anyone getting better results with smaller models?

<!-- SC_OFF --><div class="md"><p>Long time Claude Opus user, but after the recent session limit changes by Anthropic, I am seriously considering trying Chinese models for coding.

<!-- SC_OFF --><div class="md"><p>Hi. What do you think is the smallest Open model, as of Spring 2026, that can match/beat OpenAI GPT 4o Mini in the broadest sense possible?</p>

<!-- SC_OFF --><div class="md"><p>Question: can i do the thinking with a smaller model, like Gemma 4 4B, then use that as the prompt for Gemma 4 31B, to speed things up?</p>

<!-- SC_OFF --><div class="md"><p>I need SOTA ai at like 2k TPS with tiny latency so that I can get time to first answer token under 3 seconds for real time replies with full COT

<!-- SC_OFF --><div class="md"><p>Tomorrow, I am getting delivery of a 13&quot; M5 macbook air with 32gb RAM and 1T SSD. Currently, I have pro subscriptions to Gemini, Perplexity

<!-- SC_OFF --><div class="md"><p>Basically title. All labs seem to have agreed 24-27b is the minimum size they will go, nothing below that. I wonder when will we get the next sub

<!-- SC_OFF --><div class="md"><p>What models do you think are best for UI/design? I saw that GLM5.1 was quite capable, Opus and Sonnet as well, but are there any smaller models

<!-- SC_OFF --><div class="md"><p>Has anyone else run into major issues with MiMo-V2.5 (the 310B total / 15B active MoE model from Xiaomi)?</p> <p>I tried the UD-Q4_K_XL quant