$ diff astra muse-spark-1-3
Astra vs Muse Spark 1.3
Values come from Astra 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.
OpenAIAstra
- context
- 1.1M
- weights
- closed
- $/M in
- $10
- $/M out
- $50
- context
- 1M
- weights
- closed
- $/M in
- $1.25
- $/M out
- $4.25
What actually differs
- Context window
- Astra takes 1.1M against 1M — modestly more room in a single request.
- Input price
- Muse Spark 1.3 at $1.25/M against $10/M — 8.0× 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 1.3 at $4.25/M against $50/M — 11.8× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Recency
- Astra shipped 1 day after Muse Spark 1.3 (2026-09-03 vs 2026-09-02).
Full spec
| Attribute | Astra | Muse Spark 1.3 |
|---|---|---|
| Developer | OpenAI | Meta AI |
| Released | 2026-09-03 | 2026-09-02 |
| Context window | 1,050,000 tokens (128,000 max output) | 1,000,000 |
| Pricing | $10/M input · $50/M output | Standard $1.25/M input · $4.25/M output · Contributor ≈$0.10/M input · ≈$0.20/M output |
| License | proprietary | proprietary |
| Availability | ChatGPT Plus, Pro, Business, Enterprise · OpenAI API · AWS — staged, see below | Muse Code, Meta Model API |