Muse Spark 1.2 Contributor API Pricing

Meta · released Aug 5, 2026 · 1.05M context · API model ID muse-spark-1.2-contributor

Muse Spark 1.2 Contributor by Meta API pricing: $0.10 per 1M input tokens and $0.20 per 1M output tokens (provider list price via models.dev, Oct 10, 2026).

Prices

Muse Spark 1.2 Contributor prices, USD per 1M tokens
PriceUSD per 1M tokens
Input$0.10
Output$0.20
Cache read$0.002
Cache writeNot published

Meta's list price for its own API, as compiled by models.dev and checked Oct 10, 2026, 09:00 UTC. Prices on cloud platforms and resellers can differ. Provider documentation

Estimated monthly cost

$60.00

per month

per day
$2.00
per request
$0.0002

Cost = input tokens × input price + output tokens × output price, 30 days a month. Cached input uses the cache read price. Cache write fees are not included.

Compare this workload across models

Monthly cost by workload

WorkloadPer month
Chatbot1,000 in / 500 out tokens, 10,000 requests a day$60.00/mo
RAG8,000 in / 500 out tokens, 5,000 requests a day$135.00/mo
Coding agent50,000 in / 2,000 out tokens, 1,000 requests a day, 80% cached input$44.40/mo

Context and capabilities

Context
1,048,576 tokens
Max output
131,072 tokens
Input
text, image, video, pdf, audio
Output
text
Knowledge cutoff
Not published
Open weights
No
Tool calling
Yes
Reasoning
Yes
Structured outputs
Yes

Capabilities and limits as listed by models.dev.

Similarly priced models

Price history

No price changes since we started tracking on Oct 8, 2026.

Questions

How much does Muse Spark 1.2 Contributor cost per month?
For a chatbot handling 10,000 requests a day with 1,000 input and 500 output tokens each, Muse Spark 1.2 Contributor costs about $60.00 per month at Meta's list prices ($0.10 per 1M input tokens, $0.20 per 1M output tokens).
Does Muse Spark 1.2 Contributor support prompt caching?
Yes. Cached input costs $0.002 per 1M tokens, compared with $0.10 for regular input.
How long is Muse Spark 1.2 Contributor's context window?
Muse Spark 1.2 Contributor accepts up to 1,048,576 tokens (1.05M) of context and returns up to 131,072 tokens per response.