DeepSeek v4 flash (max)
A competitive mid-table result with 44/151 tasks solved at least once and 20/151 solved in all three attempts; strongest around large Python/Django application repairs plus automation and configuration-management work. 这是一个有竞争力的中游结果：151 题中至少一次解出 44 题，三次都解出 20 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
- DeepSeek v4 flash (max) is best read as volatile explorer: rank #15, 44 reached tasks, 20 stable solves.DeepSeek v4 flash (max) 更适合读成探索型但波动较大：排名 #15，触达 44 题，稳定解出 20 题。
- Best suite signal: Open Library · release 013 at 9/10 (90.0%).最强 suite 信号：Open Library · release 013，9/10（90.0%）。
- Weakest visible area: qutebrowser · release 018 at 0/9 (0.0%).最弱可见区域：qutebrowser 浏览器 · release 018，0/9（0.0%）。
- Because the agent shell is OpenCode, the result mostly exposes the underlying model's planning habits rather than a heavily opinionated workflow.因为 agent shell 是 OpenCode，这个结果更直接暴露底层模型的规划习惯，而不是强工作流包装后的表现。
DeepSeek v4 flash (max) is a volatile explorer row around the #15 slot. The useful reading is not just the 28.99 score, but the split between 44 reached tasks and 20 stable solves.
The closest family reference is DeepSeek v4 pro (max) at rank #7. Compared with that row, this one is 3.96 points behind, with 4 fewer reached tasks and 8 fewer stable solves.
Most of the positive signal concentrates in Open Library · release 013 at 9/10 (90.0%). The opposing read is qutebrowser · release 018 at 0/9 (0.0%), which keeps the row from looking like a generalist. Because the agent shell is OpenCode, the result mostly exposes the underlying model’s planning habits rather than a heavily opinionated workflow.
For this row, the suite bars are a contrast tool. The distance between Open Library · release 013 at 9/10 (90.0%) and qutebrowser · release 018 at 0/9 (0.0%) is the model’s practical boundary.
The examples keep the middle-band story honest: Evaluation responses lack contextual reason for the result is the upside, Reversible Password Encryption in Navidrome is the failure surface, and the page should be read between those two poles.
The audit trims 20 solved attempts from DeepSeek v4 flash (max) but still keeps 79% of the solved set, so the suite shape remains useful even where individual wins are debatable.
The available audit keeps 75 of 95 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 95 次初始成功中的 75 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 9/10 (90.0%) and qutebrowser · release 018 at 0/9 (0.0%). That gap is more actionable than the rank because it says which repo shape gets coherent patches. The 95/453 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 | 9/10 | 2 | 90.0% |
release-zh-012-future-architect-vuls |
future-architect/vuls | 3/4 | 3 | 75.0% |
release-zh-014-internetarchive-openlibrary |
internetarchive/openlibrary | 5/10 | 1 | 50.0% |
release-zh-015-internetarchive-openlibrary |
internetarchive/openlibrary | 5/10 | 1 | 50.0% |
release-zh-003-ansible-ansible |
ansible/ansible | 4/10 | 3 | 40.0% |
release-zh-016-internetarchive-openlibrary |
internetarchive/openlibrary | 2/5 | 0 | 40.0% |
release-zh-018-qutebrowser-qutebrowser |
qutebrowser/qutebrowser | 0/9 | 0 | 0.0% |
release-zh-017-navidrome-navidrome |
navidrome/navidrome | 0/5 | 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 | 1/10 | 1 | 10.0% |
DeepSeek v4 flash (max) 是一个排名 #15 附近的探索型但波动较大结果。它的重点不只是 28.99 分，而是 44 道触达题和 20 道稳定题之间的差距。
最接近的同系参照是排名 #7 的 DeepSeek v4 pro (max)。和它相比，这一行最终分低 3.96 分，触达题少 4 个，稳定题少 8 个。
正面信号大多集中在Open Library · release 013，9/10（90.0%）。反向读法是qutebrowser 浏览器 · release 018，0/9（0.0%），它让这一行看起来不像通用型。因为 agent shell 是 OpenCode，这个结果更直接暴露底层模型的规划习惯，而不是强工作流包装后的表现。
对这一行来说，suite 柱更像对比工具。Open Library · release 013，9/10（90.0%）和qutebrowser 浏览器 · release 018，0/9（0.0%）之间的距离，就是模型的实用边界。
这些案例让中段模型画像更具体：Evaluation responses lack contextual reason for the result 是上限，Navidrome 中的可逆密码加密 是失败面，这页应该在两者之间读。
复核从 DeepSeek v4 flash (max) 中剔除了 20 次成功，但仍保留 79% 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 75 of 95 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 95 次初始成功中的 75 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 013，9/10（90.0%）和qutebrowser 浏览器 · release 018，0/9（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。95/453 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 | 9/10 | 2 | 90.0% |
release-zh-012-future-architect-vuls |
future-architect/vuls | 3/4 | 3 | 75.0% |
release-zh-014-internetarchive-openlibrary |
internetarchive/openlibrary | 5/10 | 1 | 50.0% |
release-zh-015-internetarchive-openlibrary |
internetarchive/openlibrary | 5/10 | 1 | 50.0% |
release-zh-003-ansible-ansible |
ansible/ansible | 4/10 | 3 | 40.0% |
release-zh-016-internetarchive-openlibrary |
internetarchive/openlibrary | 2/5 | 0 | 40.0% |
release-zh-018-qutebrowser-qutebrowser |
qutebrowser/qutebrowser | 0/9 | 0 | 0.0% |
release-zh-017-navidrome-navidrome |
navidrome/navidrome | 0/5 | 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 | 1/10 | 1 | 10.0% |