Compare models
Pick two to four models. No markup on model usage: you pay the provider's list price.
| Attribute | ||
|---|---|---|
| Provider | Meta | |
| Model id | google/gemini-3.8-flash | meta/muse-spark-1.3 |
| Status | Available via Safeguard | Available via Safeguard |
| Input / 1M tokens | $0.75 | $1.25 |
| Output / 1M tokens | $3.75 | $4.25 |
| Price notes | Paid tier. $0.75 in / $3.75 out (output includes thinking tokens) through 2026-12-31, rises to $1.50 / $7.50 from 2027-01-01. | 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 | 1.05M | 1.05M |
| Parameters | Not published | Not published |
| Max output | 65,536 tokens | Not published |
| Modality | Text and image | Text and image |
| Weights | Closed | Closed |
| Zero data retention | Not offered | Not stated |
| Prompts go to | Google (Gemini Developer API) | Meta (Meta Model API) |
| Retention | Paid tier: prompts and responses not used to improve Google products, but logged for a limited period for abuse monitoring, free tier content may be used to improve products | 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 | No region guarantee, data may be stored transiently or cached in any country where Google operates. Google points ZDR and enterprise processing needs to Vertex AI (Gemini Enterprise Agent Platform) | Not stated |
| Price checked | 2026-10-10 | 2026-10-10 |
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