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

Input tokens
100,000
50% cached
Output tokens
5,000
per request
Volume
100 / monthly
Standard API

Calculator

Cost Comparison

Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.

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 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.

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Frequently asked questions

How does Muse Spark 1.1 differ from Meta's Llama models?
Muse Spark 1.1 is a hosted API model, whereas Meta's Llama line (Llama 4 Scout, Maverick) is open-weights - you can self-host or rent hardware to run them. Muse Spark is the choice when you want Meta reasoning quality without managing infrastructure.