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 UTCAs 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
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.
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.
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.
Community reviews
Selected comments from the last 7 days. The balance of excerpts does not represent the share of positive reviews.
3 selected excerpts
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刚才用还是断的[捂脸]
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Pro 回复就说人话一些，慢一点也行不要不说人话
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pro贵点但能用
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从用户反馈来看，确实有生产系统依赖v4pro，而且现实世界里的切换时间比ai世界要长 能及时按实际情况进行快速调整，足见梁圣运营宗旨
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V4Pro 这个模型，不管成功还是失败，都是目前最容易获得的 T 级模型。对于某些特定需求，比方说 IMO。只有这种尺度的模型能够有较好的表现。
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评价为即使是deepseek v4pro做产品经理，也比现在好
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4.1f写文烂的要命，还是pro灵一点……
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Pro虽然已经是路边一条了，但是还真下不了桌
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pro比你想象中的鲸鱼娘更像鲸鱼娘，4.1已经开始湮灭人性咯，且用且珍惜
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V4 Pro 刚出来的时候和 V4 Pro 正式版出来的时候，我都说过性能问题
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世界知识比pro还有较大差距
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编程分榜glm5.3 flash > deepseek v4 pro 0813 > kimi k3
No selected comments for this filter in the last 7 days.