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Head-to-head comparison

Muse Spark 1.3 vs Hy4 preview

Muse Spark 1.3 (Meta) and Hy4 preview (Tencent) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 3 September 2026

As of 3 September 2026, Muse Spark 1.3 holds the stronger ModelCap Index position (#4 vs #19); Hy4 preview is 1.7× cheaper per output token ($2.50/1M vs $4.25/1M); and Hy4 preview ships open weights.

Which should you choose?

Choose Muse Spark 1.3 if…

  • you want the stronger overall ModelCap Index position — #4 against #19 (81.7 vs 68.6 points).
  • you want the more recently listed model — Muse Spark 1.3 was listed 2 September 2026, Hy4 preview 28 August 2026.

Choose Hy4 preview if…

  • API cost matters — $2.50/1M output tokens against $4.25/1M, about 1.7× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.834/1M against $1.25/1M.
  • you want to self-host: Hy4 preview ships open weights while Muse Spark 1.3 is api only.

Muse Spark 1.3 vs Hy4 preview: specs, pricing and context

Specification comparison of Muse Spark 1.3 and Hy4 preview
FieldMuse Spark 1.3MetaHy4 previewTencent
ModelCap Index position#4#19
Index score81.768.6
EvidenceMeasuredEstimated
Input price / 1M tokens$1.25$0.834
Output price / 1M tokens$4.25$2.50
Context window1M tokens1M tokens
Max output tokens944K64K
API providers listed11
Weight accessAPI onlyOpen weights
Input modalitiesText, Image, Video, File, AudioText
First listed2 September 202628 August 2026
PublisherMetaTencent

Evidence: 1 public benchmark observation across 1 board · placed against measured peers on publisher-reported benchmarks, discounted for self-report optimism; floored directly above its measured family predecessor. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Muse Spark 1.3 vs Hy4 preview

Public benchmark boards where Muse Spark 1.3 or Hy4 preview has a published result
BoardMuse Spark 1.3Hy4 previewLeads
AA Intelligence IndexArtificial Analysis62.1intelligence-indexOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Muse Spark 1.3 vs Hy4 preview: common questions

Is Muse Spark 1.3 better than Hy4 preview?

Muse Spark 1.3 ranks higher on the ModelCap Index as of 3 September 2026: #4 against #19. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is Muse Spark 1.3 cheaper than Hy4 preview?

Hy4 preview is cheaper on output tokens: $2.50/1M against $4.25/1M. Input tokens are $1.25/1M for Muse Spark 1.3 and $0.834/1M for Hy4 preview. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Muse Spark 1.3 or Hy4 preview?

Both publish a 1M-token context window.

Which is better for coding, Muse Spark 1.3 or Hy4 preview?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Muse Spark 1.3 and Hy4 preview open-weight models?

Muse Spark 1.3: API only. Hy4 preview: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Muse Spark 1.3 and Hy4 preview?

ModelCap currently lists 1 API provider for Muse Spark 1.3 and 1 for Hy4 preview, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Muse Spark 1.3 vs Hy4 preview comparison?

Every figure comes from the sealed ModelCap dataset published 3 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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