Kimi · Last 7 days

Kimi K3

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

Updated 2026-10-02 21:57 UTC · 2026-09-25 – 2026-10-02 UTC
All-platform score63.2/10055 comments in 7 days

Discussion overview

What the full sample discusses

All platforms · 55 eligible comments over 7 days, including usage-limit feedback; deduplicated by source and comment.

  • General text · 20 comments: 13 positive / 5 negative / 2 mixed or neutral
  • Speed & latency · 11 comments: 2 positive / 5 negative / 4 mixed or neutral
  • Reasoning · 8 comments: 7 positive / 1 negative / 0 mixed or neutral
  • Usage limits · 8 comments: 0 positive / 7 negative / 1 mixed or neutral

Comments may cover multiple dimensions; counts are not additive or equivalent to the weighted score. Links show selected source excerpts.

Recent change

Rolling 7-day score: +0.3 points vs 7 days ago. Discussion mix can affect scores; this does not establish a cause.

Source coverage and discussion concentration

Hacker News 2 · Reddit 29 · RedNote 7 · Zhihu 17

37 identifiable discussions cover 53/55 comments; the largest has 7. Remaining thread identities are unknown; this is not a count of independent users.

Selected individual opinions

Explore individual experiences below, filtered by category and sentiment.

About the sample and scores

As of 2026-10-02 21:57:03 UTC, Kimi K3 in the Kimi family has 55 explicitly attributed community comments in the last 7 days; its community score is 63.2/100. Available category scores include General text 63.7/100 (n=20); Coding 67.9/100 (n=6); Reasoning 66.5/100 (n=8). Scoring method and sources

RECENT EXPERIENCE

How the Experience Index is changing

+1.5vs 7 days ago · points

30 days of rolling 7-day scores at each daily snapshot. The vertical scale adapts to the data. Missing or insufficient samples leave gaps; today is still updating.

Tap or use ← → for dates, scores and sample sizes. Blank dates have insufficient data.

Kimi K3 · Zhihu · 30 days of rolling 7-day experience scores 4050607080 Observed-day mean: 61.9 2026-09-03 · 56.3 · n=62 · 2026-08-27T23:00:03+00:00 – 2026-09-03T23:00:03+00:002026-09-04 · 57.1 · n=65 · 2026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:002026-09-05 · 57.4 · n=60 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 60.0 · n=75 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 61.5 · n=70 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 64.3 · n=58 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 60.0 · n=62 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 56.0 · n=71 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 53.0 · n=67 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 52.9 · n=71 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 48.1 · n=56 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 47.7 · n=43 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 49.4 · n=40 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 52.0 · n=27 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 54.5 · n=20 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 62.7 · n=22 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-19 · 60.0 · n=20 · 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:002026-09-20 · 64.7 · n=19 · 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:002026-09-21 · 60.9 · n=20 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 62.6 · n=22 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 69.0 · n=28 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 69.1 · n=30 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 68.2 · n=27 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 74.1 · n=28 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 73.9 · n=28 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 76.0 · n=26 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 71.9 · n=20 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 71.0 · n=18 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 72.7 · n=14 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 69.6 · n=13 · 2026-09-25T21:57:03+00:00 – 2026-10-02T21:57:03+00:00 69.6 09-0309-1109-1809-2510-02 Kimi K3 · Zhihu · 30 days of rolling 7-day experience scores 4050607080 Observed-day mean: 61.9 2026-09-03 · 56.3 · n=62 · 2026-08-27T23:00:03+00:00 – 2026-09-03T23:00:03+00:002026-09-04 · 57.1 · n=65 · 2026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:002026-09-05 · 57.4 · n=60 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 60.0 · n=75 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 61.5 · n=70 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 64.3 · n=58 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 60.0 · n=62 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 56.0 · n=71 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 53.0 · n=67 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 52.9 · n=71 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 48.1 · n=56 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 47.7 · n=43 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 49.4 · n=40 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 52.0 · n=27 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 54.5 · n=20 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 62.7 · n=22 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-19 · 60.0 · n=20 · 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:002026-09-20 · 64.7 · n=19 · 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:002026-09-21 · 60.9 · n=20 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 62.6 · n=22 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 69.0 · n=28 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 69.1 · n=30 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 68.2 · n=27 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 74.1 · n=28 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 73.9 · n=28 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 76.0 · n=26 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 71.9 · n=20 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 71.0 · n=18 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 72.7 · n=14 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 69.6 · n=13 · 2026-09-25T21:57:03+00:00 – 2026-10-02T21:57:03+00:00 69.6 09-0309-1109-1809-2510-02
Daily readings & sample sizes
DateScorenScoring window (UTC)
2026-10-0269.6132026-09-25T21:57:03+00:00 – 2026-10-02T21:57:03+00:00
2026-10-0172.7142026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00
2026-09-3071.0182026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00
2026-09-2971.9202026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00
2026-09-2876.0262026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00
2026-09-2773.9282026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00
2026-09-2674.1282026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00
2026-09-2568.2272026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00
2026-09-2469.1302026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00
2026-09-2369.0282026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00
2026-09-2262.6222026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:00
2026-09-2160.9202026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:00
2026-09-2064.7192026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:00
2026-09-1960.0202026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:00
2026-09-1862.7222026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:00
2026-09-1754.5202026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:00
2026-09-1652.0272026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:00
2026-09-1549.4402026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:00
2026-09-1447.7432026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:00
2026-09-1348.1562026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:00
2026-09-1252.9712026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:00
2026-09-1153.0672026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:00
2026-09-1056.0712026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:00
2026-09-0960.0622026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:00
2026-09-0864.3582026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:00
2026-09-0761.5702026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:00
2026-09-0660.0752026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:00
2026-09-0557.4602026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:00
2026-09-0457.1652026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:00
2026-09-0356.3622026-08-27T23:00:03+00:00 – 2026-09-03T23:00:03+00:00

Zhihu · 69.6 · 13 scored comments · Read platform reviews →

ONE MODEL, DIFFERENT COMMUNITIES

Across the communities

Last 7 days

Scored separately for each platform, with different samples and audiences. Platform scores are not simply averaged; scored counts exclude quota-only comments.

Scores range from 0 to 100. Select a platform for its trend and reviews. Latest opinion time is not crawler health.

Community reviews

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

0 selected excerpts

Community reports about limits cannot establish official allowances.

No selected comments for this filter in the last 7 days.

Explore long-term changes & analysis

Model lifecycle

Kimi K3

Released 2026-07-16 · Back to Kimi

Exact-version signals observed 2026-09-23–2026-10-01 · n=88

Data window: 2026-09-04 00:00:00 to 2026-10-02 00:00:00 UTC · Scoring method: experience_score_v3.

Insufficient historical baseline The original baseline window lacks enough current-method evidence for a long-term comparison.

Lifecycle updated daily · latest complete UTC day 2026-10-01

The current classification method has insufficient evidence in the original baseline window. The window is preserved; no long-term improvement or decline is inferred, and old-method scores are not compared.

Fixed 14-day baseline
–
n=0
Latest 28 days
67.3
n=76
Change vs baseline
–
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 experience40506070802026-09-15–2026-09-29 · 72.1 · n=532026-09-16–2026-09-30 · 70.4 · n=662026-09-17–2026-10-01 · 67.3 · n=7608-1308-2208-3109-0909-1809-2710-01

0 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.

No category has enough samples in both windows for a contribution conclusion.

Category Baseline → current Category change Weight share Experience contribution Discussion-mix contribution
Coding Baseline → currentnot enough datan=0 → 6 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Image generation Baseline → currentnot enough datan=0 → 0 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Image understanding Baseline → currentnot enough datan=0 → 0 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Local deploy Baseline → currentnot enough datan=0 → 5 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Reasoning Baseline → currentnot enough datan=0 → 14 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 → 0 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Speed & latency Baseline → currentnot enough datan=0 → 17 Category change– Weight share– Experience contribution– Discussion-mix contribution–
General text Baseline → currentnot enough datan=0 → 35 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–

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.

How's your AI experience today?