$ diff muse-spark-1-3 minimax-m3
Muse Spark 1.3 vs MiniMax M3
Values come from Muse Spark 1.3 and MiniMax M3, 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
- $0.3
- $/M out
- $1.2
What actually differs
- Context window
- Identical — both accept 1M tokens, so context length is not a reason to pick either.
- Input price
- MiniMax M3 at $0.3/M against $1.25/M — 4.2× 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
- MiniMax M3 at $1.2/M against $4.25/M — 3.5× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Weights
- MiniMax M3 publishes weights (Open-weight (HuggingFace)); 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 93 days after MiniMax M3 (2026-09-02 vs 2026-06-01).
Full spec
| Attribute | Muse Spark 1.3 | MiniMax M3 |
|---|---|---|
| Developer | Meta AI | MiniMax |
| Released | 2026-09-02 | 2026-06-01 |
| Context window | 1,000,000 | 1,000,000 tokens (1M); min. 512K guaranteed |
| Pricing | Standard $1.25/M input · $4.25/M output · Contributor ≈$0.10/M input · ≈$0.20/M output | $0.30/M input · $1.20/M output ($0.06/M cached input) — OpenRouter catalogue, read 2026-07-28 |
| License | proprietary | Open-weight (HuggingFace) |
| Availability | Muse Code, Meta Model API | API (global, including English) + open-weight on HuggingFace |