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Meta: Muse Spark Open API Pricing

Meta: Muse Spark Open costs $1.25 per 1M input tokens and $4.25 per 1M output tokens (cache reads: $0.150). Context window: 1.0M. Prices verified 2026-10-21 · source

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Alternatives to consider

🏠 Same provider
Meta: Muse Spark 1.3 Contributor
$0.100 in / $0.200 out

Cheapest meta model — 94% less per month

Price history
2026-10-16 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
3K
HF downloads
617
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$1.25
Output / 1M tokens
$4.25
Context window
1.0M
Max output
944K

Token economics

Token typePricevs base input
Standard input$1.25—
Cache read$0.150−88%
Output$4.25—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Always on (mandatory)
Effort levels:xhighhighmediumlow

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would Meta: Muse Spark Open cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$27.00
Coding agent5,0008,000 / 2,000$92.50
RAG pipeline30,0004,000 / 500$213.75
Doc summarizer2,00020,000 / 1,000$58.50

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Meta: Muse Spark Open

Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...

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Frequently asked questions

How much does Meta: Muse Spark Open cost?

Meta: Muse Spark Open costs $1.25 per 1M input tokens and $4.25 per 1M output tokens; cached input tokens cost $0.150 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

1.0M tokens, with up to 944K output tokens per response. That's roughly 1311 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.150/1M, about 88% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 99% on a typical workload with comparable quality.

Official resources