Meta's 816B Muse Spark Open scores 39 on Artificial Analysis, trailing 180B Qwen3.8-Flash-Next
·2026.10.23 05:14
Key point
The 816B parameter model scores 39, slightly below the 180B Qwen3.8-Flash-Next which achieves a score of 40.
Details
- Meta's 816B Muse Spark Open (42B active) scores 39 on Artificial Analysis, while the 180B Qwen3.8-Flash-Next (6B active) scores 40.
- Unsloth UD-Q4_K_XL GGUFs require approximately 506 GB for Muse Spark Open and 111 GB for Qwen3.8-Flash-Next.
- Meta recommends a local setup of two M5 Ultra Mac Studios with 512 GB each for Muse Spark Open.
- Qwen3.8 27B scores 34, outperforming Beam (501B) at 30 and Nemotron 3.5 Bolt (74B) at 21, with 4-bit quants requiring 16 to 19 GB of memory.
- MiMo-V2.6-Pro (1T) leads the chart with a score of 46, followed by DeepSeek V4.1 Flash 1017 (552B) and GLM-5.3 (753B) at 45.
- The Artificial Analysis index is a single aggregate number that does not reflect speed, long context, vision, or specific task performance.
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