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Kimi · Last 7 days

Kimi K3

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

Updated 2026-10-03 09:17 UTC · 2026-09-26 – 2026-10-03 UTC
All-platform score59.4/10060 comments in 7 days

Discussion overview

What the full sample discusses

All platforms · 60 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 · 13 comments: 2 positive / 7 negative / 4 mixed or neutral
  • Reasoning · 11 comments: 8 positive / 3 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: −5.0 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 32 · RedNote 8 · Zhihu 18

39 identifiable discussions cover 58/60 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 2026-10-03 09:17:02 UTC, Kimi K3 in the Kimi family has 60 explicitly attributed community comments in the last 7 days; its community score is 59.4/100. Available category scores include General text 63.7/100 (n=20); Coding 67.9/100 (n=6); Reasoning 62.0/100 (n=11). Scoring method and sources

RECENT EXPERIENCE

How the Experience Index is changing

Not enough historyvs 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 · RedNote · 30 days of rolling 7-day experience scores 40506070 Observed-day mean: 57.9 2026-09-04 · 49.7 · n=7 · 2026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:002026-09-05 · 49.7 · n=7 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 49.7 · n=7 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-30 · 62.8 · n=6 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 62.8 · n=6 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 65.3 · n=7 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 65.3 · n=7 · 2026-09-26T09:17:02+00:00 – 2026-10-03T09:17:02+00:00 65.3 09-0409-1209-1909-2610-03 Kimi K3 · RedNote · 30 days of rolling 7-day experience scores 40506070 Observed-day mean: 57.9 2026-09-04 · 49.7 · n=7 · 2026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:002026-09-05 · 49.7 · n=7 · 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:002026-09-06 · 49.7 · n=7 · 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:002026-09-30 · 62.8 · n=6 · 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:002026-10-01 · 62.8 · n=6 · 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:002026-10-02 · 65.3 · n=7 · 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:002026-10-03 · 65.3 · n=7 · 2026-09-26T09:17:02+00:00 – 2026-10-03T09:17:02+00:00 65.3 09-0409-1209-1909-2610-03
Daily readings & sample sizes
DateScorenScoring window (UTC)
2026-10-0365.372026-09-26T09:17:02+00:00 – 2026-10-03T09:17:02+00:00
2026-10-0265.372026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:00
2026-10-0162.862026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00
2026-09-3062.862026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00
2026-09-29—22026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00
2026-09-28—12026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00
2026-09-27—12026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00
2026-09-26—02026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00
2026-09-25—02026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00
2026-09-24—02026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00
2026-09-23—02026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00
2026-09-22—02026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:00
2026-09-21—02026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:00
2026-09-20—02026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:00
2026-09-19—02026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:00
2026-09-18—02026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:00
2026-09-17—02026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:00
2026-09-16—02026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:00
2026-09-15—22026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:00
2026-09-14—32026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:00
2026-09-13—32026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:00
2026-09-12—32026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:00
2026-09-11—32026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:00
2026-09-10—42026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:00
2026-09-09—22026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:00
2026-09-08—32026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:00
2026-09-07—42026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:00
2026-09-0649.772026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:00
2026-09-0549.772026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:00
2026-09-0449.772026-08-28T23:00:03+00:00 – 2026-09-04T23:00:03+00:00

RedNote · 65.3 · 7 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.

RedditLatest scored opinion 2026-10-03 04:35 UTC48.229 opinionsvs 7d ago −13.5Hacker NewsLatest scored opinion 2026-10-02 19:16 UTC—2 opinionsInsufficient sampleZhihuLatest scored opinion 2026-10-03 05:00 UTC66.114 opinionsvs 7d ago −8.0RedNoteLatest scored opinion 2026-10-02 18:18 UTC65.37 opinionsvs 7d ago Not enough history

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.

Platform
Sentiment

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 2026-09-23–2026-10-02 · n=92

Data window: 2026-09-05 00:00:00 to 2026-10-03 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 2026-10-02

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
67.6
n=80
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=7908-1308-2208-3109-0909-1809-2710-02

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 → 5 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Reasoning Baseline → currentnot enough datan=0 → 16 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 → 18 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.

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