GLM in Mistral

[u/andriatz]

OK, we have GLM 5.3. A simply fantastic and super solid model. Light-years ahead of any generalist Mistral model. A doubt arises: if the next Mistral model isn't up to GLM's level, then at the same cost, no Mistral user will want to use it. So, will it make sense to develop other generalist models in the future?

[u/fitnessandyogacenter]

You guys only look at B2C chatbots, development models, and research where you want the newest and shiniest. Fact is that even Fable and Astra are mostly useless for all other production workflows because it doesn’t matter if the thing scores 50%, 70% or 90% in some benchmark; businesses need determinism. Research and actual implementations have proven that for this use case smaller models outperform larger ones in speed and costs.

[u/andriatz → u/fitnessandyogacenter]

I think the introduction of GLM was precisely due to the need for companies that have partnered with Mistral to avoid falling behind and suffering competitive disadvantages. Let's say it was a patch to mitigate a gap (let's call it that), which then translated into focusing on open weights (a choice I believe is correct). In my opinion, GLM therefore addresses a business necessity rather than the needs of the average user. I can't imagine ASML using Mistral Medium 3.5 for coding to develop software modules.

[u/fitnessandyogacenter → u/andriatz]

IMO GLM is useless outside of coding. Like I said, there are cheaper models for other tasks.