$ diff gemini-3-8-flash muse-spark-1-3
Gemini 3.8 Flash vs Muse Spark 1.3
Values come from Gemini 3.8 Flash and Muse Spark 1.3, 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.
Google DeepMindGemini 3.8 Flash
- context
- 1.0M
- weights
- closed
- $/M in
- $0.75
- $/M out
- $3.75
- context
- 1M
- weights
- closed
- $/M in
- $1.25
- $/M out
- $4.25
What actually differs
- Context window
- Gemini 3.8 Flash takes 1.0M against 1M — modestly more room in a single request.
- Input price
- Gemini 3.8 Flash at $0.75/M against $1.25/M — 1.7× 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
- Gemini 3.8 Flash at $3.75/M against $4.25/M — 1.1× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Full spec
| Attribute | Gemini 3.8 Flash | Muse Spark 1.3 |
|---|---|---|
| Developer | Google DeepMind | Meta AI |
| Released | 2026-09-02 | 2026-09-02 |
| Context window | 1,048,576 tokens (65,536 max output) | 1,000,000 |
| Pricing | $0.75/M input · $3.75/M output (introductory, through 2026-12-31) · $1.50/M · $7.50/M from 2027-01-01 | Standard $1.25/M input · $4.25/M output · Contributor ≈$0.10/M input · ≈$0.20/M output |
| License | proprietary | proprietary |
| Availability | Gemini API, Google AI Studio, Antigravity, Android Studio, Gemini Enterprise / Gemini Enterprise Agent Platform | Muse Code, Meta Model API |