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Head-to-head comparison

Muse Spark 1.3 vs GPT-5.6 Sol

Muse Spark 1.3 (Meta) and GPT-5.6 Sol (OpenAI) 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 #5); and Muse Spark 1.3 is 2.4× cheaper per output token ($4.25/1M vs $10.00/1M).

Which should you choose?

Choose Muse Spark 1.3 if…

  • you want the stronger overall ModelCap Index position — #4 against #5 (81.7 vs 81.4 points).
  • API cost matters — $4.25/1M output tokens against $10.00/1M, about 2.4× cheaper.
  • your workload is prompt-heavy — input tokens cost $1.25/1M against $2.00/1M.
  • AA Intelligence Index is your yardstick — 62.1 against 60.9.
  • you want the more recently listed model — Muse Spark 1.3 was listed 2 September 2026, GPT-5.6 Sol 9 July 2026.

Choose GPT-5.6 Sol if…

  • you want provider choice — 3 listed API providers against 1.

Muse Spark 1.3 vs GPT-5.6 Sol: specs, pricing and context

Specification comparison of Muse Spark 1.3 and GPT-5.6 Sol
FieldMuse Spark 1.3MetaGPT-5.6 SolOpenAI
ModelCap Index position#4#5
Index score81.781.4
EvidenceMeasuredMeasured
Input price / 1M tokens$1.25$2.00
Output price / 1M tokens$4.25$10.00
Context window1M tokens1M tokens
Max output tokens944K128K
API providers listed13
Weight accessAPI onlyAPI only
Input modalitiesText, Image, Video, File, AudioFile, Image, Text
First listed2 September 20269 July 2026
PublisherMetaOpenAI

Evidence: 1 public benchmark observation across 1 board · 7 public benchmark observations across 7 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Muse Spark 1.3 vs GPT-5.6 Sol

Public benchmark boards where Muse Spark 1.3 or GPT-5.6 Sol has a published result
BoardMuse Spark 1.3GPT-5.6 SolLeads
Arena codingArena (LMArena)—15291521–1537X-HighOnly one result
LMArena AgentLMArena—9.8%8.2%–11.3%X-HighOnly one result
ARC-AGI-2ARC Prize Foundation—92.5%MaxOnly one result
ARC-AGI-3ARC Prize Foundation—7.8%MaxOnly one result
AA Intelligence IndexArtificial Analysis62.1intelligence-index60.9intelligence-indexMuse Spark 1.3
AA Terminal-Bench 2.1Artificial Analysis—88.0%terminal-bench-2.1Only one result
AA τ²-Bench TelecomArtificial Analysis—85.1%tau2-bench-telecomOnly one result
AA Humanity's Last ExamArtificial Analysis—49.5%humanitys-last-examOnly one result
Terminal-Bench 4.0Terminal-Bench (Laude Institute)—37.3%33.5%–41.1%Codex · MaxOnly one result
WildClawBench OpenClawWildClawBench—67.2Only 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 GPT-5.6 Sol: common questions

Is Muse Spark 1.3 better than GPT-5.6 Sol?

Muse Spark 1.3 ranks higher on the ModelCap Index as of 3 September 2026: #4 against #5. 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 GPT-5.6 Sol?

Muse Spark 1.3 is cheaper on output tokens: $4.25/1M against $10.00/1M. Input tokens are $1.25/1M for Muse Spark 1.3 and $2.00/1M for GPT-5.6 Sol. 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 GPT-5.6 Sol?

Both publish a 1M-token context window.

Which is better for coding, Muse Spark 1.3 or GPT-5.6 Sol?

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 GPT-5.6 Sol open-weight models?

Muse Spark 1.3: API only. GPT-5.6 Sol: API only. 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 GPT-5.6 Sol?

ModelCap currently lists 1 API provider for Muse Spark 1.3 and 3 for GPT-5.6 Sol, 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 GPT-5.6 Sol 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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