$ diff fugu-max muse-spark-1-3
Fugu Max vs Muse Spark 1.3
Values come from Fugu Max 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.
Sakana AIFugu Max
- context
- 1M
- weights
- —
- $/M in
- $2
- $/M out
- $6
- context
- 1M
- weights
- closed
- $/M in
- $1.25
- $/M out
- $4.25
What actually differs
- Context window
- Identical — both accept 1M tokens, so context length is not a reason to pick either.
- Input price
- Muse Spark 1.3 at $1.25/M against $2/M — 1.6× 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 $6/M — 1.4× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Recency
- Fugu Max shipped 9 days after Muse Spark 1.3 (2026-09-11 vs 2026-09-02).
Full spec
| Attribute | Fugu Max | Muse Spark 1.3 |
|---|---|---|
| Developer | Sakana AI | Meta AI |
| Released | 2026-09-11 | 2026-09-02 |
| Context window | 1,000,000 | 1,000,000 |
| Pricing | $2/M input · $6/M output | Standard $1.25/M input · $4.25/M output · Contributor ≈$0.10/M input · ≈$0.20/M output |
| License | not recorded | proprietary |
| Availability | Sakana API (OpenAI-compatible), OpenRouter, NanoGPT, Kilo Gateway, LLM Gateway | Muse Code, Meta Model API |