Muse Spark 1.1 API Pricing & Cost Calculator
Muse Spark 1.1 marks Meta's move into hosted APIs. Its pricing lands in the mid-tier workhorse band - competitive with GLM-5.2 and Gemini Flash, with a decent 88% caching discount for repeating prompt workloads.
Muse Spark 1.1 is Meta's first frontier model offered via a hosted API rather than open weights, marking a strategic shift for the company. It sits in the mid-tier workhorse pricing band.
By TechCompare · Updated
Calculator
Cost Comparison
Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.Prices are fetched live from OpenRouter and may include temporary promotional discounts not accounted for in our article and comparison figures.
How this is calculated
Muse Spark 1.1 is priced at $1.25 per million input tokens and $4.25 per million output tokens, with an 88% prompt caching discount ($0.15 per million cached reads). That's competitive with GLM-5.2 ($1.40/$4.40) and cheaper than Gemini 3.6 Flash ($1.50/$7.50) on output.
Verdict
Muse Spark 1.1 lands at $1.25/M input and $4.25/M output, slightly cheaper than GLM-5.2 on both rows and decisively cheaper than Gemini 3.6 Flash on output ($4.25 vs $7.50). The 88% cache discount drops cached input to $0.15/M, faster than GLM's ~81% and within reach of Gemini 3.6 Flash's 90% cache rate. That puts Muse Spark 1.1 in the workhorse tier where it competes on per-token cost against both GLM-5.2 and Gemini Flash, with the cache discount doing the heavy lifting on stable-prompt loops. The use case: high-volume text pipelines where output cost dominates and where Meta's lineage matters for the workload.
More API Standalones scenarios
Related guides
Frequently asked questions
How does Muse Spark 1.1 differ from Meta's Llama models?
How much does Muse Spark 1.1 cost per million output tokens?
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