$ 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.
Google DeepMindGemini 3.5 Flash-Lite
- context
- 1.0M
- weights
- closed
- $/M in
- $0.3
- $/M out
- $2.5
- context
- 1M
- weights
- open
- $/M in
- $1.25
- $/M out
- $4.25
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
| Attribute | Gemini 3.5 Flash-Lite | Muse Spark |
|---|---|---|
| Developer | Google DeepMind | Meta AI |
| Released | 2026-07-21 | 2026-04-08 |
| Context window | 1,048,576 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) |
| License | proprietary | proprietary (closed / API-only, not open-weights) |
| Availability | Gemini API, Google AI Studio, Vertex AI | Meta 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.