Meta Model API pricing
How Meta Model API charges, what to know before you commit, and what you'd pay at your usage — next to what the alternatives would cost for the same thing.
How it charges
Checked 2026-10-07 on dev.meta.ai ↗ · USD, list pricesIn short
Pay per token, no minimums: $1.25 / $4.25 per million input/output tokens on Muse Spark, or far less on a tier that lets Meta train on your data.
- Free plan
- Yes
- Side project
- $11/mo Muse Spark
- Growing
- $105/mo Muse Spark
- Scaling
- $2,100/mo Muse Spark
What the model leaves out
Standard-tier prices for muse-spark-1.3 (also 1.2 and 1.1); cached input is $0.15 per million and there is no long-context premium. The contributor tier is left out because it trades your data for the lower price.
Before you commit
- The contributor tier ($0.10 / $0.20 per million) is cheaper because Meta may use your prompts and outputs to train its models; the standard tier does not.
- Web search grounding costs $2.50 per 1,000 queries on top of tokens.
- Rate limits are per team: 3,000 requests and 4M tokens a minute on the standard tier, 100 requests a minute on the contributor tier.
| Plan | Monthly fee | Input tokens per month | Output tokens per month |
|---|---|---|---|
| Muse Spark | None | $1.25 per million tokens | $4.25 per million tokens |
What you'd pay
Muse Spark50 million tokens × $1.25 per million tokens + 10 million tokens × $4.25 per million tokens$105/mo
Cost as you grow
All LLM API pricing, compared →Which one fits your situation →