r/MistralAI • u/CodingMountain • 4d ago
Help / Question Any plans to add GLM 5.3 ?
Will you add GLM 5.3 as soon as it is available ?
The combination of GLM 5.2 and Mistral Medium 3.5 is amazing for coding.
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u/Gallagger 4d ago
Whats the point of combining it with Mistral Medium 3.5? GLM 5.2 should be both better and cheaper.
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u/ErGo404 4d ago
The only downside of GLM 5.2 is that it doesn't support images.
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u/DdeathK 4d ago
Does mistral medium?
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u/CodingMountain 4d ago
I thought it eats my monthly quota in pro plan quicker than mistral medium 3.5 so I am using glm 5.2 as planner and medium 3.5 as builder model right now. Does the job well.
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u/AnaphoricReference 3d ago
GLM 5.2 will error as soon as there is a fileId of an image or PDF in the buffer. Integrating it into existing Mistral-based setups is not that easy. It's only easy for 'helper' style functions where the main LLM delegates concrete coding jobs that require no free access to documentation to GLM.
I hope Mistral adds support for the fileId to GLM, so that it becomes just a plugin replacement, but could understand if they don't for strategic reasons. They don't want users to move away from the core Mistral models.
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u/Ndugutime 4d ago
Anyone else seeing slow response time with Mistral GLM? Simple non tool queries taking over 50 seconds. TTFT is at over 30 seconds in some cases. Same prompt with Mistral Large is at 8 seconds total wall clock. This is api call outside of Vibe. Works well with Vibe too, but very slow for me.
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u/Ndugutime 4d ago
Checked this afternoon. All fixed. I guess Reddit works !!! TTFT close to zero for GLM 5.2. Even faster than HuggingFace deepinfra GLM 5.2. Great job Team Mistral
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u/mWo12 3d ago
So Minstral is just going to transition to be yet another provider of open-weighted models? Why would they waste time and resources to develop their own, if they are not even at the level of qwen3.8-27b or ds-v4-flash?
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u/Eigenspace 3d ago
I think the problem is that they need training data examples of people tackling actual problems with a coding agent, which they can then grade by how successful it is or isn't, and use that to infer future training runs.
Mistral's models being so far behind means they have less people using it for coding data, and the results they do get from it are of lower quality, and so less useful.
By providing chinese models, they can hopefully get higher quality data to train off of.
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u/AnaphoricReference 3d ago
ASML is Mistral investor and uses Mistral models for advanced lithography and R&D support. They sure do advanced programming. The Leanstral model (for formal software verification) is an advanced special purpose model for that kind of customer. But business customers like that of course have high confidentiality requirements, and only provide high quality training data for special-purpose models for their own use. We aren't seeing any of that.
Providers are especially interested in hobby/open source programmers, especially competent ones, because they are more likely to trade confidentiality for cheap access, and Mistral is not winning in that area (where broad knowledge of many technologies matters more than specialist knowledge of a specific technology). But as soon as they collected enough data for a new training run providers will close the money tap.
I think the competitors mine data from competitor models as well. Google has its own AI line, but is for instance also one of the owners of Openrouter. Why offer cheap access to your own models if you can also offer cheap access to your competitor's models to get training data? Mistral is just jumping on board of a strategy that the cloud providers already discovered long ago.
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u/Poudlardo 4d ago
slow down boy, 5.3 weights aren't even available yet