Sorry if it’s not the best place to ask this, of the models in the image, which is the best for (problem solving)/Coding and the best one for studying (ask LLM concepts) ? My PC build is RX 9060 XT 16GB + I3 12100F + 16 GB DDR4 + llama.cpp with Vulkan backend + Linux Mint.

Sorry if it's not the best place to ask this, of the models in the image, which is the best for (problem solving)/Coding and the best one for studying (ask LLM concepts) ? My PC build is RX 9060 XT 16GB + I3 12100F + 16 GB DDR4 + llama.cpp with Vulkan backend + Linux Mint.

I gave some math problems to Qwen 3.5 27B and Qwen 3.6 27B and they got all of them right, pretty smart models I would say, but very slow and electricity consuming, they took like 5 mins with my GPU at 120 W to solve a problem.

The MoE models answer quite fast but their answers feel generic, I wouldn't use them for problem solving, but to study or to learn something new, they can work as a Wikipedia if i'm without Internet.

Of those, the one that I most used is Qwen3-Coder-30B, I really like this one, but it's an old model.

In the beggining of the year I also used a lot of GPT-OSS 20B.

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