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Model comparison

Gemini 3.6 Flash vs Muse Spark

Data verified

Head-to-head evidence from 14 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

N/A
No comparison
71.04/100
1 category wins0 category wins

Public leaderboard positions: Gemini 3.6 Flash unranked (Not scored); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3.6 Flash and Muse Spark share 14 comparable benchmark results. 1 of 8 categories are comparable. 5 results are unique to Gemini 3.6 Flash; 25 to Muse Spark.

Updated July 21, 2026
Shared results
14
Gemini 3.6 Flash only
5
Muse Spark only
25
Comparable categories
1 / 8

Treat this as a split decision. Gemini 3.6 Flash makes more sense if agentic is the priority or you need the larger 1M context window; Muse Spark is the better fit if its strengths line up with your actual workload.

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Gemini 3.6 Flash and Muse Spark finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

Gemini 3.6 Flash 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 Gemini 3.6 Flash and Muse Spark
CategoryGemini 3.6 FlashΔMuse Spark
AgenticGemini 3.6 Flash83.0Margin← 24.0Muse Spark59.0
CodingGemini 3.6 FlashNot measuredMarginNo overlapMuse Spark67.8
ReasoningGemini 3.6 FlashNot measuredMarginNo overlapMuse Spark42.5
KnowledgeGemini 3.6 FlashNot measuredMarginNo overlapMuse Spark50.4
MathGemini 3.6 FlashNot measuredMarginNo overlapMuse Spark32.9
MultimodalGemini 3.6 FlashNot measuredMarginNo overlapMuse Spark82.5

Operational comparison

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

MetricGemini 3.6 FlashMuse SparkComparison
Input / output priceUSD per 1M tokensGemini 3.6 Flash$1.5 input / $7.5 outputMuse SparkNot availableA complete price comparison is not available.
Generation speedtokens per secondGemini 3.6 FlashNot availableMuse SparkNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 3.6 FlashNot availableMuse SparkNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 3.6 Flash1MMuse Spark262KGemini 3.6 Flash lists the larger context window.

Benchmark Deep Dive

AgenticGemini 3.6 Flash wins
BenchmarkGemini 3.6 FlashMuse SparkResult
OSWorld-VerifiedSource 83%—Not comparable
GDPval-AASource 14211144Gemini 3.6 Flash leads
AA Agentic IndexSource 38.7%28.7%Gemini 3.6 Flash leads
GDPval-AASource 46.1%32.2%Gemini 3.6 Flash leads
AA BriefcaseSource 961—Not comparable
AA Tau3 BankingSource 24.5%—Not comparable
aaTerminalBench21Source 77.5%—Not comparable
Terminal-Bench 2.0Source —59%Not comparable
τ²-bench resultsSource —91.5%Not comparable
DeepSearchQASource —74.8%Not comparable
CyberGymSource —43.5%Not comparable
Claw-EvalSource —63.8%Not comparable
Coding
BenchmarkGemini 3.6 FlashMuse SparkResult
deepSweSource 49%—Not comparable
AA Coding IndexSource 69.2%58.6%Gemini 3.6 Flash leads
AA-SciCodeSource 52.7%51.5%Gemini 3.6 Flash leads
SWE-bench VerifiedSource —77.4%Not comparable
SWE-bench ProSource —52.4%Not comparable
LiveCodeBench ProSource —80.0%Not comparable
Vibe Code BenchSource —19.67%Not comparable
Reasoning
BenchmarkGemini 3.6 FlashMuse SparkResult
AA-LCRSource 69.7%69.7%Tie
CritPtSource 10.6%11.3%Muse Spark leads
ARC-AGI-2Source —42.5%Not comparable
Knowledge
BenchmarkGemini 3.6 FlashMuse SparkResult
Artificial Analysis Intelligence IndexSource 50.1%43.1%Gemini 3.6 Flash leads
AA-GPQA DiamondSource 92.8%88.4%Gemini 3.6 Flash leads
AA-HLESource 38.3%39.9%Muse Spark leads
AA-Omniscience IndexSource 23.5%4.1%Gemini 3.6 Flash leads
AA-Omniscience AccuracySource 50.2%44.6%Gemini 3.6 Flash leads
AA-Omniscience Hallucination RateSource 53.5%73.2%Gemini 3.6 Flash leads
GPQA-DSource —89.5%Not comparable
HLESource —50.4%Not comparable
HLE w/o toolsSource —42.8%Not comparable
HealthBench HardSource —42.8%Not comparable
MedXpertQA (Text)Source —52.6%Not comparable
Math
BenchmarkGemini 3.6 FlashMuse SparkResult
FrontierMath v2 (Tiers 1-3)Source —39.000%Not comparable
FrontierMath v2 (Tier 4)Source —14.600%Not comparable
Multimodal
BenchmarkGemini 3.6 FlashMuse SparkResult
AA-MMMU-ProSource 83.2%80.5%Gemini 3.6 Flash leads
CharXivSource —86.4%Not comparable
MMMU-ProSource —80.4%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
BenchmarkGemini 3.6 FlashMuse SparkResult
AA-IFBenchSource —75.9%Not comparable
Frequently Asked Questions (2)

Which is better, Gemini 3.6 Flash or Muse Spark?

Gemini 3.6 Flash and Muse Spark are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for agentic tasks, Gemini 3.6 Flash or Muse Spark?

Gemini 3.6 Flash has the edge for agentic tasks in this comparison, averaging 83 versus 59. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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