$ diff muse-spark-1-3 hy4-preview
Muse Spark 1.3 vs Hy4 preview
Values come from Muse Spark 1.3 and Hy4 preview, 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 1.3
- context
- 1M
- weights
- closed
- $/M in
- $1.25
- $/M out
- $4.25
- context
- 1M
- weights
- open
- $/M in
- $0.834
- $/M out
- $2.501
What actually differs
- Context window
- Identical — both accept 1M tokens, so context length is not a reason to pick either.
- Input price
- Hy4 preview at $0.834/M against $1.25/M — 1.5× 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
- Hy4 preview at $2.501/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
- Hy4 preview publishes weights (Apache-2.0); Muse Spark 1.3 is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
- Recency
- Muse Spark 1.3 shipped 5 days after Hy4 preview (2026-09-02 vs 2026-08-28).
Full spec
| Attribute | Muse Spark 1.3 | Hy4 preview |
|---|---|---|
| Developer | Meta AI | Tencent |
| Released | 2026-09-02 | 2026-08-28 |
| Context window | 1,000,000 | over 1,000,000 |
| Pricing | Standard $1.25/M input · $4.25/M output · Contributor ≈$0.10/M input · ≈$0.20/M output | $0.834/M input · $2.501/M output |
| License | proprietary | Apache-2.0 |
| Availability | Muse Code, Meta Model API | Hugging Face (BF16 + FP8), ModelScope, GitCode, CNB, Tencent Cloud TokenHub, OpenRouter, WorkBuddy, CodeBuddy, Yuanbao, ima |