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GLM · Last 7 days

GLM 5.2

0–100 · higher means more positive community experience, not benchmark performance.

Updated 2026-09-08 18:27 UTC · 2026-09-01 – 2026-09-08 UTC
Community score71.8/10035 comments in 7 days

As of 2026-09-08 18:00:04 UTC, GLM 5.2 in the GLM family has 35 explicitly attributed community comments in the last 7 days; its community score is 71.8/100. Available category scores include General text 69.1/100 (n=14); Coding 61.9/100 (n=10); Reasoning 63.5/100 (n=6). Scoring method and sources

Community reviews

Selected comments from the last 7 days. The balance of excerpts does not represent the share of positive reviews.

3 selected excerpts

NeutralSpeed & latency

“GLM 5.2 ~210–235 tok/s aggregate For 16 concurrent streams Prefill: ~3,200–3,500 tok/s aggregate”

PositiveSpeed & latency

“the model seems very fast”

NegativeSpeed & latency

“The same level GLM-5.2 costs around 28”

ZhihuzhMachine translated
Show original

同级别的 GLM-5.2 要 28 左右

Explore long-term changes & analysis

Model lifecycle

GLM 5.2

Released 2026-06-16 · Back to GLM

Exact-version signals observed 2026-08-07–2026-09-07 · n=294

Data window: 2026-08-11 00:00:00 to 2026-09-08 00:00:00 UTC · Scoring method: experience_score_v2.

Trend history still collecting The current window is ready; 2 of 4 independent segments are available.

Lifecycle updated daily · latest complete UTC day 2026-09-07

Fixed 14-day baseline
74.7
n=90
Latest 28 days
66.7
n=244
Change vs baseline
−8.0
90-day slope
pts / 30 days

14-day rolling experience

Each daily point summarizes the previous 14 complete UTC days. The dashed line is the fixed release baseline; the verdict still uses independent non-overlapping 14-day segments.

14-day rolling experience from 2026-08-13 to 2026-09-07; latest score 60.5, fixed baseline 74.7.4050607080Fixed baseline 74.72026-07-30–2026-08-13 · 74.7 · n=902026-07-31–2026-08-14 · 74.6 · n=1202026-08-01–2026-08-15 · 74.2 · n=1382026-08-02–2026-08-16 · 74.1 · n=1432026-08-03–2026-08-17 · 73.9 · n=1542026-08-04–2026-08-18 · 72.2 · n=1632026-08-05–2026-08-19 · 71.7 · n=1722026-08-06–2026-08-20 · 71.7 · n=1772026-08-07–2026-08-21 · 70.3 · n=1682026-08-08–2026-08-22 · 71.0 · n=1582026-08-09–2026-08-23 · 70.6 · n=1582026-08-10–2026-08-24 · 69.8 · n=1592026-08-11–2026-08-25 · 68.5 · n=1542026-08-12–2026-08-26 · 65.3 · n=1612026-08-13–2026-08-27 · 65.9 · n=1462026-08-14–2026-08-28 · 63.4 · n=1212026-08-15–2026-08-29 · 59.1 · n=1092026-08-16–2026-08-30 · 59.3 · n=1112026-08-17–2026-08-31 · 58.0 · n=1012026-08-18–2026-09-01 · 60.4 · n=1012026-08-19–2026-09-02 · 61.7 · n=952026-08-20–2026-09-03 · 59.8 · n=942026-08-21–2026-09-04 · 61.6 · n=912026-08-22–2026-09-05 · 61.7 · n=962026-08-23–2026-09-06 · 60.7 · n=922026-08-24–2026-09-07 · 60.5 · n=8708-1308-1808-2308-2809-0209-07

2 of 4 independent 14-day segments ready for trend judgment.

What explains the change

Experience change and discussion-mix change are separated. These are observational contributions, not proof of cause.

Largest negative experience contributions: General text, Speed & latency, Reasoning.

Category Baseline → current Category change Weight share Experience contribution Discussion-mix contribution
General text Baseline → current69.3 → 62.6n=30 → 79 Category change−6.6 Weight share33.1% → 31.3% Experience contribution−2.14 Discussion-mix contribution+0.02
Speed & latency Baseline → current56.1 → 44.9n=16 → 43 Category change−11.2 Weight share17.8% → 17.2% Experience contribution−1.96 Discussion-mix contribution+0.09
Reasoning Baseline → current76.4 → 71.6n=21 → 55 Category change−4.8 Weight share24.7% → 23.1% Experience contribution−1.16 Discussion-mix contribution−0.12
Coding Baseline → current72.7 → 78.6n=20 → 54 Category change+5.9 Weight share21.3% → 23.3% Experience contribution+1.31 Discussion-mix contribution+0.17
Image / vision Baseline → currentnot enough datan=0 → 0 Category change Weight share Experience contribution Discussion-mix contribution
Local deploy Baseline → currentnot enough datan=3 → 7 Category change Weight share Experience contribution Discussion-mix contribution
Roleplay / creative Baseline → currentnot enough datan=0 → 0 Category change Weight share Experience contribution Discussion-mix contribution
Safety & refusals Baseline → currentnot enough datan=0 → 6 Category change Weight share Experience contribution Discussion-mix contribution
Video generation Baseline → currentnot enough datan=0 → 0 Category change Weight share Experience contribution Discussion-mix contribution

Unresolved contribution from categories below the sample threshold: −4.24 pts.

Lifecycle scores use the same experience-signal weights as the main index, without sample shrinkage after n=30. They measure public user perception, not model capability or backend causes.

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