Pyyan / Compare / Muse Spark Open vs DeepSeek V4-Pro

Muse Spark Open vs DeepSeek V4-Pro

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Open-Weight Models · verified 20 Oct 2026

Muse Spark OpenMetacurrent
DeepSeek V4-ProDeepSeekcurrent
3 slots left
SpecificationMuse Spark OpenDeepSeek V4-Pro
SummaryThe largest American open weights, under a licence with a revenue trigger.Best all-round open model of 2026.
Context1M—
Input ($/Mtok)Weights only—
Output ($/Mtok)Weights only—
LicenceMuse Model LicenseMIT
Max outputNot published—
Parameters816B total, 42B active—
Released15 Oct 2026—
Model IDmeta-models/Muse-Spark-Open-816B-A42B—
CategoryOpen-Weight ModelsOpen-Weight Models
OfficialMeta ↗DeepSeek ↗

Highlighted rows are where these differ.

Muse Spark Open

  • Text, image, video and audio in, text out, with a 1M token context
  • Muse Model License, not open source: attribution required, and a separate agreement above $20m of model-service revenue
  • About 1.5TB in BF16, or two Mac Studios at 4-bit

Best for multimodal work you host yourself.

Full spec sheet →

DeepSeek V4-Pro

  • Tops open leaderboards on agentic coding and reasoning
  • MIT licence — no conditions
  • Pioneered aggressive cache-hit pricing at ~$0.07/M
  • DeepSeek routes all V4-Pro requests to V4.1 Flash from 14 September 2026

Best for everything open.

Full spec sheet →