MiniMax M3
A competitive mid-table result with 56/151 tasks solved at least once and 25/151 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 56 题，三次都解出 25 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
- MiniMax M3 is best read as volatile explorer: rank #6, 56 reached tasks, 25 stable solves.MiniMax M3 更适合读成探索型但波动较大：排名 #6，触达 56 题，稳定解出 25 题。
- Best suite signal: Open Library · release 013 at 8/10 (80.0%).最强 suite 信号：Open Library · release 013，8/10（80.0%）。
- Weakest visible area: Flipt · release 005 at 0/10 (0.0%).最弱可见区域：Flipt feature flag 服务 · release 005，0/10（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。
MiniMax M3 is a volatile explorer row around the #6 slot. The useful reading is not just the 33.91 score, but the split between 56 reached tasks and 25 stable solves.
The closest family reference is MiniMax M2.5 highspeed at rank #14. Compared with that row, this one is 3.61 points ahead, with 10 more reached tasks and 3 more stable solves.
The result is easiest to understand as a three-point shape: volume at Open Library · release 013 at 8/10 (80.0%), efficiency at vuls · release 012 at 4/4 (100.0%), and resistance at Flipt · release 005 at 0/10 (0.0%). 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 8/10 (80.0%) and Flipt · release 005 at 0/10 (0.0%) is the model’s practical boundary.
The examples keep the middle-band story honest: Booknotes are deleted when updating work_id with conflicts is the upside, ImportAPI does not correctly split publishers and publish_places when the publisher field contains multiple locations is the failure surface, and the page should be read between those two poles.
The audit changes how to read MiniMax M3: only 57% of initial solved attempts survive, with 52 rejected attempts, while the exported score field stays flat. Treat the wins as leads that need stricter confirmation.
The available audit keeps 68 of 120 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 120 次初始成功中的 68 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 8/10 (80.0%) and Flipt · release 005 at 0/10 (0.0%). That gap is more actionable than the rank because it says which repo shape gets coherent patches. The 120/453 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-012-future-architect-vuls |
future-architect/vuls | 4/4 | 3 | 100.0% |
release-zh-013-internetarchive-openlibrary |
internetarchive/openlibrary | 8/10 | 4 | 80.0% |
release-zh-015-internetarchive-openlibrary |
internetarchive/openlibrary | 7/10 | 1 | 70.0% |
release-zh-004-ansible-ansible |
ansible/ansible | 2/3 | 1 | 66.7% |
release-zh-001-ansible-ansible |
ansible/ansible | 6/10 | 3 | 60.0% |
release-zh-003-ansible-ansible |
ansible/ansible | 6/10 | 4 | 60.0% |
release-zh-005-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-017-navidrome-navidrome |
navidrome/navidrome | 0/5 | 0 | 0.0% |
release-zh-006-flipt-io-flipt |
flipt-io/flipt | 1/10 | 1 | 10.0% |
MiniMax M3 是一个排名 #6 附近的探索型但波动较大结果。它的重点不只是 33.91 分，而是 56 道触达题和 25 道稳定题之间的差距。
最接近的同系参照是排名 #14 的 MiniMax M2.5 highspeed。和它相比，这一行最终分高 3.61 分，触达题多 10 个，稳定题多 3 个。
这个结果最容易读成三点形状：数量在Open Library · release 013，8/10（80.0%），效率在vuls 漏洞扫描器 · release 012，4/4（100.0%），阻力在Flipt feature flag 服务 · release 005，0/10（0.0%）。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 013，8/10（80.0%）和Flipt feature flag 服务 · release 005，0/10（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：更新存在冲突的 work_id 时会删除 Booknotes 是上限，ImportAPI 在 publisher 字段包含多个位置时无法正确拆分 publishers 和 publish_places 是失败面，这页应该在两者之间读。
复核改变了 MiniMax M3 的读法：初始成功只有 57% 保留下来，52 次被剔除，但当前导出的分数字段没有变化。原始胜利更适合作为线索，需要更严格确认。
The available audit keeps 68 of 120 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 120 次初始成功中的 68 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 013，8/10（80.0%）和Flipt feature flag 服务 · release 005，0/10（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。120/453 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-012-future-architect-vuls |
future-architect/vuls | 4/4 | 3 | 100.0% |
release-zh-013-internetarchive-openlibrary |
internetarchive/openlibrary | 8/10 | 4 | 80.0% |
release-zh-015-internetarchive-openlibrary |
internetarchive/openlibrary | 7/10 | 1 | 70.0% |
release-zh-004-ansible-ansible |
ansible/ansible | 2/3 | 1 | 66.7% |
release-zh-001-ansible-ansible |
ansible/ansible | 6/10 | 3 | 60.0% |
release-zh-003-ansible-ansible |
ansible/ansible | 6/10 | 4 | 60.0% |
release-zh-005-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-017-navidrome-navidrome |
navidrome/navidrome | 0/5 | 0 | 0.0% |
release-zh-006-flipt-io-flipt |
flipt-io/flipt | 1/10 | 1 | 10.0% |