Frontier Model Atlas
Ling 3.0 tinyQwen3.6-35B-A3BQwen3.8-Flash-NextDeepSeek V4 FlashGLM-5.2

Z.ai · GLM-5

GLM-5.2

A 744B / 40B-active MoE model with a 78-layer MLA-based DSA backbone, four-layer IndexShare groups and a released 1M-token context.

Total744BActive40BLayers78Context1M
Checkpoint architecture · source-backed layout
Model anatomyToken path · block microscope · cost surface
Architecture signature78 DSA
DSA78 · 100%
Layer blueprintAttention · FFN · residual, aligned by transformer block78 layers
DSA78Full indexer21Shared index57Dense3Learned MoE75Residual
Layer mix
78× DSA
IndexShare
21 full indexer · 57 shared-index layers · groups of 4
FFN schedule
75 learned-routing MoE · 3 dense
Experts / token
8 / 256 routed + 1 shared
Residual topology
single residual stream
Active parameter share
5.4% of checkpoint
Compare attentionFollow attention path

Each blueprint column is one transformer block. Hover or keyboard-focus a linked cell to read attention, feed-forward and residual structure as one aligned layer; linked cells open the corresponding walkthrough or inspector. DSA cells additionally preserve whether the layer runs a full indexer or reuses a shared IndexShare selection. QSA cells preserve their per-layer sparse retrieval identity, while PLE is marked on the decoder layer receiving N-gram features. MoE cells preserve any layer-level routing transition encoded by the checkpoint manifest. Structural encoding only — it does not imply benchmark quality, throughput or FLOPs.