OctoCodingbench
MiniMax-M2.1 26.1% Fading Agents complete 72 coding tasks while following rules from system prompts, AGENTS.md files, skills, and memory. An LLM judge checks 2,422 pass or fail items.
MiniMax first reported it as internal, then released the tasks in January 2026.
Made by MiniMax Released Dec 2025 Fixing real repositories All tasks public Last in a launch post Dec 2025 , dropped before it saturated
Last model added Dec 2025
- Level
- University Undergraduates and entry-level professionals
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
MiniMax-M2.1 leads with 26.1%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1 MiniMax-M2.1 26.1%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | MiniMax-M2.1 | 26.1% | Dec 2025 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Reported by the lab in its model card
Labs headline it less often now, last in Dec 2025
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 23 Dec 2025 | MiniMax-M2.1 | 26.1 | OctoCodingbench |
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