| created |
updated |
sources |
tags |
people |
institutions |
| 2026-07-20 |
2026-07-20 |
| raw/xpost/2026-07-20-healthranger-four-chinese-models.md |
| raw/xpost/2026-07-19-qwen38-healthranger.md |
|
| concept |
| llm |
| glm-5.5 |
| z-ai |
| zhipu-ai |
| chinese-ai |
| open-weights |
| trillion-parameter |
| 1m-context |
| autonomous-coding |
| agents |
| ai-race |
| august-2026 |
|
|
| z-ai |
| anthropic |
| openai |
| google |
|
GLM-5.5 (Z.ai) — Announced for August 2026
Source: X-Post by @HealthRanger (20.07.2026) quote-replying to @LuminaXspace. Raw: raw/xpost/2026-07-20-healthranger-four-chinese-models.md.
Overview
GLM-5.5 is the next-generation frontier model from Z.ai (Zhipu AI), announced on 20 July 2026. It is the successor to glm-5.2-zai-coding-model.md (released 13.06.2026) and represents a significant parameter scale-up: exceeding 1 trillion parameters. Launch is expected in August 2026.
Key Properties
| Property |
Detail |
| Developer |
Z.ai (Zhipu AI, China) |
| Predecessor |
[[glm-5.2-zai-coding-model.md |
| Expected Launch |
August 2026 |
| Parameters |
>1 trillion (up from GLM 5.2's unspecified MoE size) |
| Context Window |
1M tokens (same as GLM 5.2) |
| Open Weights |
Yes — open weights announced |
| Focus |
Autonomous coding, agentic tasks |
| License |
TBA (GLM 5.2 was MIT) |
Significance
GLM-5.5 is the fourth major Chinese AI model announcement in four days (18-20 July 2026), alongside:
| # |
Model |
Developer |
Key Spec |
Date |
| 1 |
Kimi K3 |
Moonshot AI |
2.8T params, open source July 27 |
18.07.2026 |
| 2 |
Qwen 3.8 |
Alibaba |
2.4T params, open weights |
19.07.2026 |
| 3 |
DeepSeek (new) |
DeepSeek |
TBA |
19-20.07.2026 |
| 4 |
GLM-5.5 |
Z.ai |
>1T params, open weights |
20.07.2026 |
This cadence is unprecedented and suggests a coordinated industrial strategy. See ../chinese-ai-wave-july-2026.md for the synthesis.
Comparison to GLM 5.2
| Dimension |
GLM 5.2 (June 2026) |
GLM-5.5 (August 2026) |
| Parameters |
Unspecified (MoE) |
>1T |
| Context |
1M tokens |
1M tokens |
| License |
MIT |
TBA (open weights confirmed) |
| Focus |
Coding |
Autonomous coding + agents |
| Price |
~$18/mo (Light Plan) |
TBA |
| Benchmark vs. Claude |
~6% under Opus 4.8 |
Targeting frontier parity |
| Generation gap |
5.0 → 5.1 → 5.2 (4 months) |
5.2 → 5.5 (2 months) |
Key shift: GLM-5.5 explicitly targets autonomous coding and agents — a move from "coding model" to "agentic model." This aligns with the broader industry trend (Hermes Agent OS, OpenClaw, LangGraph).
Positioning in the Chinese AI Wave
The announcement follows a clear pattern across Chinese AI labs:
- Scale: All four models are in the 1T+ parameter range — frontier scale.
- Open weights: All four announce open weights — commoditizing what US labs sell as premium.
- Speed: GLM went 5.0 → 5.1 → 5.2 → 5.5 in ~6 months. The cadence is accelerating.
- Price disruption: chinese-model-cost-routing.md validates the economic threat to US labs.
See ../chinese-ai-wave-july-2026.md for the full synthesis.
Cross-References