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Model comparison

Laguna S 2.1 vs Muse Spark

Data verified

Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Poolside
N/A
No comparison
71.04/100
1 category wins1 category wins

Public leaderboard positions: Laguna S 2.1 unranked (Not scored); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Laguna S 2.1 and Muse Spark share 2 comparable benchmark results. 2 of 8 categories are comparable. 4 results are unique to Laguna S 2.1; 37 to Muse Spark.

Updated July 21, 2026
Shared results
2
Laguna S 2.1 only
4
Muse Spark only
37
Comparable categories
2 / 8

Treat this as a split decision. Laguna S 2.1 makes more sense if agentic is the priority or you need the larger 1M context window; Muse Spark is the better fit if coding is the priority.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Laguna S 2.1 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.

Laguna S 2.1 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 Laguna S 2.1 and Muse Spark
CategoryLaguna S 2.1ΔMuse Spark
AgenticLaguna S 2.170.2Margin 11.2Muse Spark59.0
CodingLaguna S 2.159.4Margin 8.4Muse Spark67.8
ReasoningLaguna S 2.1Not measuredMarginNo overlapMuse Spark42.5
KnowledgeLaguna S 2.1Not measuredMarginNo overlapMuse Spark50.4
MathLaguna S 2.1Not measuredMarginNo overlapMuse Spark32.9
MultimodalLaguna S 2.1Not measuredMarginNo overlapMuse Spark82.5

Decisive benchmark drivers

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

More
A · Laguna S 2.1B · Muse Spark
  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 70.2%B 59%
    Winner: Laguna S 2.1Δ 11.2
    Terminal-Bench 2.0: Laguna S 2.1 scored 70.2%; Muse Spark scored 59%. Laguna S 2.1 wins this benchmark.
  2. SWE-bench Pro

    Coding
    Source ↗
    A 59.4%B 52.4%
    Winner: Laguna S 2.1Δ 7
    SWE-bench Pro: Laguna S 2.1 scored 59.4%; Muse Spark scored 52.4%. Laguna S 2.1 wins this benchmark.

Operational comparison

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

MetricLaguna S 2.1Muse SparkComparison
Input / output priceUSD per 1M tokensLaguna S 2.1$0.1 input / $0.2 outputMuse SparkNot availableA complete price comparison is not available.
Generation speedtokens per secondLaguna S 2.1Not availableMuse SparkNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLaguna S 2.1Not availableMuse SparkNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensLaguna S 2.11MMuse Spark262KLaguna S 2.1 lists the larger context window.

Benchmark Deep Dive

AgenticLaguna S 2.1 wins
BenchmarkLaguna S 2.1Muse SparkResult
Terminal-Bench 2.0Source 70.2%59%Laguna S 2.1 leads
Toolathlon-VerifiedSource 49.7%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
AA Agentic IndexSource 28.7%Not comparable
GDPval-AASource 32.2%Not comparable
GDPval-AASource 1144Not comparable
CodingMuse Spark wins
BenchmarkLaguna S 2.1Muse SparkResult
Terminal-Bench 2.0Source 70.2%Not comparable
SWE MultilingualSource 78.5%Not comparable
SWE-bench ProSource 59.4%52.4%Laguna S 2.1 leads
deepSweSource 40.4%Not comparable
SWE-bench VerifiedSource 77.4%Not comparable
LiveCodeBench ProSource 80.0%Not comparable
Vibe Code BenchSource 19.67%Not comparable
AA Coding IndexSource 58.6%Not comparable
AA-SciCodeSource 51.5%Not comparable
Reasoning
BenchmarkLaguna S 2.1Muse SparkResult
ARC-AGI-2Source 42.5%Not comparable
AA-LCRSource 69.7%Not comparable
CritPtSource 11.3%Not comparable
Knowledge
BenchmarkLaguna S 2.1Muse SparkResult
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
Artificial Analysis Intelligence IndexSource 43.1%Not comparable
AA-GPQA DiamondSource 88.4%Not comparable
AA-HLESource 39.9%Not comparable
AA-Omniscience IndexSource 4.1%Not comparable
AA-Omniscience AccuracySource 44.6%Not comparable
AA-Omniscience Hallucination RateSource 73.2%Not comparable
Math
BenchmarkLaguna S 2.1Muse SparkResult
FrontierMath v2 (Tiers 1-3)Source 39.000%Not comparable
FrontierMath v2 (Tier 4)Source 14.600%Not comparable
Multimodal
BenchmarkLaguna S 2.1Muse SparkResult
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
AA-MMMU-ProSource 80.5%Not comparable
Inst. Following
BenchmarkLaguna S 2.1Muse SparkResult
AA-IFBenchSource 75.9%Not comparable
Frequently Asked Questions (3)

Which is better, Laguna S 2.1 or Muse Spark?

Laguna S 2.1 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 coding, Laguna S 2.1 or Muse Spark?

Muse Spark has the edge for coding in this comparison, averaging 67.8 versus 59.4. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Laguna S 2.1 or Muse Spark?

Laguna S 2.1 has the edge for agentic tasks in this comparison, averaging 70.2 versus 59. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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Last updated: July 21, 2026

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