@jiayuan_jy: A few objective clarifications: 1) This post has nothing to do with MiniMax (I never take sponsored posts). 2) 'Subjective feel' is not the same as actual performance; it's not quantitative data. After more extensive experience, overall coding ability is a qualitative improvement compared to m2.7. A current shortcoming is that 1-shot results compared with...

X AI KOLs Following Models

Summary

Jiayuan Zhang shared his initial experience with the M3 model's coding ability, stating that it is a qualitative improvement compared to m2.7, but the 1-shot results are not as comprehensive as Opus 4.6/4.7 and GPT5.5.

A few objective clarifications: 1) This post has nothing to do with MiniMax (I never take sponsored posts). 2) 'Subjective feel' is not the same as actual performance; it's not quantitative data. After more extensive experience, overall coding ability is a qualitative improvement over m2.7. A current shortcoming is that 1-shot results are not as comprehensive as Opus 4.6/4.7/gpt5.5, and there are cases where the consideration is not particularly thorough. https://t.co/Kd3stECxSM
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Cached at: 06/01/26, 05:32 PM

A few objective clarifications:

  1. This has nothing to do with MiniMax (I never take sponsored posts)
  2. “Feel” is not the same as actual benchmark — it’s not quantitative data

After extended use, the overall coding capability is a generational improvement over m2.7. The only shortcoming I’ve found so far is that 1-shot results aren’t as comprehensive as Opus 4.6/4.7/gpt5.5 — there are cases where not all aspects are fully considered. https://t.co/Kd3stECxSM

Jiayuan (JY) Zhang (@jiayuan_jy): Been testing all morning. First impression is it’s close to Opus 4.7 (needs more testing).

Using M3 to write code, then Opus 4.8 + GPT5.5 for adversarial code review — works quite well.

One PR already completed.

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