Griffin vs Muse Spark 1.3
Griffin from Safeguard and Muse Spark 1.3 from Meta, side by side. Every figure comes from the model registry. No markup on model usage: you pay the provider's list price.
| Attribute | Griffin |  Muse Spark 1.3 |
|---|---|---|
| Provider | Safeguard | Meta |
| Model id | safeguard/griffin | meta/muse-spark-1.3 |
| Status | Available via Safeguard | Available via Safeguard |
| Input / 1M tokens | $0.0001 | $1.25 |
| Output / 1M tokens | $0.0001 | $4.25 |
| Price notes | Standard tier (no training on your data). Cached input $0.15. No long-context premium. Contributor tier (muse-spark-1.3-contributor) is $0.10 / $0.20 in exchange for allowing training. Audio input not fully supported on 1.3. | |
| Context | 1.1M | 1.05M |
| Parameters | 750B | Not published |
| Max output | Not published | Not published |
| Modality | Text | Text and image |
| Weights | Safeguard | Closed |
| Zero data retention | Not stated | Not stated |
| Prompts go to | Safeguard, on its own infrastructure | Meta (Meta Model API) |
| Retention | Customer data is never used to train shared models. | Standard tier: prompts and completions not used to train Meta models, Contributor tier allows training in exchange for lower prices. No retention period published in the API docs |
| Region | The region your Safeguard workspace runs in | Not stated |
| Price checked | 2026-10-09 | 2026-10-08 |
Self-healing security runs on Safeguard.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.