IndexShare Architecture
IndexShare is Z.ai's sparse-attention architecture claim for GLM-5.2, 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
- Claude Code Token Economics
- LLM Inference Economics
- Memory Wall for Long Context
- Long-Running Agents
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)
Recommended next
Keep reading from this thread
From 491 indexed pages and articles.
- Wiki concept GLM-5.2 Z.ai's open-source coding and long-horizon task model released in June 2026, notable for a claimed 1M-token context window, MIT license, and the IndexShare Related by indexshare
- Wiki concept Z.ai The AI lab and publisher behind GLM-5.2, represented in this wiki by the GLM-5.2 OpenLM announcement and official Hugging Face model repository. Related by indexshare
- Insight AI Measurement and Experimentation How to measure AI product impact with evals, adoption metrics, online experiments, guardrails, and cost tracking Readers have engaged with this next