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Hacker News (AI) ·2d ago

Qwen 3.8 27B vs. Nemotron 3.5 vs. Muse Glimmer benchmarked on an RTX 5090

Read the original at kgptalkie.com→

Original headline: "Qwen 3.8 27B vs. Nemotron 3.5 vs. Muse Glimmer on an RTX 5090"

Coverage timeline

Muse Glimmer Qwen

Related stories

Qwen 3.8 27B shows strong performance but tends to overthink tasks, according to its self-reported benchmarks and related coverage.
Simon Willison · 17h ago · source ↗
Meta releases Muse Glimmer, an open-weight, local, agentic, multimodal AI model (30B) for always-on workflows.
Hugging Face · 7d ago · source ↗
Meta releases Glimmer Muse model, hinting at Mark Zuckerberg’s personal AI vision and the tensions over open vs. closed models.
TechCrunch AI · 6d ago · source ↗
Mimir: a 1.7B model claims to outperform Qwen 3.5 0.8B and Gemma 4 E2B on benchmarks (english and danish; builds on sapient’s hrm-text)
r/LocalLLaMA · 3h ago · source ↗
Qwen 3.8 27b—Acquarium panel failure; Q8_K_XL_unsloth
r/LocalLLaMA · 1d ago · source ↗