Muse Glimmer vs Other Models

How Meta's laptop-class model stacks up against the open-weight competition.

Full Comparison Table

Muse Glimmer vs Qwen3.6, DeepSeek V4 Flash, and Llama 4 across every dimension that matters for local AI.

Dimension Muse Glimmer Qwen3.6 DeepSeek V4 Flash Llama 4
Parameters 30B ~35B active (Qwen3.6) 13B active (V4 Flash) 70B+ (Llama 4)
Runs on 1 consumer GPU Yes (core design goal) Quantized only Yes (13B active) No (needs multi-GPU)
IFBench 77.0 70.8 N/A ~75
AIME 2026 94.7 94.1 N/A ~90
AMD optimized Yes (official partnership) Community only Community only Partial
License Meta open weight Apache 2.0 MIT Meta community
Best for Local-first agentic AI Broad ecosystem Cheap cloud API Maximum open-weight quality

Which Should You Choose?

G Pick Muse Glimmer when…

  • Privacy is non-negotiable — data must not leave your machine
  • You have a capable GPU and want zero per-token costs
  • You need offline or air-gapped inference
  • You run AMD hardware and want an officially supported path
  • You want agentic tool use optimized for local toolchains

? Pick others when…

  • Llama 4 — you need maximum open-weight capability and have a multi-GPU setup
  • Qwen3.6 — you want a broad ecosystem with Apache 2.0 and good multilingual support
  • DeepSeek V4 Flash — you need cheap cloud API throughput at $0.14/M tokens with no local hardware

Comparison FAQ

Should I use Muse Glimmer or DeepSeek V4 Flash?
Different tools. Muse Glimmer runs locally on your GPU for free. V4 Flash is a cloud API at $0.14/M tokens. Pick Muse Glimmer for privacy and zero ongoing cost; pick V4 Flash for maximum throughput and no hardware investment.
Is Muse Glimmer better than Llama 4?
Llama 4 is larger (70B+) and scores higher on general benchmarks, but needs multi-GPU setups. Muse Glimmer is designed for single-GPU local use — if running on your own hardware matters, Glimmer is the practical choice.
Why would I use Muse Glimmer instead of a cloud API?
Privacy (data never leaves your machine), cost (zero per-token charges after download), latency (no network round trip), and availability (works offline). The tradeoff: you need a decent GPU.

Convinced? See how to get it running.