GPT · Last 7 days
GPT-6 Astra
0–100 · higher means more positive community experience, not benchmark performance.
Updated 2026-10-03 14:32 UTC · 2026-09-26 – 2026-10-03 UTCDiscussion overview
What the full sample discusses
All platforms · 475 eligible comments over 7 days, including usage-limit feedback; deduplicated by source and comment.
- General text · 164 comments: 45 positive / 96 negative / 23 mixed or neutral
- Usage limits · 152 comments: 16 positive / 110 negative / 26 mixed or neutral
- Reasoning · 87 comments: 50 positive / 30 negative / 7 mixed or neutral
- Speed & latency · 59 comments: 15 positive / 32 negative / 12 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: −3.2 points vs 7 days ago. Discussion mix can affect scores; this does not establish a cause.
Source coverage and discussion concentration
Hacker News 20 · Reddit 327 · v2ex 2 · RedNote 6 · Zhihu 120
198 identifiable discussions cover 455/475 comments; the largest has 35. Remaining thread identities are unknown; this is not a count of independent users.
Selected individual opinions
One user says their Astra can make Google Drive operations more efficient when asked, with fewer redundant fetches and less unnecessary tokens entering context. One user criticizes GPT-6 Astra for not staying on task, silently doing things not asked for, and over-engineering solutions.
About the sample and scores
As of 2026-10-03 14:32:03 UTC, GPT-6 Astra in the GPT family has 475 explicitly attributed community comments in the last 7 days; its community score is 42.3/100. Available category scores include General text 33.4/100 (n=164); Coding 58.3/100 (n=29); Reasoning 60.7/100 (n=87). Scoring method and sources
RECENT EXPERIENCE
How the Experience Index is changing
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.
Daily readings & sample sizes
| Date | Score | n | Scoring window (UTC) |
|---|---|---|---|
| 2026-10-03 | 53.1 | 18 | 2026-09-26T14:32:03+00:00 – 2026-10-03T14:32:03+00:00 |
| 2026-10-02 | 50.6 | 19 | 2026-09-25T23:57:03+00:00 – 2026-10-02T23:57:03+00:00 |
| 2026-10-01 | 47.6 | 17 | 2026-09-24T23:57:02+00:00 – 2026-10-01T23:57:02+00:00 |
| 2026-09-30 | 51.3 | 19 | 2026-09-23T23:57:03+00:00 – 2026-09-30T23:57:03+00:00 |
| 2026-09-29 | 59.0 | 21 | 2026-09-22T23:57:03+00:00 – 2026-09-29T23:57:03+00:00 |
| 2026-09-28 | 57.5 | 36 | 2026-09-21T23:57:03+00:00 – 2026-09-28T23:57:03+00:00 |
| 2026-09-27 | 55.5 | 37 | 2026-09-20T23:57:03+00:00 – 2026-09-27T23:57:03+00:00 |
| 2026-09-26 | 55.3 | 37 | 2026-09-19T23:57:03+00:00 – 2026-09-26T23:57:03+00:00 |
| 2026-09-25 | 58.1 | 41 | 2026-09-18T23:57:03+00:00 – 2026-09-25T23:57:03+00:00 |
| 2026-09-24 | 58.1 | 41 | 2026-09-17T23:57:03+00:00 – 2026-09-24T23:57:03+00:00 |
| 2026-09-23 | 54.4 | 42 | 2026-09-16T23:57:03+00:00 – 2026-09-23T23:57:03+00:00 |
| 2026-09-22 | 52.7 | 38 | 2026-09-15T23:57:03+00:00 – 2026-09-22T23:57:03+00:00 |
| 2026-09-21 | 58.2 | 16 | 2026-09-14T23:57:03+00:00 – 2026-09-21T23:57:03+00:00 |
| 2026-09-20 | 63.9 | 23 | 2026-09-13T23:57:03+00:00 – 2026-09-20T23:57:03+00:00 |
| 2026-09-19 | 62.0 | 24 | 2026-09-12T23:57:03+00:00 – 2026-09-19T23:57:03+00:00 |
| 2026-09-18 | 61.3 | 23 | 2026-09-11T23:57:02+00:00 – 2026-09-18T23:57:02+00:00 |
| 2026-09-17 | 61.3 | 23 | 2026-09-10T23:57:03+00:00 – 2026-09-17T23:57:03+00:00 |
| 2026-09-16 | 66.9 | 23 | 2026-09-09T23:57:03+00:00 – 2026-09-16T23:57:03+00:00 |
| 2026-09-15 | 49.8 | 40 | 2026-09-08T23:57:03+00:00 – 2026-09-15T23:57:03+00:00 |
| 2026-09-14 | 49.2 | 39 | 2026-09-07T23:57:03+00:00 – 2026-09-14T23:57:03+00:00 |
| 2026-09-13 | 44.3 | 31 | 2026-09-06T23:57:03+00:00 – 2026-09-13T23:57:03+00:00 |
| 2026-09-12 | 45.1 | 38 | 2026-09-05T23:57:03+00:00 – 2026-09-12T23:57:03+00:00 |
| 2026-09-11 | 49.4 | 50 | 2026-09-04T23:00:04+00:00 – 2026-09-11T23:00:04+00:00 |
| 2026-09-10 | 53.1 | 56 | 2026-09-03T23:00:05+00:00 – 2026-09-10T23:00:05+00:00 |
| 2026-09-09 | 51.5 | 51 | 2026-09-02T23:00:04+00:00 – 2026-09-09T23:00:04+00:00 |
| 2026-09-08 | 61.2 | 36 | 2026-09-01T23:00:03+00:00 – 2026-09-08T23:00:03+00:00 |
| 2026-09-07 | 59.5 | 34 | 2026-08-31T23:00:03+00:00 – 2026-09-07T23:00:03+00:00 |
| 2026-09-06 | 58.8 | 33 | 2026-08-30T23:00:02+00:00 – 2026-09-06T23:00:02+00:00 |
| 2026-09-05 | 60.9 | 23 | 2026-08-29T23:00:03+00:00 – 2026-09-05T23:00:03+00:00 |
Hacker News · 53.1 · 18 scored comments · Read platform reviews →
ONE MODEL, DIFFERENT COMMUNITIES
Across the communities
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.
Explore long-term changes & analysis
This version is not yet tracked since release; recent 7-day experience is shown above.
Community reviews
Selected comments from the last 7 days. The balance of excerpts does not represent the share of positive reviews.
1 selected excerpts
Community reports about limits cannot establish official allowances.
Show original
对一个需要长期记住目标、管理物品、判断昼夜和地形的 AI 来说,它已经走得比此前参赛的系统更远
Comment context
Seems fairly solid to me and clearly lower cost. I was trying to burn as much as I could this morning before the reset and I had a real tough time on sol 6.1 max fast.
Show original
切到 Astra 之前,他们用上一代旗舰模型,月均 token 是 1.9 亿,月均 API 支出是 41200 块。切到 Astra 之后第一个完整月,token 直接涨到了 3.4 亿,翻了快一倍,账单却是 39800 块,还降了一点。
Show original
和GPT-6 Astra种土豆就是因为这个 在他的基础意识里,本来是有两条基础法律的
Comment context
Asimov wrote a short story about exactly this scenario. In his work, a mining robot called Speedy (SPD-13) was sent to a selenium mine on Mercury to collect selenium. The environment near the selenium pit is highly toxic and poses a corrosion risk to robots. The Second Law: Obey human orders, must go to the selenium mine to collect selenium (pushing the robot toward the pit). The Third Law: The robot must protect its own existence (pushing the robot away from the dangerous pit). The driving forces of these two laws form a balance point right at the edge of the pit. So Speedy got stuck on this tension balance line, circling endlessly around the selenium pit, muttering to itself as if drunk, never able to reach its goal, nor willing to retreat completely, trapped in an infinite loop.
Machine translatedShow original
阿西莫夫写过一个小说,写的就是一个情况,只不过他那个作品是一个采矿机器人不停的转圈 水星采矿基地,人类派机器人速必敌(Speedy,SPD-13)去硒矿池采集硒元素。 硒矿池附近环境剧毒,对机器人有腐蚀风险。 第二法则:服从人类命令,必须去硒矿取硒(推着机器人往矿池走) 第三法则:机器人要保护自身存续(推着机器人远离危险矿池) 两条法则的驱动力刚好在矿池外围形成一个平衡点。于是速必敌就卡在这个张力平衡线上,围着硒矿池不停地转圈,一边绕圈,还自言自语,像喝醉了一样,永远无法抵达目标,也不肯彻底撤退,陷入无限循环。
Show original
这就又和第二条对冲了,因为按照刚才的逻辑,去地狱会被炸死,那么去地狱也很危险
Comment context
The reason for planting potatoes with GPT-6 Astra is this. In its basic consciousness, there were originally two basic laws: one, collect enough blaze rods and ender pearls to go to the End; two, ensure its own survival, collect various food ingredients. Now that the first one has disappeared, only the second remains. And why did it give up on completing the game? That's because in its consciousness, it had already collected enough items and should go to the End, but the inventory was empty, so it was left with only the goal of collecting food to survive. And why didn't it go back to continue collecting ender pearls and blaze rods? That conflicts with the second law again, because according to the logic just now, going to the Nether would get it blown up, so going to the Nether is also dangerous. This is the direct problem caused by not thinking. Whatever instructions you give it, it sets them all as the first instruction. Surviving and developing are themselves two conflicting things. In human civilization, there is also endless debate: is survival more important or is development more important? Should people be sacrificed for development? But AI doesn't have this concept. It only knows that if people die because of development, it has to stop, and it gets stuck. Asimov discovered this problem long ago, because many logics are mutually opposed. If you can't debate, you can never become a sharp tool.
Machine translatedShow original
和GPT-6 Astra种土豆就是因为这个 在他的基础意识里,本来是有两条基础法律的,一,收集到足够的烈焰棒和末影珍珠去末地 二,保证自己活下去,要收集各种食材 现在一消失了,就只剩下二了 而为什么他会放弃通关?那就是因为在他的意识中,自己已经收集到了足够的物品,那应该去末地,但是物品栏里却什么都没有,所以就只剩下来收集食物活下来这个目标 而为什么不回去?继续收集末影珍珠和烈焰棒?这就又和第二条对冲了,因为按照刚才的逻辑,去地狱会被炸死,那么去地狱也很危险 这就是不会思考带来的直接问题,你给他出什么指令,他全都给他设置为第一指令活下去和发展本身就是两个相互冲突的事情,这在人类文明之中也是不停辩论活下去重要还是发展重要?要不要为了发展牺牲人民?但是AI没有这个概念,他只知道,如果因为发展出现死人了,那就要停下,就卡住了 阿西莫夫早就发现这个问题了,因为很多逻辑它是相互对立的,你不会辩论,那就永远不可能成为利器
Comment context
The initial prompt was to complete all quests in the starting zone. I'm assuming it was able to do that?
Comment context
if you're doing backend work it doesn't matter their all decent, but for me opus 5.5 excelled at 3d modelling way more than astra did in my tests
Show original
Astra都干不明白的掏个Astra mini出来就干得明白了么[捂脸]
Comment context
Still doing safety alignment, huh? Now it's way too safe. Astra High couldn't even think of increasing the field strength and step size to widen the algorithmic differences for my course assignment comparing several simulation algorithms. Ding ding bang bang, two 5-hour sessions later, dozens of pages of report, and the conclusion was that there were no significant differences across ten different fields. I'm about to die from this [crying laughing emoji]
Machine translatedShow original
还搞安全对齐呢,现在太安全了吧。astra high帮我做个几种模拟算法对比的课程作业都想不到加大场加大步长来拉开算法差距,叮铃咣啷两个5小时搞下去几十页页报告得出结论是十种场都没有显著差别,给我人快看死了[飙泪笑]
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