Longform Writing
Kimi K2 Thinking 73.8%
Dropped Models write long-form text without tools, capped at 32k output tokens. Moonshot AI has not published the tasks or the scoring method.
In-house Moonshot AI evaluation with no public tasks.
- Made by
- Moonshot AI
- Released
- November 2025
- Kind
- Creative writing
- Level
- University
- Scored
- Graded by a model
- Answers
- Open-ended
- Tasks
- Kept private
- Strongest model tested
- Kimi K2 Thinking #93 on the capability index
- Last in a launch post
- November 2025, dropped before it saturated
- Last model added
- November 2025
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
Kimi K2 Thinking leads with 73.8%
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.
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Kimi K2 Thinking | 73.8% | Nov 2025 | Lab 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
Source: Labs’ model cards
No launch post has listed it since November 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 |
|---|---|---|---|
| Nov 6, 2025 | Kimi K2 Thinking | 73.8 | Longform Writing, no tools |
More in Writing and taste
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- WritingBench Fading Models complete 1,000 real-world writing requests across 6 domains and 100 subdomains. A judge model scores each reply on five query-specific criteria. GPT-5 83.9
- Creative Writing (MiniMax in-house) Only in system cards Models write creative pieces for real Hailuo AI user requests. Automatic assessments score the writing.
MiniMax-Text-01 81.3% - DeepSeek Chinese functional writing evaluation Only in system cards Models answer 3,170 everyday Chinese writing prompts such as reports, emails and speeches. Pairwise judging against a baseline model gives a win rate.
DeepSeek-V4-Pro 62.6% - Slide generation human evaluation (Z.ai) Only in system cards People compare HTML slide decks from two models on content, layout and visual quality. Metric is overall win rate. GLM-5 67.5%
- Task-dependent output homogenization evaluation Only in system cards Models answer prompts several times. A judge scores functional diversity where it is wanted and consistency where one answer is right.
Muse Spark 0.21