When Is GLM-5.5 Coming Out? - Full Rumor Scan (2026-10-30)

TL;DR

There is no official announcement schedule. Market consensus is early to mid-November.
All late-October predictions missed the mark - the delay was caused by a "loss plateau during pre-training," with mid-October leaks serving as the final signal that it was recently resolved.
Parameter rumor inflation: 1T (July) → 1.6T (September) → 2.5–3.5T (10/21 Expert Note).
Surprisingly, the most reliable official hint came from an apology: "An additional reset card will be provided after the new model launch" in the Coding Plan compensation notice (10/21).
The OpenCode "glm-5.5-flash empirical evidence page" that blew up the internet in late October is fake.

Official Channels Haven't Said a Word Yet (Verified 2026-10-30)

I directly queried z.ai release notes, the Coding Plan API /models, and HuggingFace's zai-org today. All three showed zero traces of glm-5.4/5.5. The latest models remain GLM-5.3 (announced 8/14, weights released 8/25) and GLM-5.3-Flash (8/26, 320B/18B MoE, MIT license).

However, there is a single official document hinting at the existence of a "next model." Between 10/21 and 10/23, during an apology notice for a Coding Plan service degradation incident, this sentence appeared:

After the launch of the new model, we will give you one additional quota reset opportunity!

It contains neither a name nor a date, but it is the first time an official channel explicitly premised a statement on an "upcoming new model." That is currently all the official channels have provided.

Additionally, during the 8/31 earnings call, it was mentioned that "work on the next-generation foundation model is underway, parameter size is undisclosed, but the principle is not to make it impractically large for real-world use." In early October, Tang Jie (唐杰) mentioned during a lecture in Singapore that they are "expanding pre-training data to the scale of several trillion (T) tokens."

This Rumor Has Died Four Times Already

7/20 X Post - "Skipping 5.3 to release GLM-5.5, 1T+, open-weights in August" → What actually came out in August was GLM-5.3.
August Anonymous Model Fingerprint - Speculation that an unidentified model matching GLM's stack in speed, TTFT, and cache hit rate was 5.5 → Turned out to be OX Alpha = internal codename for GLM-5.3-Flash (confirmed via official bigmodel FAQ).
10/6 Cadence Prediction - "GLM-5 series follows a 54–70 day release cycle, so it should be 10/13–22" → Missed.
10/27 OpenCode 'Proof' - Dissected below.

The Late-October 'Proof' Was a Zero-Token Ghost

On 10/27–28, screenshots claiming "the glm-5.5-flash model page appeared on OpenCode" swept Chinese online communities. Bottom line: The page was real, but it is not proof.

The page showed 0 token consumption, 1 completed session (9/19), total cost $0.0000, no ranking, and context/price/release date were all blank.
The real cause was a single request on 9/19 calling the model name glm-5.5-flash that got rejected with a 400 error before routing, yet got caught in the telemetry. OpenCode fixed the bug on 10/28 (PR#59773), and this ghost data will remain visible until 11/14, when the 56-day statistics window expires.
Lesson learned: When looking at telemetry pages, check the first row for token consumption. If it's 0, it's not "proof."

Current Strongest Clue: Leaked Expert Interview (10/20–21)

An unverified expert call note circulating on investor communities (Xueqiu). As a summary of an industry interview bought by investment firms for thousands of yuan per hour, it is not an official company statement, but it has the highest information density among currently available sources:

Regarding the rumor of a "late-October 1.6T release": "False. Actual scale is 2.5–3.5 trillion parameters" - Aiming for 'fast training + fast inference + low cost' with an aggressive architecture, with the goal of large-scale serving from day one. Revenue-sharing negotiations are underway with multiple cloud vendors, and the infra team is expanding.
Reason for delay: Loss plateauing during pre-training → "Likely resolved recently; training expected to complete soon."
Capability expectation: "Claude Fable-class flagship."
Background: No team in China has stably completed training for a 2T parameter model; various companies are evaluating 5T scale.

While its credibility cannot be blindly assumed, the narrative fits nicely with the observation that "the August prediction failed → cadence was breached" due to a training bottleneck, making it the most plausible story currently.

So, When Is It Coming?

Early to mid-November is the consensus. The 54–70 day cadence of the GLM-5 series pointed to a window of 10/7–10/23, which has already passed - the fact that it is delayed is a data point in itself.
Competitive pressure is mounting: Kimi K3.1 Pro, DeepSeek V4.1 Flash, and MiniMax M3.1 have already been released. In a market where releasing an underperforming model isn't an option, they need to hurry to catch the November Chinese model wave.
Version numbering debate: There is speculation that the next model could be GLM-5.4, 5.5, or even GLM-6.0 (with interpretation that Tang Jie's mention of "full self-learning" in late August was intended for 6.0).
Baseline threshold: Tang Jie's statement regarding an "open Fable-class model within the year."

Practical Notes for Coding Plan Subscribers

The Max plan includes first-day priority access to the latest flagship - new models will be immediately reflected in your subscription.
In addition to the 3 compensation reset cards for the service degradation, 1 additional card will be granted after the new model launches - don't miss it in the BigModel app.
I am running probes every 10 minutes checking documentation pages (404 → 200 status changes) and actual serving endpoints for four potential names (glm-5.5, glm-5.5-flash, glm-5.4, glm-6.0) - this post will be updated as soon as it launches.

This post is a snapshot as of 2026-10-30. Rumor posts have a short shelf life - much of the content above will be rendered obsolete once an official announcement is made.

★ PINION ★