Muse Spark Open
The most capable US open weights model to date
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Meta's open weights model built for coding and agentic work. 816B total parameters with 42B active, a 1M token context window and native multimodal input. Download the weights on Hugging Face or run it on two M5 Ultra Mac Studios with MLX.
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PH · launched Oct 16, 2026 · 85 upvotes (top 2%)
- Horizontal
- Model & infra
- Developer
- AI-native
- Commercial product
- Open Source
- Developer Tools
Similar launches
See all 56 similar launches →Could you build this?
No Training an 816-billion parameter Mixture-of-Experts foundation model requires tens of millions of dollars in compute, specialized GPU clusters, and cutting-edge frontier AI research.
What it would actually take: Building an 800B+ MoE model requires a cluster of thousands of H100/B200 GPUs interconnected via high-bandwidth InfiniBand, petabytes of curated pretraining data, and distributed training frameworks like Megatron-LM or DeepSpeed. It requires deep research expertise in distributed parallelism (tensor, pipeline, expert parallel), custom kernel optimization, and substantial capital.
Competitors
Other products that read as similar to this one : 56 launches clear the similarity bar, closest 8 shown.
Attention rank: #7 of 57 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 268 days after the earliest competitor.
- 816B-Parameter AI from Your Laptop · ph · 2026-10-23 · 1 upvotes · similarity 0.47
- Muse Spark Code · ph · 2026-10-07 · 2 upvotes · similarity 0.47
- Inkling · ph · 2026-07-20 · 181 upvotes · similarity 0.46
- Muse Wonder · ph · 2026-10-13 · 242 upvotes · similarity 0.42
- Beam · ph · 2026-10-19 · 125 upvotes · similarity 0.41
- Muse Wonder · ph · 2026-10-13 · 8 upvotes · similarity 0.40
- open-alternative-jev · github · 2026-09-18 · 50 upvotes · similarity 0.40
- Timber · hn · 2026-03-02 · 207 upvotes · similarity 0.40
Other launches for this product
- No other launches for this product.