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Model comparison

Claude Opus 4.6 vs Muse Spark

Data verified

Head-to-head evidence from 31 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

68.59/100
Margin
2.5pts
winning →
71.04/100
4 category wins1 category wins

Public leaderboard positions: Claude Opus 4.6 #16 (Supported); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.6 and Muse Spark share 31 comparable benchmark results. 5 of 8 categories are comparable. 15 results are unique to Claude Opus 4.6; 8 to Muse Spark.

Updated July 23, 2026
Shared results
31
Claude Opus 4.6 only
15
Muse Spark only
8
Comparable categories
5 / 8

Pick Muse Spark if you want the stronger benchmark profile. Claude Opus 4.6 only becomes the better choice if knowledge is the priority or you need the larger 1M context window.

Confidence note. This is a partial-evidence comparison with 31 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

Muse Spark has the cleaner BenchAlign overall profile here, landing at 71.04 versus 68.59. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Muse Spark's sharpest advantage is in multimodal & grounded, where it averages 82.5 against 77.3. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 22.900% to 14.600%. Claude Opus 4.6 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

Muse Spark is the reasoning model in the pair, while Claude Opus 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude Opus 4.6 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 Claude Opus 4.6 and Muse Spark
CategoryClaude Opus 4.6ΔMuse Spark
KnowledgeClaude Opus 4.669.1Margin← 18.7Muse Spark50.4
AgenticClaude Opus 4.673.0Margin← 14.0Muse Spark59.0
MultimodalClaude Opus 4.677.3Margin→ 5.2Muse Spark82.5
MathClaude Opus 4.636.3Margin← 3.4Muse Spark32.9
CodingClaude Opus 4.668.1Margin← 0.3Muse Spark67.8
ReasoningClaude Opus 4.6Not measuredMarginNo overlapMuse Spark42.5

Decisive benchmark drivers

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

More
A · Claude Opus 4.6B · Muse Spark

  1. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 22.900%B 14.600%
    Winner: Claude Opus 4.6Δ 8.3
    FrontierMath v2 (Tier 4): Claude Opus 4.6 scored 22.900%; Muse Spark scored 14.600%. Claude Opus 4.6 wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 65.4%B 59%
    Winner: Claude Opus 4.6Δ 6.4
    Terminal-Bench 2.0: Claude Opus 4.6 scored 65.4%; Muse Spark scored 59%. Claude Opus 4.6 wins this benchmark.

  3. SWE-bench Verified

    Coding
    Source ↗
    A 80.8%B 77.4%
    Winner: Claude Opus 4.6Δ 3.4
    SWE-bench Verified: Claude Opus 4.6 scored 80.8%; Muse Spark scored 77.4%. Claude Opus 4.6 wins this benchmark.

  4. MMMU-Pro

    Multimodal
    Source ↗
    A 77.3%B 80.4%
    Winner: Muse SparkΔ 3.1
    MMMU-Pro: Claude Opus 4.6 scored 77.3%; Muse Spark scored 80.4%. Muse Spark wins this benchmark.

  5. HLE

    Knowledge
    Source ↗
    A 53%B 50.4%
    Winner: Claude Opus 4.6Δ 2.6
    HLE: Claude Opus 4.6 scored 53%; Muse Spark scored 50.4%. Claude Opus 4.6 wins this benchmark.

Operational comparison

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

MetricClaude Opus 4.6Muse SparkComparison
Input / output priceUSD per 1M tokensClaude Opus 4.6$5 input / $25 outputMuse SparkNot availableA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.640 tok/sMuse SparkNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.61.78 sMuse SparkNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.61MMuse Spark262KClaude Opus 4.6 lists the larger context window.

Benchmark Deep Dive

AgenticClaude Opus 4.6 wins
BenchmarkClaude Opus 4.6Muse SparkResult
Terminal-Bench 2.0Source 65.4%59%Claude Opus 4.6 leads
BrowseCompSource 83.7%—Not comparable
OSWorld-VerifiedSource 72.7%—Not comparable
τ²-bench resultsSource 84.8%91.5%Muse Spark leads
Claw-EvalSource 70.4%63.8%Claude Opus 4.6 leads
DeepSearchQASource 73.7%74.8%Muse Spark leads
CyberGymSource 66.6%43.5%Claude Opus 4.6 leads
Gert LabsSource 61.85%—Not comparable
ResearchClawBenchSource 19.9%—Not comparable
JobBenchSource 36.7%—Not comparable
AA Agentic IndexSource —28.7%Not comparable
GDPval-AASource —32.2%Not comparable
GDPval-AASource —1144Not comparable
CodingClaude Opus 4.6 wins
BenchmarkClaude Opus 4.6Muse SparkResult
SWE-bench VerifiedSource 80.8%77.4%Claude Opus 4.6 leads
SWE-bench Verified*Source 75.6%—Not comparable
LiveCodeBench ProSource 70.7%80.0%Muse Spark leads
SWE-bench ProSource 53.4%52.4%Claude Opus 4.6 leads
SWE-RebenchSource 65.3%—Not comparable
React Native EvalsSource 84.1%—Not comparable
Vibe Code BenchSource 57.57%19.67%Claude Opus 4.6 leads
AA-SciCodeSource 45.7%51.5%Muse Spark leads
FrontierCode 1.1 MainSource 26.9%—Not comparable
AA Coding IndexSource —58.6%Not comparable
Reasoning
BenchmarkClaude Opus 4.6Muse SparkResult
AA-LCRSource 58.3%69.7%Muse Spark leads
CritPtSource 2.8%11.3%Muse Spark leads
ARC-AGI-2Source —42.5%Not comparable
KnowledgeClaude Opus 4.6 wins
BenchmarkClaude Opus 4.6Muse SparkResult
GPQASource 91.3%—Not comparable
GPQA-DSource 89.2%89.5%Muse Spark leads
SuperGPQASource 95%—Not comparable
MMLU-ProSource 82%—Not comparable
MMLU-Pro (Arcee)Source 89.1%—Not comparable
HLESource 53%50.4%Claude Opus 4.6 leads
HLE w/o toolsSource 40%42.8%Muse Spark leads
HealthBench HardSource 14.8%42.8%Muse Spark leads
MedXpertQA (Text)Source 52.1%52.6%Muse Spark leads
Artificial Analysis Intelligence IndexSource 37.8%43.1%Muse Spark leads
AA-GPQA DiamondSource 84.0%88.4%Muse Spark leads
AA-HLESource 18.6%39.9%Muse Spark leads
AA-Omniscience IndexSource 3.5%4.1%Muse Spark leads
AA-Omniscience AccuracySource 45.2%44.6%Claude Opus 4.6 leads
AA-Omniscience Hallucination RateSource 76.0%73.2%Muse Spark leads
MathClaude Opus 4.6 wins
BenchmarkClaude Opus 4.6Muse SparkResult
AIME25 (Arcee)Source 99.8%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 40.700%39.000%Claude Opus 4.6 leads
FrontierMath v2 (Tier 4)Source 22.900%14.600%Claude Opus 4.6 leads
MultimodalMuse Spark wins
BenchmarkClaude Opus 4.6Muse SparkResult
MMMU-ProSource 77.3%80.4%Muse Spark leads
ERQASource 51.6%64.7%Muse Spark leads
ScreenSpot ProSource 83.1%84.1%Muse Spark leads
MedXpertQA (MM)Source 64.8%78.4%Muse Spark leads
AA-MMMU-ProSource 72.5%80.5%Muse Spark leads
Design Arena WebsiteSource 1325—Not comparable
CharXivSource —86.4%Not comparable
SimpleVQASource —71.3%Not comparable
ZeroBenchSource —33.0%Not comparable
Inst. Following
BenchmarkClaude Opus 4.6Muse SparkResult
AA-IFBenchSource 44.6%75.9%Muse Spark leads
Frequently Asked Questions (6)

Which is better, Claude Opus 4.6 or Muse Spark?

Muse Spark is ahead on BenchLM's BenchAlign leaderboard, 71.04 to 68.59. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 22.900% and 14.600%.

Which is better for knowledge tasks, Claude Opus 4.6 or Muse Spark?

Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 69.1 versus 50.4. Inside this category, HealthBench Hard is the benchmark that creates the most daylight between them.

Which is better for coding, Claude Opus 4.6 or Muse Spark?

Claude Opus 4.6 has the edge for coding in this comparison, averaging 68.1 versus 67.8. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.

Which is better for math, Claude Opus 4.6 or Muse Spark?

Claude Opus 4.6 has the edge for math in this comparison, averaging 36.3 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, Claude Opus 4.6 or Muse Spark?

Claude Opus 4.6 has the edge for agentic tasks in this comparison, averaging 73 versus 59. Inside this category, CyberGym is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Claude Opus 4.6 or Muse Spark?

Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 82.5 versus 77.3. Inside this category, MedXpertQA (MM) is the benchmark that creates the most daylight between them.

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