Overview
This week's model spotlight is EXAONE 4.0 32B. This model can be run at 8bit with <40GB of memory and packs a punch for agentic use cases. I've been very impressed by it.
Specs
EXAONE 4.0 32B is a lightweight agent that absolutely crushes. It's one of my all time favorite models because of it's balance of cost:performance. At 32B parameters it can run for <40GB at 8bit precision, making it incredibly affordable to self-host. On top of this it consistently crushes as a chat agent with reliable tool calling and task performance.
Strengths
EXAONE is trained specifically for agentic use cases. I use it for
- RAG chat agents
- lightweight coding
- codebase navigation
- codebase Q&A
- automation pipelines and data processing
Limitations
I love this model but don't get me wrong, it's tiny. It's context window is 128k tokens and while it handles larger contexts better than some MoE models I love I don't use it for bigger tasks. In something like an OpenClaw or Hermes Agent this model would struggle.
It's not an Apples to Apples comparison to Sonnet, but if you're using Sonnet for agentic coding or similar use cases those would be very heavy tasks for this model.
My Experiences
Codebase Q&A
I've been able to consistently use this model to navigate my codebase and answer Q&A type questions. It is very good at this type of task.
Agentic Assistant
I use this model in Meebly a LOT. It's affordable and works great for website sales and support agents.
Highlight Production Use Case: Web-search lead list builder
A company is using this model to search the web, research other companies, and build lead lists. It's an autonomous agentic task that requires processing a significant amount of web data. The model absolutely crushes for this and, as I said earlier, can run on a Mac Mini with ideally about 40GB of memory.
Final Thoughts
I'm super impressed with this model and can't recommend it enough. There are so many good use cases for this model, and it's been very capable + reliable, and to top it all of it's super affordable to run.