Made this from the Artificial Analysis model pages after Muse Spark Open and Beam got their scores last week. X axis is total parameters as AA lists them, log scale. Orange = released in October 2026. - Muse Spark Open (816B, 42B active) scores 39. Qwen3.8-Flash-Next (180B, 6B active) scores 40. - The Unsloth UD-Q4_K_XL GGUFs are about 506 GB for Muse Spark Open and 111 GB for Qwen3.8-Flash-Next. - Meta's recommended local setup for Muse Spark Open is two M5 Ultra Mac Studios with 512 GB each. - Qwen3.8 27B scores 34, above Beam (501B) at 30 and Nemotron 3.5 Bolt (74B) at 21. Unsloth lists 16 to 19 GB of memory for its 4-bit quants. - Highest on the chart is MiMo-V2.6-Pro (1T) at 46, then DeepSeek V4.1 Flash 1017 (552B) and GLM-5.3 (753B) at 45. The index is one aggregate number from AA's own eval runs. It says nothing about speed, long context, vision, or how a model does on your own tasks. Table with active params, licenses and links in the comments.   submitted by   /u/BTA_Labs [link]   [comments]