Muse Spark 1.3 vs Muse Wonder pricing
Side-by-side LLM API pricing.Muse Spark 1.3 is cheaper on input ($1.25 vs $4.00 /1M), and Muse Spark 1.3 is cheaper on output ($4.25 vs $20.00 /1M). On a blended average, Muse Spark 1.3 is lower — but which wins for you depends on your input/output mix, so check the example workloads below or run the calculator.
| Attribute | Muse Spark 1.3 | Muse Wonder |
|---|---|---|
| Provider | Meta | Meta |
| Tier | Flagship | Flagship |
| Status | GA | Preview |
| Context window | 1.05M | 1.05M |
| Input /1M | $1.25 | $4.00 |
| Output /1M | $4.25 | $20.00 |
| Cached input /1M | $0.15 | $0.20 |
| Batch input /1M | — | — |
| Batch output /1M | — | — |
| Blended (avg in+out) | $2.75 | $12.00 |
| 1M in + 1M out | $5.50 | $24.00 |
| 1M in (90% cached) + 100K out | $0.6850 | $2.58 |
List prices, USD, directional. Rates are provider list prices per 1M tokens and are meant for comparison, not billing. Batch rates shown as 50% off are derived where a provider offers batch but does not publish a separate figure. Preview, promo, intro, peak/off-peak, long-context, and third-party-host prices are labeled where they apply. Token counts vary by tokenizer, so per-token price is not always a like-for-like cost. Always confirm with the provider before relying on a number. Prices as of 2026-11-02.
Which should you pick?
For a balanced job (1M input + 1M output), Muse Spark 1.3 costs $5.50 versus $24.00. If your prompts are large and reused, prompt caching changes the maths — the cache-heavy row above shows a 90%-cached input scenario. If your work can run asynchronously, both providers' batch rates cut the bill further where offered.
Full price matrices: Muse Spark 1.3 pricing → · Muse Wonder pricing → · Back to the LLM pricing hub →