Post-Cutoff

MetaMuse familyCurrentReasoning modelReleased 15 Oct 2026

Muse Spark Open (816B-A42B)

Open-weight sibling of the hosted Muse Spark models; engines: SGLang, vLLM, TensorRT-LLM, Transformers, MLX, llama.cpp, Unsloth. </content> </invoke>

Model idmeta-models/Muse-Spark-Open-816B-A42B

Price$1.25 in, $4.25 out per 1M tokens

Checked15 October 2026

Knows up to January 2026

1,194events after its cutoff

42 historic, 257 major. 257 days of news.

It launched on 15 October 2026, already missing 1,175 of them.

Five things it has never heard of

How to call it

5 ways to use Muse Spark Open (816B-A42B), with the model id each provider expects.

Providers, model ids, endpoints and docs for Muse Spark Open (816B-A42B)
ProviderModel idEndpointDocs
Hugging Face (gated, manual approval) meta-models/Muse-Spark-Open-816B-A42B huggingface.co
OpenRouter meta/muse-spark-open openrouter.ai
Baseten, Fireworks AI, Groq, Modal, Nebius, Together AI (hosted APIs named by Meta) research.meta.ai
Amazon SageMaker AI, Google Cloud Model Garden, Microsoft Foundry (weights) research.meta.ai
Apple MLX (local, 2–4 M5 Ultra Mac Studios) machinelearning.apple.com
github.com

Pricing

Prices for Muse Spark Open (816B-A42B)
Input$1.25 per 1M tokens
Output$4.25 per 1M tokens

As published: “per 1M tokens (USD) on OpenRouter at launch”.

Source: openrouter.ai, checked 15 October 2026.

Specs

Input
Text and images
Output
Text
Context window
1,000,000 tokens
Max output
Not published
Open weights
Yes
Licence
muse-model-license (limited commercial terms)
Training cutoff
January 2026
Released
15 October 2026
Status
Current
Type
Reasoning model

What stands out

What its maker marketed at launch, and what people found later, each with its source.

  • Largest US open-weight model at release

    816B total / 42B active natively multimodal MoE with 1M context; Meta calls it ‘the most capable US open-weight model to date’ (own evaluation).

    Source: research.meta.ai

  • Frontier-scale model on desktop machines

    Runs in 4-bit NVFP4 (~493 GB) across two to four M5 Ultra Mac Studios linked by Thunderbolt 5 RDMA; about 25 tok/s on two and 37 tok/s on four (Apple ML Research).

    Source: machinelearning.apple.com

Four assistants, one scale

Muse Spark Open (816B-A42B) is added as a fifth row. Each row runs from what the model knows (graphite) through the months between its cutoff and its launch (hatched) to today (pink).

  1. GPT-6 Astra 261 at launch, 1,114 today
  2. Claude Opus 5.5 352 at launch, 1,049 today
  3. Gemini 4 Argon 1,039 at launch, 1,140 today
  4. Grok 4.7 365 at launch, 1,081 today
  5. Muse Spark Open (816B-A42B) 1,175 at launch, 1,194 today
Show as a table
ModelCutoffReleasedMissing at launchMissing today
GPT-6 AstraApril 20263 September 20262611,114
Claude Opus 5.5June 202622 September 20263521,049
Gemini 4 ArgonMarch 202613 October 20261,0391,140
Grok 4.7May 202621 September 20263651,081
Muse Spark Open (816B-A42B)January 202615 October 20261,1751,194

Notes

First Muse model with open weights. Knowledge cutoff inferred from the chat template default cutoff_date 2026-01-04 on Hugging Face (not stated in prose). Reasoning effort low/medium/high/xhigh (default xhigh). Benchmarks not yet independently reproduced.