GPT 5.3 codex (xhigh)
A top-tier result with 57/151 tasks solved at least once and 31/151 solved in all three attempts; strongest around large Python/Django application repairs plus automation and configuration-management work. 这是一个第一梯队结果：151 题中至少一次解出 57 题，三次都解出 31 题；强项主要落在大型 Python/Django 应用修复以及自动化和配置管理类改动。
How to read this result可以这样读
- GPT 5.3 codex (xhigh) is best read as front-runner with a balanced profile: rank #4, 57 reached tasks, 31 stable solves.GPT 5.3 codex (xhigh) 更适合读成第一梯队里的均衡型：排名 #4，触达 57 题，稳定解出 31 题。
- Best suite signal: Open Library · release 013 at 10/10 (100.0%).最强 suite 信号：Open Library · release 013，10/10（100.0%）。
- Weakest visible area: Flipt · release 008 at 0/10 (0.0%).最弱可见区域：Flipt feature flag 服务 · release 008，0/10（0.0%）。
- This Codex row searches broadly, but the lower repeatability says several wins still depend on one successful trajectory.这一行 Codex 搜索面很宽，但较低的重复稳定性说明不少胜利仍依赖某一次成功轨迹。
GPT 5.3 codex (xhigh) belongs in the leading cluster because it keeps both breadth and stability in play: 57 reached tasks, 31 stable solves, and a 36.09 Final Score.
The closest family reference is GPT 5.5 (xhigh) at rank #2. Compared with that row, this one is 0.79 points behind, with 6 more reached tasks and 9 fewer stable solves.
Most of the positive signal concentrates in Open Library · release 013 at 10/10 (100.0%). The opposing read is Flipt · release 008 at 0/10 (0.0%), which keeps the row from looking like a generalist. This Codex row searches broadly, but the lower repeatability says several wins still depend on one successful trajectory.
The suite profile explains why this top-row score feels different from nearby rows: it shows whether the model wins by depth, breadth, or repository fit.
The cases are useful because top rows can look similar in aggregate. Work search emits over-escaped edition_key filters and does not expose raw user queries as parameters. shows the reliable core; Author matching fails with different date formats and special characters in names shows the remaining edge of variance.
The audit trims 33 solved attempts from GPT 5.3 codex (xhigh) but still keeps 75% of the solved set, so the suite shape remains useful even where individual wins are debatable.
The available audit keeps 98 of 131 initial solved attempts. Read this as a robustness check, especially when the audit sample is smaller than 453 attempts.当前可用复核保留了 131 次初始成功中的 98 次。这更适合作为稳健性检查，特别是在复核样本小于 453 次尝试时。
In practice, read it through the gap between Open Library · release 013 at 10/10 (100.0%) and Flipt · release 008 at 0/10 (0.0%). That gap is more actionable than the rank because it says which repo shape gets coherent patches. The 131/453 attempt score is the backdrop; the article above is about which parts of that score are repeatable enough to matter.
Supporting suite table
| Suite | Repo | Solved | Pass^3 | Rate |
|---|---|---|---|---|
release-zh-013-internetarchive-openlibrary |
internetarchive/openlibrary | 10/10 | 7 | 100.0% |
release-zh-014-internetarchive-openlibrary |
internetarchive/openlibrary | 8/10 | 5 | 80.0% |
release-zh-012-future-architect-vuls |
future-architect/vuls | 3/4 | 2 | 75.0% |
release-zh-004-ansible-ansible |
ansible/ansible | 2/3 | 1 | 66.7% |
release-zh-010-future-architect-vuls |
future-architect/vuls | 6/10 | 1 | 60.0% |
release-zh-015-internetarchive-openlibrary |
internetarchive/openlibrary | 6/10 | 3 | 60.0% |
release-zh-008-flipt-io-flipt |
flipt-io/flipt | 0/10 | 0 | 0.0% |
release-zh-018-qutebrowser-qutebrowser |
qutebrowser/qutebrowser | 0/9 | 0 | 0.0% |
release-zh-005-flipt-io-flipt |
flipt-io/flipt | 1/10 | 0 | 10.0% |
release-zh-006-flipt-io-flipt |
flipt-io/flipt | 2/10 | 2 | 20.0% |
GPT 5.3 codex (xhigh) 能进入第一梯队，是因为覆盖和稳定性都没有掉队：至少一次解出 57 题，稳定解出 31 题，Final Score 36.09。
最接近的同系参照是排名 #2 的 GPT 5.5 (xhigh)。和它相比，这一行最终分低 0.79 分，触达题多 6 个，稳定题少 9 个。
正面信号大多集中在Open Library · release 013，10/10（100.0%）。反向读法是Flipt feature flag 服务 · release 008，0/10（0.0%），它让这一行看起来不像通用型。这一行 Codex 搜索面很宽，但较低的重复稳定性说明不少胜利仍依赖某一次成功轨迹。
suite 画像解释了为什么这一行的头部分数和邻近模型质感不同：它显示模型是靠深度、广度，还是代码库适配取胜。
前排模型在总分上容易看起来相似，所以案例很关键：Work search 发出过度转义的 edition_key 过滤器，且未将原始用户查询作为参数公开。 展示可靠核心，不同 date formats 和 name 中 special characters 会导致 author matching 失败 展示剩余波动边界。
复核从 GPT 5.3 codex (xhigh) 中剔除了 33 次成功，但仍保留 75% 的成功集合，因此即便个别胜利有争议，suite 形状仍然有参考价值。
The available audit keeps 98 of 131 initial solved attempts. Read this as a robustness check, especially when the audit sample is smaller than 453 attempts.当前可用复核保留了 131 次初始成功中的 98 次。这更适合作为稳健性检查，特别是在复核样本小于 453 次尝试时。
实际选择时，更应该通过Open Library · release 013，10/10（100.0%）和Flipt feature flag 服务 · release 008，0/10（0.0%）之间的落差来读它。这个落差比分数排名更可操作，因为它说明哪类代码库更容易得到连贯补丁。131/453 的单次尝试成功数只是背景；上面的文章重点是哪些部分足够可重复、值得当成能力看。
支撑这个判断的 suite 表
| Suite | Repo | 解出 | Pass^3 | 通过率 |
|---|---|---|---|---|
release-zh-013-internetarchive-openlibrary |
internetarchive/openlibrary | 10/10 | 7 | 100.0% |
release-zh-014-internetarchive-openlibrary |
internetarchive/openlibrary | 8/10 | 5 | 80.0% |
release-zh-012-future-architect-vuls |
future-architect/vuls | 3/4 | 2 | 75.0% |
release-zh-004-ansible-ansible |
ansible/ansible | 2/3 | 1 | 66.7% |
release-zh-010-future-architect-vuls |
future-architect/vuls | 6/10 | 1 | 60.0% |
release-zh-015-internetarchive-openlibrary |
internetarchive/openlibrary | 6/10 | 3 | 60.0% |
release-zh-008-flipt-io-flipt |
flipt-io/flipt | 0/10 | 0 | 0.0% |
release-zh-018-qutebrowser-qutebrowser |
qutebrowser/qutebrowser | 0/9 | 0 | 0.0% |
release-zh-005-flipt-io-flipt |
flipt-io/flipt | 1/10 | 0 | 10.0% |
release-zh-006-flipt-io-flipt |
flipt-io/flipt | 2/10 | 2 | 20.0% |