Muse Spark 1.2 Contributor API pricing
2 providers serve Muse Spark 1.2 Contributor. Muse Spark 1.2 Contributor is a proprietary API model, up to 1049K context. Prices below are per 1M tokens, cheapest input first.
Refreshed 2026-08-23 · list prices from provider APIsAbout Muse Spark 1.2 Contributor
Muse Spark 1.2 Contributor was listed on the marketplace 2026-08-21 by Meta. It is a text+image+file+audio+video → text model with a 1049K-token context window.
| Provider | Input $/1M | Output $/1M | Cache read $/1M | Context | |
|---|---|---|---|---|---|
| Meta | $0.100 | $0.200output floor | $0.0020 | 1049K | |
| OpenRouter marketplace quote | $0.100 | $0.200 | $0.0020 | 1049K | Use |
Price since listing
First tracked input floor: $0.100/1M on 2026-08-16. Latest: $0.100/1M on 2026-08-23 (8 days tracked).
The cheapest way to run Muse Spark 1.2 Contributor
On an illustrative 70M-input / 30M-output monthly workload, today's lowest listed cost is roughly $13.00/month — the same at Meta and OpenRouter. Input-heavy, output-heavy and cache-heavy workloads can produce different winners. Use the live mix calculator below rather than combining floors from two different providers. It is API-only, so the table above is your full set of options. Run your own numbers in the breakeven calculator, or read the breakeven math.
Your actual monthly cost
Cache read uses the listed cache rate where available; otherwise it falls back to normal input price. Batch, write-cache, volume and negotiated discounts are excluded.
Related models
| Model | Cheapest in $/1M | Cheapest out $/1M | Providers |
|---|---|---|---|
| Muse Spark 1.1 | $1.25 | $4.25 | 2 |
| Muse Spark 1.2 | $1.25 | $4.25 | 2 |
| Muse Glimmer 30B | $0.350 | $1.50 | 2 |
FAQ
What is the cheapest API for Muse Spark 1.2 Contributor?
As of 2026-08-23, the lowest input price for Muse Spark 1.2 Contributor, $0.100 per 1M tokens, is the same list price at Meta and OpenRouter. The lowest output price, $0.200 per 1M tokens, is likewise shared by the same providers. The cheapest provider for a real workload depends on its input/output mix.
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