IndexShare Architecture

IndexShare is Z AI's sparse-attention architecture claim for Glm 52, described as reusing the same indexer across every four sparse attention layers to reduce per-token FLOPs at long context.

Key points

  • Z.ai says IndexShare reduces per-token FLOPs by 2.9x at a 1M-token context length [src-095, src-096].
  • The architecture is relevant because context length alone is not enough; practical long-context models need lower serving cost and latency, especially for coding-agent sessions that read many files and tool outputs [src-095].
  • The claim should be tracked as a model-efficiency signal, not only a benchmark signal. If validated in use, it could make very long coding contexts cheaper to run [src-095, src-096].

Related entities

Related concepts

Source references

  • [src-095] Z.ai – "GLM-5.2 | OpenLM.ai" (2026-06-13)
  • [src-096] Z.ai / Hugging Face – "zai-org/GLM-5.2" (2026-06-16)

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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From 500 indexed pages and articles.

  1. Wiki concept Z.ai The AI lab and publisher behind Glm 52, represented in this wiki by the GLM-5.2 OpenLM announcement and official Hugging Face model repository Related by indexshare
  2. Wiki concept Open-Weight Model Strategy The use of publicly downloadable model weights as a research, influence, adoption, and market-entry mechanism, especially when direct API Related by 095
  3. Wiki concept Memory Wall for Long Context Infrastructure constraint where extending LLM context length is limited more by KV-cache memory bandwidth and capacity than by raw compute. Related by attention