gpt-oss:20b is the best performing model on my spam filtering benchmarks (I wrote a despammer that uses an LLM).

These are the simplified results (total percentage of correctly classified E-mails on both spam and ham testing data):

gpt-oss:20b 95.6%

gemma3:27b-it-qat 94.3%

mistral-small3.2:24b-instruct-2506-q4_K_M 93.7%

mistral-small3.2:24b-instruct-2506-q8_0 92.5%

qwen3:32b-q4_K_M 89.2%

qwen3:30b-a3b-q4_K_M 87.9%

gemma3n:e4b-it-q4_K_M 84.9%

deepseek-r1:8b 75.2%

qwen3:30b-a3b-instruct-2507-q4_K_M 73.0%

I'm quite happy, because it's also smaller and faster than gemma3.