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DeepSeek · Last 7 days

DeepSeek V4 Pro

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

Updated 2026-09-15 13:27 UTC · 2026-09-08 – 2026-09-15 UTC
Community score43.4/100165 comments in 7 days

As of 2026-09-15 14:07:02 UTC, DeepSeek V4 Pro in the DeepSeek family has 165 explicitly attributed community comments in the last 7 days; its community score is 43.4/100. Available category scores include General text 33.1/100 (n=105); Reasoning 71.3/100 (n=24); Roleplay / creative 65.7/100 (n=17). 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

PositiveReasoning

“Deepseek v4 pro is much better than the current 4.1 flash”

Redditen
PositiveReasoning

“Pro's responses should at least speak human language, slower is okay just don't speak nonsense”

ZhihuzhMachine translated
Show original

Pro 回复就说人话一些，慢一点也行不要不说人话

PositiveReasoning

“The evaluation is that even if DeepSeek V4 Pro were the product manager, it would still be better than now.”

ZhihuzhMachine translated
Show original

评价为即使是deepseek v4pro做产品经理，也比现在好

Explore long-term changes & analysis

Model lifecycle

DeepSeek V4 Pro

Released 2026-04-24 · Back to DeepSeek

Exact-version signals observed 2026-08-07–2026-09-14 · n=1,129

Data window: 2026-08-18 00:00:00 to 2026-09-15 00:00:00 UTC · Scoring method: experience_score_v2.

Trend history still collecting The current window is ready; 3 of 4 independent segments are available.

Lifecycle updated daily · latest complete UTC day 2026-09-14

Fixed 14-day baseline
36.6
n=484
Latest 28 days
43.2
n=277
Change vs baseline
+6.6
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 2026-08-14 to 2026-09-15; latest score 45.2, fixed baseline 36.6.30405060Fixed baseline 36.62026-07-31–2026-08-14 · 36.6 · n=4842026-08-01–2026-08-15 · 35.0 · n=5572026-08-02–2026-08-16 · 33.3 · n=7342026-08-03–2026-08-17 · 33.4 · n=8172026-08-04–2026-08-18 · 33.6 · n=8462026-08-05–2026-08-19 · 33.7 · n=8642026-08-06–2026-08-20 · 33.7 · n=8842026-08-07–2026-08-21 · 33.7 · n=8972026-08-08–2026-08-22 · 33.7 · n=9022026-08-09–2026-08-23 · 33.6 · n=9022026-08-10–2026-08-24 · 33.6 · n=9042026-08-11–2026-08-25 · 33.6 · n=9072026-08-12–2026-08-26 · 33.7 · n=8992026-08-13–2026-08-27 · 32.2 · n=7732026-08-14–2026-08-28 · 31.2 · n=4362026-08-15–2026-08-29 · 32.8 · n=3642026-08-16–2026-08-30 · 37.5 · n=1892026-08-17–2026-08-31 · 39.2 · n=1092026-08-18–2026-09-01 · 39.6 · n=822026-08-19–2026-09-02 · 39.5 · n=652026-08-20–2026-09-03 · 41.9 · n=452026-08-21–2026-09-04 · 47.0 · n=452026-08-22–2026-09-05 · 49.6 · n=462026-08-23–2026-09-06 · 49.9 · n=442026-08-24–2026-09-07 · 50.7 · n=422026-08-25–2026-09-08 · 49.5 · n=382026-08-26–2026-09-09 · 49.7 · n=442026-08-27–2026-09-10 · 42.6 · n=942026-08-28–2026-09-11 · 38.9 · n=1212026-08-29–2026-09-12 · 40.5 · n=1402026-08-30–2026-09-13 · 43.5 · n=1702026-08-31–2026-09-14 · 45.0 · n=1842026-09-01–2026-09-15 · 45.2 · n=19508-1408-2008-2609-0109-0709-1309-15

3 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 → current56.9 → 59.0n=55 → 19 Category change+2.1 Weight share12.5% → 7.4% Experience contribution+0.21 Discussion-mix contribution−0.93
Speed & latency Baseline → current39.4 → 42.9n=33 → 27 Category change+3.5 Weight share6.9% → 9.7% Experience contribution+0.29 Discussion-mix contribution+0.04
Reasoning Baseline → current60.0 → 65.4n=95 → 52 Category change+5.4 Weight share21.1% → 19.5% Experience contribution+1.09 Discussion-mix contribution−0.37
General text Baseline → current22.6 → 29.9n=290 → 155 Category change+7.2 Weight share57.0% → 54.8% Experience contribution+4.04 Discussion-mix contribution+0.30
Image / vision Baseline → currentnot enough datan=0 → 0 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Local deploy Baseline → currentnot enough datan=4 → 0 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Roleplay / creative Baseline → currentnot enough datan=8 → 19 Category change– Weight share– Experience contribution– Discussion-mix contribution–
Safety & refusals Baseline → currentnot enough datan=1 → 5 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: +1.95 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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