【文章标题】：The Pelican comparison grid for Astra is pretty interesting
【文章标题】：Astra的鹈鹕对比网格相当有趣
【文章正文】：
I got access to GPT-6 Astra this afternoon, so naturally I used it to generate
今天下午我获得了GPT-6 Astra的访问权限，于是很自然地用它生成了
SVGs of pelicans riding bicycles
骑自行车的鹈鹕的SVG图像
- at low, medium, high, xhigh and max reasoning levels (Astra doesn’t support reasoning=none). Then I rendered those pelicans in
- 在低、中、高、极高和最大推理级别下（Astra不支持无推理模式）。然后我将这些鹈鹕图像以
a comparison grid
对比网格的形式
with GPT-5.6 Sol, Terra, and Luna, and beyond being fun the result was surprisingly useful.
与GPT-5.6 Sol、Terra和Luna进行对比，结果不仅有趣，还出人意料地实用。
See
查看
the grid
对比网格
for full quality images. Here’s
获取完整质量的图像。这是
the transcript
生成GPT-6 Nova鹈鹕的
that created the GPT-6 Nova pelicans.
完整记录。
There are a few interesting things that stand out from this grid.
从这个对比网格中可以发现几个突出的有趣现象。
The Astra pelicans are
Astra生成的鹈鹕
much better
优秀得多
. The very best GPT-5.6-Sol pelican (I liked xhigh better than max) is still pretty clearly a bunch of abstract shapes. Every single one of the Astra pelicans, from low to xhigh, looks better than that. The Astra max one is really good.
。即便是GPT-5.6-Sol的最佳鹈鹕（我个人认为极高模式比最大模式更好），仍然明显是一堆抽象形状。而Astra从低到极高模式生成的每只鹈鹕都比它强，最大模式的鹈鹕更是堪称完美。
Astra below max still doesn’t reliably get the pelican legs on both sides of the frame.
非最大模式的Astra仍无法稳定生成画面两侧都有鹈鹕腿的图像。
In terms of cost, Astra may be around twice the price of Sol (50/million output, compared to 30 for Sol), but it uses significantly less tokens at each of the levels, making the prices at the different levels closer than they might otherwise be.
成本方面，Astra价格约为Sol的两倍（输入每百万次10美元，输出每百万次50美元，而Sol是5/30美元），但它在每个级别消耗的token数显著更少，使得不同级别间的实际价格差距比表面数字更小。
Astra low produces a better pelican than ANY of the GPT-5.6 Sol models at any level, for 9.55 cents. Spending 10 cents on any other model gets a much worse result.
Astra低模式仅需9.55美分就能生成比任何级别GPT-5.6 Sol都更好的鹈鹕，而其他模型花10美分得到的结果要差得多。
Look at the input token counts: Astra and Luna both used 16 input tokens, Sol and Terra used 26. That’s interesting.
注意输入token计数：Astra和Luna都只用了16个输入token，而Sol和Terra用了26个，这很有趣。
I wonder if Astra and Luna are more related to each other than OpenAI let on?
我在想Astra和Luna之间的关系是否比OpenAI公开的更为密切？
Tags:
标签：
ai
人工智能
,
、
openai
OpenAI
,
、
generative-ai
生成式AI
,
、
llms
大语言模型
,
、
pelican-riding-a-bicycle
骑自行车的鹈鹕
,
、
gpt-6-astra
GPT-6 Astra
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