Muse Spark Open
Q4 GGUF download: unsloth/Muse-Spark-Open-816B-A42B-GGUF - 0.01 GB on disk, read 2026-10-17. VRAM figures above are estimates; this is the actual file size.
Intelligence benchmarks
Artificial Analysis indexes - compared with the best open and proprietary models
Intelligence
38.9
AA Index
Intelligence Index - Muse Spark Open vs. the field
Best open-weight models (you can run locally) and leading proprietary models for context.
Benchmark data from Artificial Analysis · updated 2026-10-17.
Hosted API cost & speed
What it costs to rent this model instead of running it locally
| Metric | Value |
|---|---|
| Input (per 1M tokens) | $1.25 |
| Output (per 1M tokens) | $4.25 |
| Median speed (hosted API) | 131 tok/s |
Median across hosted providers, measured by Artificial Analysis - updated 2026-10-17. Local llama.cpp speed depends on your hardware — see the hardware pages for estimates.
Standard benchmarks
Performance across standard evaluations
| Benchmark | Score |
|---|---|
| GPQA Diamond | 89 |
| HLE | 43.9 |
| SciCode | 58.4 |
Source: Artificial Analysis component evals - updated 2026-10-17.
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
vllm serve meta-models/Muse-Spark-Open-816B-A42BNew to this? Start with Ollama · serve to many users with vLLM.
Deep dive
Notes, sources, and the full write-up
Muse Spark Open is a 822B-parameter other model from Meta. It scores 38.9 on the Artificial Analysis Intelligence Index. At Q4_K_M it needs roughly 477 GB of VRAM, placing it in the 48 GB+ / multi-GPU hardware tier.
Benchmarks
Artificial Analysis Intelligence Index - Muse Spark Open vs. leading closed models:
| Model | Intelligence | Coding | GPQA |
|---|---|---|---|
| Muse Spark Open | 38.9 | - | 89 |
| Claude Opus 5.5 | 57.6 | - | - |
| Claude Sonnet 5.5 | 56 | - | - |
| Muse Wonder Full | 55.8 | - | - |
| Claude Fable 5.1 | 53.4 | 81.6 | 93.7 |
| GPT-6 Astra | 52.7 | 76.9 | 96.1 |
Source: Artificial Analysis (2026-10-17).
Popularity
Muse Spark Open has 815 downloads in the last month on HuggingFace and 443 likes.
Frequently asked
Quick answers to common questions
How much VRAM does Muse Spark Open need?
Muse Spark Open with 822B parameters needs approximately 477 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is Muse Spark Open better than other meta-models models?
Muse Spark Open has 822B parameters with 8,192 context - a strong choice for general use.
What license is Muse Spark Open under?
Muse Spark Open is released under the other license, making it suitable for most commercial and personal projects.
What hardware runs Muse Spark Open well?
With 822B parameters, Muse Spark Open requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for Muse Spark Open?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~584 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with Muse Spark Open?
Muse Spark Open competes with other 411B–1233B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec