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$ diff kimi-k3 muse-spark

Kimi K3 vs Muse Spark

Moonshot AI and Meta AI, side by side. Every value below is the one recorded on the model’s own wiki page, with its citation — nothing is estimated.

What actually differs

Context window
Identical — both accept 1M tokens, so context length is not a reason to pick either.
Input price
Muse Spark at $1.25/M against $3/M — 2.4× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
Output price
Muse Spark at $4.25/M against $15/M — 3.5× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
Both publish weights — Kimi K3 under Modified MIT (commercial use permitted; weights publicly downloadable), Muse Spark under proprietary (closed / API-only, not open-weights). Check the licences rather than assuming they permit the same commercial use.
Recency
Kimi K3 shipped 99 days after Muse Spark (2026-07-16 vs 2026-04-08).

Full spec

AttributeKimi K3Muse Spark
DeveloperMoonshot AIMeta AI
Released2026-07-162026-04-08
Context window1M tokens1,000,000 tokens (1.1)
Pricing$0.30/M cache-hit input · $3.00/M cache-miss input · $15.00/M output$1.25/M input · $4.25/M output (Meta Model API, public preview)
LicenseModified MIT (commercial use permitted; weights publicly downloadable)proprietary (closed / API-only, not open-weights)
AvailabilityKimi Code, Kimi app, Kimi API; weights on Hugging Face (`moonshot-ai/kimi-k3`, released 2026-07-27)Meta Model API (public preview, US-based developers only)

Values come from Kimi K3 and Muse Spark, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing. How these pages are produced.

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