$ diff muse-spark-1-2 gemini-3-6-flash
Muse Spark 1.2 vs Gemini 3.6 Flash
Values come from Muse Spark 1.2 and Gemini 3.6 Flash, 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.
Meta AIMuse Spark 1.2
- context
- 1M
- weights
- —
- $/M in
- $1.25
- $/M out
- $4.25
- context
- 1.0M
- weights
- closed
- $/M in
- $1.5
- $/M out
- $7.5
What actually differs
- Context window
- Gemini 3.6 Flash takes 1.0M against 1M — modestly more room in a single request.
- Input price
- Muse Spark 1.2 at $1.25/M against $1.5/M — 1.2× 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 1.2 at $4.25/M against $7.5/M — 1.8× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Recency
- Muse Spark 1.2 shipped 15 days after Gemini 3.6 Flash (2026-08-05 vs 2026-07-21).
Full spec
| Attribute | Muse Spark 1.2 | Gemini 3.6 Flash |
|---|---|---|
| Developer | Meta AI | Google DeepMind |
| Released | 2026-08-05 | 2026-07-21 |
| Context window | 1,000,000 | 1,048,576 tokens (1M) |
| Pricing | $1.25/M input · $4.25/M output · $0.15/M cached input | $1.50/M input · $7.50/M output |
| License | not recorded | proprietary |
| Availability | Muse Code (beta, macOS + Linux), Meta Model API | Gemini API, Google AI Studio, Android Studio, Vertex AI, consumer Gemini app, Google Search, GitHub Copilot |