Kimi · Last 7 days

Kimi K3

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

Updated 2026-10-04 08:32 UTC · 2026-09-27 – 2026-10-04 UTC
All-platform score60.8/10056 comments in 7 days

Discussion overview

What the full sample discusses

All platforms · 56 eligible comments over 7 days, including usage-limit feedback; deduplicated by source and comment.

  • General text · 16 comments: 10 positive / 4 negative / 2 mixed or neutral
  • Reasoning · 12 comments: 9 positive / 3 negative / 0 mixed or neutral
  • Speed & latency · 12 comments: 3 positive / 6 negative / 3 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: −4.5 points vs 7 days ago. Discussion mix can affect scores; this does not establish a cause.

Source coverage and discussion concentration

Hacker News 1 · Reddit 31 · RedNote 8 · Zhihu 16

35 identifiable discussions cover 55/56 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 2026-10-04 08:32:03 UTC, Kimi K3 in the Kimi family has 56 explicitly attributed community comments in the last 7 days; its community score is 60.8/100. Available category scores include General text 62.1/100 (n=16); Reasoning 64.0/100 (n=12); Speed & latency 41.7/100 (n=12). Scoring method and sources

RECENT EXPERIENCE

How the Experience Index is changing

−4.5vs 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 · All platforms · 30 days of rolling 7-day experience scores 4050607080 Observed-day mean: 58.2 2026-09-05 · 60.7 · n=109 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 62.4 · n=123 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 65.6 · n=122 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 64.1 · n=114 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 58.9 · n=122 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 55.9 · n=130 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 51.7 · n=117 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 50.1 · n=135 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 45.5 · n=118 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 44.9 · n=108 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 48.5 · n=101 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 50.7 · n=94 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 47.8 · n=92 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 52.7 · n=91 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-19 · 52.8 · n=80 · 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:002026-09-20 · 55.6 · n=76 · 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:002026-09-21 · 53.1 · n=92 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 54.1 · n=93 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 58.9 · n=103 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 63.8 · n=101 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 62.9 · n=96 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 64.4 · n=95 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 65.3 · n=98 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 70.3 · n=79 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 70.1 · n=65 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 66.0 · n=57 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 63.0 · n=56 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 63.8 · n=56 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 61.5 · n=59 · 2026-09-26T23:57:02+00:00 – 2026-10-03T23:57:02+00:002026-10-04 · 60.8 · n=56 · 2026-09-27T08:32:03+00:00 – 2026-10-04T08:32:03+00:00 60.8 09-0509-1309-2009-2710-04 Kimi K3 · All platforms · 30 days of rolling 7-day experience scores 4050607080 Observed-day mean: 58.2 2026-09-05 · 60.7 · n=109 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 62.4 · n=123 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-07 · 65.6 · n=122 · 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:002026-09-08 · 64.1 · n=114 · 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:002026-09-09 · 58.9 · n=122 · 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:002026-09-10 · 55.9 · n=130 · 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:002026-09-11 · 51.7 · n=117 · 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:002026-09-12 · 50.1 · n=135 · 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:002026-09-13 · 45.5 · n=118 · 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:002026-09-14 · 44.9 · n=108 · 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:002026-09-15 · 48.5 · n=101 · 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:002026-09-16 · 50.7 · n=94 · 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:002026-09-17 · 47.8 · n=92 · 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:002026-09-18 · 52.7 · n=91 · 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:002026-09-19 · 52.8 · n=80 · 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:002026-09-20 · 55.6 · n=76 · 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:002026-09-21 · 53.1 · n=92 · 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:002026-09-22 · 54.1 · n=93 · 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:002026-09-23 · 58.9 · n=103 · 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:002026-09-24 · 63.8 · n=101 · 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:002026-09-25 · 62.9 · n=96 · 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:002026-09-26 · 64.4 · n=95 · 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:002026-09-27 · 65.3 · n=98 · 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:002026-09-28 · 70.3 · n=79 · 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:002026-09-29 · 70.1 · n=65 · 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:002026-09-30 · 66.0 · n=57 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 63.0 · n=56 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 63.8 · n=56 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 61.5 · n=59 · 2026-09-26T23:57:02+00:00 – 2026-10-03T23:57:02+00:002026-10-04 · 60.8 · n=56 · 2026-09-27T08:32:03+00:00 – 2026-10-04T08:32:03+00:00 60.8 09-0509-1309-2009-2710-04
Daily readings & sample sizes
DateScorenScoring window (UTC)
2026-10-0460.8562026-09-27T08:32:03+00:00 – 2026-10-04T08:32:03+00:00
2026-10-0361.5592026-09-26T23:57:02+00:00 – 2026-10-03T23:57:02+00:00
2026-10-0263.8562026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:00
2026-10-0163.0562026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00
2026-09-3066.0572026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00
2026-09-2970.1652026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00
2026-09-2870.3792026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00
2026-09-2765.3982026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00
2026-09-2664.4952026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00
2026-09-2562.9962026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00
2026-09-2463.81012026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00
2026-09-2358.91032026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00
2026-09-2254.1932026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:00
2026-09-2153.1922026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:00
2026-09-2055.6762026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:00
2026-09-1952.8802026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:00
2026-09-1852.7912026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:00
2026-09-1747.8922026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:00
2026-09-1650.7942026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:00
2026-09-1548.51012026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:00
2026-09-1444.91082026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:00
2026-09-1345.51182026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:00
2026-09-1250.11352026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:00
2026-09-1151.71172026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:00
2026-09-1055.91302026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:00
2026-09-0958.91222026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:00
2026-09-0864.11142026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:00
2026-09-0765.61222026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:00
2026-09-0662.41232026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:00
2026-09-0560.71092026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:00

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 2026-09-23–2026-10-03 · n=101

Data window: 2026-09-06 00:00:00 to 2026-10-04 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 2026-10-03

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
65.8
n=88
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=762026-09-18–2026-10-02 · 67.3 · n=792026-09-19–2026-10-03 · 65.8 · n=8808-1308-2208-3109-0909-1809-2710-03

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 → 1 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Local deploy Baseline → currentnot enough datan=0 → 6 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Reasoning Baseline → currentnot enough datan=0 → 19 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 → 21 Category change– Weight share– Experience contribution– Discussion-mix contribution–
General text Baseline → currentnot enough datan=0 → 36 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?