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Head-to-head comparison

Muse Spark 1.3 vs Qwen3.5 397B A17B

Muse Spark 1.3 (Meta) and Qwen3.5 397B A17B (Qwen) 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 #28); Qwen3.5 397B A17B is 1.2× cheaper per output token ($3.50/1M vs $4.25/1M); Muse Spark 1.3 offers the longer context window (1M vs 262K tokens); and Qwen3.5 397B A17B ships open weights.

Which should you choose?

Choose Muse Spark 1.3 if…

  • you want the stronger overall ModelCap Index position — #4 against #28 (81.7 vs 62.5 points).
  • you need the longer context window — 1M tokens against 262K.
  • AA Intelligence Index is your yardstick — 62.1 against 34.3.
  • you want the more recently listed model — Muse Spark 1.3 was listed 2 September 2026, Qwen3.5 397B A17B 16 February 2026.

Choose Qwen3.5 397B A17B if…

  • API cost matters — $3.50/1M output tokens against $4.25/1M, about 1.2× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.55/1M against $1.25/1M.
  • you want to self-host: Qwen3.5 397B A17B ships open weights while Muse Spark 1.3 is api only.
  • you want provider choice — 10 listed API providers against 1.

Muse Spark 1.3 vs Qwen3.5 397B A17B: specs, pricing and context

Specification comparison of Muse Spark 1.3 and Qwen3.5 397B A17B
FieldMuse Spark 1.3MetaQwen3.5 397B A17BQwen
ModelCap Index position#4#28
Index score81.762.5
EvidenceMeasuredMeasured
Input price / 1M tokens$1.25$0.55
Output price / 1M tokens$4.25$3.50
Context window1M tokens262K tokens
Max output tokens944K236K
API providers listed110
Weight accessAPI onlyOpen weights
Input modalitiesText, Image, Video, File, AudioText, Image, Video
First listed2 September 202616 February 2026
PublisherMetaQwen

Evidence: 1 public benchmark observation across 1 board · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Muse Spark 1.3 vs Qwen3.5 397B A17B

Public benchmark boards where Muse Spark 1.3 or Qwen3.5 397B A17B has a published result
BoardMuse Spark 1.3Qwen3.5 397B A17BLeads
Arena codingArena (LMArena)—14911486–1496Only one result
AA Intelligence IndexArtificial Analysis62.1intelligence-index34.3intelligence-indexMuse Spark 1.3
AA Terminal-Bench 2.1Artificial Analysis—51.3%terminal-bench-2.1Only one result
AA τ²-Bench TelecomArtificial Analysis—95.6%tau2-bench-telecomOnly one result
AA Humanity's Last ExamArtificial Analysis—29.0%humanitys-last-examOnly 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 Qwen3.5 397B A17B: common questions

Is Muse Spark 1.3 better than Qwen3.5 397B A17B?

Muse Spark 1.3 ranks higher on the ModelCap Index as of 3 September 2026: #4 against #28. 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 Qwen3.5 397B A17B?

Qwen3.5 397B A17B is cheaper on output tokens: $3.50/1M against $4.25/1M. Input tokens are $1.25/1M for Muse Spark 1.3 and $0.55/1M for Qwen3.5 397B A17B. 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 Qwen3.5 397B A17B?

Muse Spark 1.3 has the larger context window: 1M tokens against 262K.

Which is better for coding, Muse Spark 1.3 or Qwen3.5 397B A17B?

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 Qwen3.5 397B A17B open-weight models?

Muse Spark 1.3: API only. Qwen3.5 397B A17B: 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 Qwen3.5 397B A17B?

ModelCap currently lists 1 API provider for Muse Spark 1.3 and 10 for Qwen3.5 397B A17B, 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 Qwen3.5 397B A17B 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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