BenchLeader

Muse Spark Open vs Muse Wonder Full

As of 18 Oct 2026, Muse Wonder Full (max) is the better pick for most workloads: it leads on quality (68.6 vs 61.2 on the BenchLeader Index).

Key differences

  • Muse Wonder Full (max) leads on quality: 68.6 vs 61.2.
  • Muse Spark Open (xhigh) is stronger in knowledge, multimodal.
  • Muse Wonder Full (max) is stronger in composite, long context, reasoning, coding.

Choose Muse Spark Open (xhigh) if

  • knowledge is the priority (73 vs 71 on the category score)
  • you want to run it yourself: its weights are open

Choose Muse Wonder Full (max) if

  • reasoning is the priority (95 vs 66 on the category score)
  • long context is the priority (67 vs 64 on the category score)

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

CategoryMuse Spark Open (xhigh)Muse Wonder Full (max)Leader
Reasoning65.595.0Muse Wonder Full
Coding–64.0not comparable
Knowledge72.571.3Muse Spark Open
Multimodal64.1–not comparable
Long context64.267.0Muse Wonder Full
Composite73.192.2Muse Wonder Full

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.

MeasureMuse Spark Open (xhigh)Muse Wonder Full (max)
Blended price per 1M tokens$2.00–
Input / output per 1M$1.25 / $4.25– / –
Price per task: chat reply$0.0018–
Price per task: summarise a 30-page report$0.018–
Price per task: code edit$0.014–
Price per task: agentic coding session$0.092–
Price per task: structured extraction$0.0034–
Cost to run a full benchmark suite$0.844–
Output speed140 tok/s–
Time to first answer15.0 s–
Time to a complete answer18.6 s–

Every benchmark

MetricMuse Spark Open (xhigh)Muse Wonder Full (max)
BenchLeader Index61.268.6
Composite score73.192.2
Knowledge score72.571.3
Long context score64.267.0
Multimodal score64.1–
Reasoning score65.595.0
Coding score–64.0
Blended price $/M$2.00–
Output speed140 tok/s–
Time to first answer15.0 s–
Context window1.0M1M
AA Intelligence Index v4.3.238.955.8
AA-LCR78.3%83.7%
MMMU-Pro80.9%–
AA-Omniscience24.630.1
GPQA Diamond (AA)89.0%–
Humanity's Last Exam (AA)43.9%53.6%
SciCode (AA)58.5%62.6%
IOI–79.8%
LegalBench–87.4%
Vals Index46.664.6
CritPt14.9%32.9%
GDPval-AA v2.145.1%67.8%
BioMysteryBench–73.3%
Code Migration21.2%61.0%
CyberBench–73.6%
Excel Modeling Benchmark53.7%71.9%
Finance Agent v261.3%59.1%
Harvey's Legal Agent Benchmark16.7%21.7%
Legal Research Bench38.5%53.4%
MedCode–49.9%
MedScribe–89.3%
MysteryMechanism–35.1%
ProgramBench–0.5%
Public Benefits Bench–73.8%
SREBench–11.8%
Tax Agent Bench26.3%43.0%
Terminal-Bench 4.0 (Vals)6.6%58.1%
Terminal-Bench Science–37.1%
Vibe Code Bench 1-100–34.0%
Vibe Code Bench v1.176.2%86.0%
Terminal-Bench 4.0 (AA)8.1%57.1%
Terminal-Bench 2.1 (AA)76.4%–
AutomationBench49.7%71.3%
GDP.pdf18.6%32.6%
Harvey LAB-AA v1.1–13.1%
AA-Omniscience: accuracy39.3%43.2%
AA-Omniscience: non-hallucination75.9%77.0%
AA-Briefcase v1.112791729
AA Openness Index27.8–

Data as of 2026-10-18. Best configuration of each model; every score links to its source on the model pages.

Muse Spark Open vs Muse Wonder Full: questions

Is Muse Spark Open better than Muse Wonder Full?
Muse Wonder Full (max) leads on quality: 68.6 vs 61.2. The BenchLeader Index combines every independent quality benchmark; Muse Wonder Full (max) is ahead overall as of 2026-10-18, but check the category scores for your use.
Which has the larger context window?
Muse Spark Open accepts more context: 1.0M against 1M tokens.