified November 2026 · Independent review · No affiliate links
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