免费的glm5.2 和 grok4.5 https://jiurelay.com/

Channel
免费ai模型分享
@freeaimodelfx
On this record: Growth · Engagement · Posts · Citations · Cite this entry
66subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004407089263 |
|---|---|
| Type | Channel |
| Username | @freeaimodelfx |
| Created | 4 July 2026 — measured — dated from the channel’s first post |
| First recorded | 10 August 2026 |
| Last confirmed live | 14 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 4 times, most recently 14 September 2026 |
| On Telegram | t.me/freeaimodelfx |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 13:08 | 66 | -1 |
| 14 Aug 2026, 21:14 | 67 | +1 |
| 10 Aug 2026, 01:46 | 66 | no change |
| 7 Aug 2026, 14:02 | 66 | first reading |
Engagement
8 posts held, back to 4 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 19 July 2026. An engagement rate over an empty window would be a number about nothing.
Recent posts
腾讯的大模型免费2周 https://x.com/tencenthunyuan/status/2074148098876768478?s=52
好像必中的,给机器人发一句抽奖 给一个bug team号,直接导入cap,sub https://t.me/+y6Y9M6EdF5IwM2Ex
https://platform.stepfun.com?invite_code=RXCGNPPC 注册送15天的会员,而且基本上没有限额 我已经高强度使用了半个月了 模型强度还不错 用Step 3.7 Flash
注册送666美元套餐 可以用gpt5.4 和gpt5.5 https://t.me/xiaoba_receive_bot?start=ref_PuP3KPz-
阿里的桌面agent工具QoderWork 专门和Workbuddy 竞争 注册就送一个月pro的会员 可以使用glm5.2 和qwen3.7max https://qoder.com.cn/referral?referral_code=NNs8F5xuLlfTEcfLVcc57fcxD0NVYqzi
1
Channel created
Showing the 8 most recent of 8 posts we hold for @freeaimodelfx. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 22 August 2026 — this entry's latest reading, not the date you are reading this.
“免费ai模型分享” (@freeaimodelfx), 66 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/freeaimodelfx.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.