ai-trend-notifier

$ diff gemini-3-5-flash-lite muse-spark

Gemini 3.5 Flash-Lite vs Muse Spark

Google DeepMind 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
Gemini 3.5 Flash-Lite takes 1.0M against 1M — modestly more room in a single request.
Input price
Gemini 3.5 Flash-Lite at $0.3/M against $1.25/M — 4.2× cheaper to feed.
Output price
Gemini 3.5 Flash-Lite at $2.5/M against $4.25/M — 1.7× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
Muse Spark publishes weights (proprietary (closed / API-only, not open-weights)); Gemini 3.5 Flash-Lite is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
Gemini 3.5 Flash-Lite shipped 104 days after Muse Spark (2026-07-21 vs 2026-04-08).

Full spec

AttributeGemini 3.5 Flash-LiteMuse Spark
DeveloperGoogle DeepMindMeta AI
Released2026-07-212026-04-08
Context window1,048,576 tokens (1M)1,000,000 tokens (1.1)
Pricing$0.30/M input · $2.50/M output$1.25/M input · $4.25/M output (Meta Model API, public preview)
Licenseproprietaryproprietary (closed / API-only, not open-weights)
AvailabilityGemini API, Google AI Studio, Vertex AIMeta Model API (public preview, US-based developers only)

Values come from Gemini 3.5 Flash-Lite 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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