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Muse Spark 1.1 API Pricing & Cost Calculator

By TechCompare · Updated · How we check

Muse Spark 1.1 is Meta's move into hosted APIs. Its pricing lands above Gemini Flash and below GLM-5.2, with 88% off cached input for repeating prompt workloads.

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Cost Comparison

Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.Prices come live from OpenRouter at each maker's own price where it's listed. Temporary deals are left out.

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Muse Spark 1.1 is Meta's first model offered through a hosted API rather than open weights. It's priced above Gemini 3.6 Flash and below GLM-5.2 on both rows.

Meta: Muse Spark 1.1

Meta's own price

Input
$1.25
Output
$4.25
Cached
$0.15

per 1M tokens

Price checked 2026-11-12

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 a prompt caching discount of 88% ($0.15 per million cached reads). That's below GLM-5.2 ($1.40/$4.40) and above Gemini 3.6 Flash ($0.75/$3.75) on both rows.

Verdict

Choose Muse Spark 1.1 for high-volume text pipelines where output cost dominates and you want Meta's model. It lands at $1.25/M input and $4.25/M output, cheaper than GLM-5.2 on both rows, and pricier than Gemini 3.6 Flash on both ($1.25/$4.25 vs $0.75/$3.75). The 88% cache discount drops cached input to $0.15/M, against GLM-5.2's $0.26/M (81% off) and Gemini 3.6 Flash's $0.075/M (90% off).

More API Standalones scenarios

Muse Wonder vs Claude Opus 5.5
Compare cache reads, batch availability, and the input types each model accepts.
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Muse Spark Open Pricing
What Muse Spark Open costs per request and per month, with prompt caching.
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Muse Wonder Pricing
What Muse Wonder costs per request and per month, with prompt caching.
View details

Related guides

Prompt optimization
Cutting tokens is the cheapest way to cut cost.
View guide
Token cost calculator
How per-token counts turn into API costs.
View guide

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.
How much does Muse Spark 1.1 cost per million output tokens?
Muse Spark 1.1 charges $4.25 per million output tokens at standard pricing, with input at $1.25 per million and cached input at $0.15 per million after the 88% prompt caching discount. Prices can change, so check the provider page for the latest rates.

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