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Model comparison

GPT-5.6 Sol vs Muse Spark

Data verified

Head-to-head evidence from 24 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

81.96/100
Margin
10.9pts
← winning
71.04/100
4 category wins1 category wins

Public leaderboard positions: GPT-5.6 Sol #3 (Supported); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.6 Sol and Muse Spark share 24 comparable benchmark results. 5 of 8 categories are comparable. 22 results are unique to GPT-5.6 Sol; 15 to Muse Spark.

Updated July 23, 2026
Shared results
24
GPT-5.6 Sol only
22
Muse Spark only
15
Comparable categories
5 / 8

Pick GPT-5.6 Sol if you want the stronger benchmark profile. Muse Spark only becomes the better choice if coding is the priority.

Confidence note. This is a partial-evidence comparison with 24 shared benchmark results across 7 evidence categories; 5 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.6 Sol is clearly ahead on the BenchAlign aggregate, 81.96 to 71.04. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.6 Sol's sharpest advantage is in mathematics, where it averages 87.5 against 32.9. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 83.000% to 14.600%. Muse Spark does hit back in coding, so the answer changes if that is the part of the workload you care about most.

GPT-5.6 Sol gives you the larger context window at 1M, compared with 262K for Muse Spark.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for GPT-5.6 Sol and Muse Spark
CategoryGPT-5.6 SolΔMuse Spark
MathGPT-5.6 Sol87.5Margin← 54.6Muse Spark32.9
KnowledgeGPT-5.6 Sol94.6Margin← 44.2Muse Spark50.4
AgenticGPT-5.6 Sol92.0Margin← 33.0Muse Spark59.0
CodingGPT-5.6 Sol64.6Margin→ 3.2Muse Spark67.8
MultimodalGPT-5.6 Sol83.0Margin← 0.5Muse Spark82.5
ReasoningGPT-5.6 SolNot measuredMarginNo overlapMuse Spark42.5

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · GPT-5.6 SolB · Muse Spark

  1. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 83.000%B 14.600%
    Winner: GPT-5.6 SolΔ 68.4
    FrontierMath v2 (Tier 4): GPT-5.6 Sol scored 83.000%; Muse Spark scored 14.600%. GPT-5.6 Sol wins this benchmark.

  2. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 89.000%B 39.000%
    Winner: GPT-5.6 SolΔ 50
    FrontierMath v2 (Tiers 1-3): GPT-5.6 Sol scored 89.000%; Muse Spark scored 39.000%. GPT-5.6 Sol wins this benchmark.

  3. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 91.9%B 59%
    Winner: GPT-5.6 SolΔ 32.9
    Terminal-Bench 2.0: GPT-5.6 Sol scored 91.9%; Muse Spark scored 59%. GPT-5.6 Sol wins this benchmark.

  4. SWE-bench Pro

    Coding
    Source ↗
    A 64.6%B 52.4%
    Winner: GPT-5.6 SolΔ 12.2
    SWE-bench Pro: GPT-5.6 Sol scored 64.6%; Muse Spark scored 52.4%. GPT-5.6 Sol wins this benchmark.

  5. MMMU-Pro

    Multimodal
    Source ↗
    A 83%B 80.4%
    Winner: GPT-5.6 SolΔ 2.6
    MMMU-Pro: GPT-5.6 Sol scored 83%; Muse Spark scored 80.4%. GPT-5.6 Sol wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-5.6 SolMuse SparkComparison
Input / output priceUSD per 1M tokensGPT-5.6 Sol$5 input / $30 outputMuse SparkNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5.6 SolNot availableMuse SparkNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.6 SolNot availableMuse SparkNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.6 Sol1MMuse Spark262KGPT-5.6 Sol lists the larger context window.

Benchmark Deep Dive

AgenticGPT-5.6 Sol wins
BenchmarkGPT-5.6 SolMuse SparkResult
Terminal-Bench 2.0Source 91.9%59%GPT-5.6 Sol leads
BrowseCompSource 92.2%—Not comparable
OSWorld 2.0Source 62.6%—Not comparable
CyberGymSource 84.5%43.5%GPT-5.6 Sol leads
ExploitGymSource 33.7%—Not comparable
ToolathlonSource 58%—Not comparable
AA Agentic IndexSource 54.0%28.7%GPT-5.6 Sol leads
τ²-bench resultsSource 85.1%91.5%Muse Spark leads
GDPval-AASource 61.8%32.2%GPT-5.6 Sol leads
GDPval-AASource 17361144GPT-5.6 Sol leads
AA BriefcaseSource 1501—Not comparable
AA ITBenchSource 56.2%—Not comparable
AA Tau3 BankingSource 33.0%—Not comparable
AA AutomationBenchSource 51.2%—Not comparable
AA Harvey LABSource 87.2%—Not comparable
terminalBenchHardSource 65.9%—Not comparable
aaTerminalBench21Source 88%—Not comparable
DeepSearchQASource —74.8%Not comparable
Claw-EvalSource —63.8%Not comparable
CodingMuse Spark wins
BenchmarkGPT-5.6 SolMuse SparkResult
SWE-bench ProSource 64.6%52.4%GPT-5.6 Sol leads
Terminal-Bench 2.0Source 91.9%—Not comparable
deepSweSource 72.7%—Not comparable
FrontierCode 1.1 ExtendedSource 60.6%—Not comparable
cursorBench32Source 67.2%—Not comparable
VulcanBench v3Source 87.0%—Not comparable
AA Coding IndexSource 77.4%58.6%GPT-5.6 Sol leads
AA-SciCodeSource 56.1%51.5%GPT-5.6 Sol leads
SWE-bench VerifiedSource —77.4%Not comparable
LiveCodeBench ProSource —80.0%Not comparable
Vibe Code BenchSource —19.67%Not comparable
Reasoning
BenchmarkGPT-5.6 SolMuse SparkResult
ARC-AGI-3Source 7.8%—Not comparable
GeneBench-ProSource 28.7%—Not comparable
AA-LCRSource 73.7%69.7%GPT-5.6 Sol leads
CritPtSource 32.3%11.3%GPT-5.6 Sol leads
ARC-AGI-2Source —42.5%Not comparable
KnowledgeGPT-5.6 Sol wins
BenchmarkGPT-5.6 SolMuse SparkResult
GPQASource 94.6%—Not comparable
GPQA-DSource 94.6%89.5%GPT-5.6 Sol leads
HealthBench ProfessionalSource 60.5%—Not comparable
HealthBench HardSource 33.1%42.8%Muse Spark leads
Artificial Analysis Intelligence IndexSource 58.9%43.1%GPT-5.6 Sol leads
AA-GPQA DiamondSource 94.1%88.4%GPT-5.6 Sol leads
AA-HLESource 47.2%39.9%GPT-5.6 Sol leads
AA-Omniscience IndexSource 21.7%4.1%GPT-5.6 Sol leads
AA-Omniscience AccuracySource 58.5%44.6%GPT-5.6 Sol leads
AA-Omniscience Hallucination RateSource 88.8%73.2%Muse Spark leads
HLESource —50.4%Not comparable
HLE w/o toolsSource —42.8%Not comparable
MedXpertQA (Text)Source —52.6%Not comparable
MathGPT-5.6 Sol wins
BenchmarkGPT-5.6 SolMuse SparkResult
FrontierMath (legacy)Source 89%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 89.000%39.000%GPT-5.6 Sol leads
FrontierMath v2 (Tier 4)Source 83.000%14.600%GPT-5.6 Sol leads
MultimodalGPT-5.6 Sol wins
BenchmarkGPT-5.6 SolMuse SparkResult
MMMU-ProSource 83%80.4%GPT-5.6 Sol leads
MMMU-Pro w/ PythonSource 84.6%—Not comparable
AA-MMMU-ProSource 83.4%80.5%GPT-5.6 Sol leads
CharXivSource —86.4%Not comparable
ERQASource —64.7%Not comparable
SimpleVQASource —71.3%Not comparable
ScreenSpot ProSource —84.1%Not comparable
ZeroBenchSource —33.0%Not comparable
MedXpertQA (MM)Source —78.4%Not comparable
Inst. Following
BenchmarkGPT-5.6 SolMuse SparkResult
AA-IFBenchSource 72.7%75.9%Muse Spark leads
Frequently Asked Questions (6)

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

GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard, 81.96 to 71.04. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 83.000% and 14.600%.

Which is better for knowledge tasks, GPT-5.6 Sol or Muse Spark?

GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 50.4. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.

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

Muse Spark has the edge for coding in this comparison, averaging 67.8 versus 64.6. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

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

GPT-5.6 Sol has the edge for math in this comparison, averaging 87.5 versus 32.9. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.6 Sol or Muse Spark?

GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 59. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, GPT-5.6 Sol or Muse Spark?

GPT-5.6 Sol has the edge for multimodal and grounded tasks in this comparison, averaging 83 versus 82.5. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.

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