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From what I can tell GLM wasn’t as heavily trained for ZCode based on public info, though they do recommend using it there.
On the other hand, in the original DeepSeek V4.1 technical report they stated a harness comparison where DeepSeek harness beat other commonly used harnesses by a considerable amount
In addition, third party tests showed an even more significant jump with the new DeepSeek V4.1 Flash checkpoint
xitter.cf/pawelhuryn/status/2111…
I assume DeepSeek Harness encourages more aggressive self verification, but haven’t confirmed
Turns out DeepSeek harness improves the score of DeepSeek V4.1 Flash by 2-3 points on average.
It also costs 80% more due to subagents and more output tokens.
New results:
DeepSeek V4.1 Flash 1017 + Claude Code harness:
- max, mean of 7: 39.1
- high, mean of 5: 36.4
- low, mean of 5: 34.4
DeepSeek V4.1 Flash 1017 + DeepSeek harness:
- max, mean of 7: 42.7
- high, mean of 5: 39.2
- low, mean of 5: 34.8
For comparison:
GPT-6 Astra, max: 45
Opus 5.5, max: 41.7
Muse Wonder Full 1.0, max: 42
It's a crazy model, and the only one catched cheating. All the results are available on the benchmark website.
Introducing: ✨ 𝓩𝓮𝓻𝓸 ✨
- 1 bit native bit
- Built with 𝕣𝕒𝕞
- 0 lines of code, 0 dependencies
- Nothing, less than one, round
