// AI TOOLS · GLM-5.5

GLM-5.5

Z.ai's anticipated next flagship language model. As of November 2026 it is unreleased — in post-training, with specs known only from leaks and a lecture by co-founder Jie Tang. The shipping flagship remains GLM-5.3.

Last verified · 2026-11-06 · by Moe Ameen

What GLM-5.5 is

GLM-5.5 is the next flagship language model expected from Z.ai — the Chinese lab formerly known as Zhipu AI — and, as of early November 2026, it is not released. There is no official model card, no published weights, no API endpoint, and no pricing. What exists is a trail of leaks: independent trackers reported the model was deep in post-training by late October, and in early November coverage surfaced of a lecture at Tsinghua University by Jie Tang, a Z.ai co-founder and Tsinghua professor, describing the pretraining pipeline behind an upcoming GLM model.

The reported details, which Z.ai has not confirmed, describe an in-house data operation: a set of internal data engines building pretraining data across web pages, documents, books, code, video, and audio at very large scale, with one circulated figure putting the crawled web corpus on the order of a trillion pages. Internal checkpoint sizes of 32B, 122B, and 256B parameters have been referenced; observers disagree on whether those are standalone models or components to be merged into a larger system rumored to exceed a trillion total parameters. A "GLM-5.5 Flash" listing has also surfaced on at least one developer platform, though reported as a placeholder with unknown specs and no confirmed launch — at most a hint Z.ai could repeat the flash/non-flash split it used for GLM-5.3, not a confirmed variant lineup.

Context helps calibrate those rumors. Z.ai's officially disclosed lineage showed GLM-5 scaling from GLM-4.5's 355B parameters (32B active) to 744B (40B active), with pretraining data growing from 23 trillion to 28.5 trillion tokens. The current shipping flagship, [GLM-5.3](/ai-tools/glm-5-3), is a coding-and-agent model built on the GLM-5.2 base with a 1-million-token context; its cheaper sibling, [GLM-5.3-Flash](/ai-tools/glm-5-3-flash), is natively multimodal. Every GLM release so far has published MIT-licensed open weights, so GLM-5.5 is widely expected to do the same — but until a model card lands, treat the parameter count, context window, license, and release date as unverified. What is safe to assume from the family: GLM-5.5 will be a text-and-code model tuned for coding, reasoning, and long-horizon agent work, not a content or media generator.

What you can make with it

  • Long, structured video scripts, outlines, and hooks reasoned over a large brief or transcript — if GLM-5.5 carries the family's large context window, a whole content archive fits in one pass
  • A batch content plan — angles, series arcs, and per-platform variants — drafted from a single strategy document
  • Working automation code: scrapers, ingestion scripts, and small tools that feed a content pipeline on a schedule
  • Agentic, multi-step task runs (research, refactors, long-horizon coding) a creator-developer can wire into their own stack
  • Technical tutorials, documentation, and code-walkthrough copy for a developer-audience channel
  • Nothing visual — like every GLM model, GLM-5.5 is expected to output text and code only, no images, video, or audio

How Kompozy turns GLM-5.5 output into content

The reason to watch GLM-5.5 is not that it will write a better caption — it is that the GLM line keeps getting stronger at the one thing a drafting front end should do well: reason across a very large input and run long, multi-step work. Hand a future GLM-5.5 a full webinar transcript, a quarter of support tickets, or a sprawling strategy doc and it should come back with a coherent slate of angles, scripts, and hooks, and — if you run it as an agent — the automation to keep pulling fresh source material in. That is a genuinely useful top of the funnel. It is also where it stops: no face, no video, no carousel, no schedule, no published post. [Kompozy](/) is built to take exactly that handoff.

The concrete workflow is model-agnostic by design, which is the point. Today you run that reasoning step on [GLM-5.3](/ai-tools/glm-5-3) or [GLM-5.3-Flash](/ai-tools/glm-5-3-flash); when GLM-5.5 ships, you swap the key and nothing else changes. Drop the model's strongest script into Kompozy as a source and it fans that one input into finished assets — a captioned [Persona Short](/glossary/persona-shorts) with a face-locked HeyGen avatar, a brand-exact [Carousel](/glossary/hyperframes), quote graphics, photo posts, a blog article, and an email newsletter — each rewritten under a [Persona Brief](/glossary/persona-brief) so a batch sounds like one brand instead of raw model output. Then [Autopilot](/glossary/autopilot) schedules and publishes the set across the eight social platforms plus blog and email, every asset clearing a per-post review gate first. Because the Founding tier lets you bring your own provider key, a cheaper, more capable GLM-5.5 just becomes a lower-cost drafting engine behind the same finishing-and-distribution layer.

  1. Pick your drafting model — GLM-5.3 or GLM-5.3-Flash now, GLM-5.5 when it ships — and reason over a long source into a slate of scripts, outlines, and hooks.
  2. Optionally run the model as an agent to write the ingestion automation that feeds Kompozy new source material on a cadence.
  3. Drop the strongest script (or the raw source) into Kompozy as a source and choose your formats.
  4. Fan that one idea into a persona/avatar short, a carousel, quote graphics, photo posts, a blog, and a newsletter — all in one Persona Brief voice with a consistent face.
  5. Review each asset in the per-post queue, then let Autopilot schedule and publish across the eight social platforms plus blog and email.

Frequently asked questions

Is GLM-5.5 available yet?

No. As of early November 2026, Z.ai has not released GLM-5.5 — there is no model card, no weights, no API, and no pricing. Details circulating come from post-training trackers and a reported Tsinghua lecture by co-founder Jie Tang. The shipping flagship is GLM-5.3, with GLM-5.3-Flash as the cheaper multimodal tier.

What will GLM-5.5's parameters and context window be?

Unconfirmed. Leaks reference internal checkpoints of 32B, 122B, and 256B parameters and a rumored system over a trillion total parameters, with the context window expected to carry over the GLM family's large window. Z.ai has published none of this, so treat every figure as a leak until an official spec lands.

Will GLM-5.5 generate images or video for social?

Almost certainly not. Every GLM model to date is a text-in, text-out engine tuned for coding, reasoning, and agents — it produces text and code, not images, video, or audio. To turn a GLM script into visual, published content you pair it with a generation-and-publishing engine like Kompozy.

How do I turn a GLM-5.5 (or GLM-5.3) script into finished, published content?

Draft the script in the GLM model, then bring it into Kompozy as a source. Kompozy generates a full set of formats from that one input — persona/avatar video, carousels, quote graphics, photo posts, a blog, and a newsletter — holds a consistent face and voice across them, and schedules and publishes across the eight social platforms plus blog and email. On the Founding tier you can bring your own GLM key.

Related tools

  • GLM-5.3 — Z.ai's coding and agent model, released August 14, 2026. It reuses the same 743B-parameter base as GLM-5.2 and gets its gains entirely from scaled post-training, with a 1-million-token context and a jump in long-horizon coding and cybersecurity work.
  • GLM-5.3-Flash — Z.ai's cheap, fast, natively multimodal model, launched August 26, 2026 — the model previously teased on OpenRouter as the stealth "Ox Alpha." A 320B-parameter MoE (18B active) with a claimed 1M-token context, MIT open weights, and API pricing near a tenth of the flagship.
  • DeepSeek V4 Pro 0813 — The general-availability build of DeepSeek's flagship model — a 1.6-trillion-parameter mixture-of-experts LLM with a 1M-token context, MIT-licensed weights, and API pricing well under Western frontier models.
  • Kimi Work — Moonshot AI's local desktop AI agent for knowledge work — it reads your files, drives your browser, schedules jobs, and runs a swarm of up to ~300 sub-agents on macOS and Windows.

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