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Model comparison

Muse Spark vs Sakana Fugu-Ultra

Data verified

Head-to-head evidence from 6 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

71.04/100
No comparison
N/A
1 category wins4 category wins

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

Evidence parity. Muse Spark and Sakana Fugu-Ultra share 6 comparable benchmark results. 5 of 8 categories are comparable. 33 results are unique to Muse Spark; 5 to Sakana Fugu-Ultra.

Updated July 23, 2026
Shared results
6
Muse Spark only
33
Sakana Fugu-Ultra only
5
Comparable categories
5 / 8

Treat this as a split decision. Muse Spark makes more sense if coding is the priority; Sakana Fugu-Ultra is the better fit if reasoning is the priority or you need the larger 1M context window.

Confidence note. This is a partial-evidence comparison with 6 shared benchmark results across 4 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 and Sakana Fugu-Ultra 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.

Sakana Fugu-Ultra 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 Muse Spark and Sakana Fugu-Ultra
CategoryMuse SparkΔSakana Fugu-Ultra
ReasoningMuse Spark42.5Margin→ 51.1Sakana Fugu-Ultra93.6
KnowledgeMuse Spark50.4Margin→ 45.1Sakana Fugu-Ultra95.5
AgenticMuse Spark59.0Margin→ 23.1Sakana Fugu-Ultra82.1
MultimodalMuse Spark82.5Margin→ 4.1Sakana Fugu-Ultra86.6
CodingMuse Spark67.8Margin← 3.3Sakana Fugu-Ultra64.5
MathMuse Spark32.9MarginNo overlapSakana Fugu-UltraNot measured

Decisive benchmark drivers

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

More
A · Muse SparkB · Sakana Fugu-Ultra

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 59%B 82.1%
    Winner: Sakana Fugu-UltraΔ 23.1
    Terminal-Bench 2.0: Muse Spark scored 59%; Sakana Fugu-Ultra scored 82.1%. Sakana Fugu-Ultra wins this benchmark.

  2. SWE-bench Pro

    Coding
    Source ↗
    A 52.4%B 73.7%
    Winner: Sakana Fugu-UltraΔ 21.3
    SWE-bench Pro: Muse Spark scored 52.4%; Sakana Fugu-Ultra scored 73.7%. Sakana Fugu-Ultra wins this benchmark.

  3. CharXiv

    Multimodal
    Source ↗
    A 86.4%B 86.6%
    Winner: Sakana Fugu-UltraΔ 0.2
    CharXiv: Muse Spark scored 86.4%; Sakana Fugu-Ultra scored 86.6%. Sakana Fugu-Ultra wins this benchmark.

Operational comparison

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

MetricMuse SparkSakana Fugu-UltraComparison
Input / output priceUSD per 1M tokensMuse SparkNot availableSakana Fugu-UltraNot availableA complete price comparison is not available.
Generation speedtokens per secondMuse SparkNot availableSakana Fugu-UltraNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenMuse SparkNot availableSakana Fugu-UltraNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensMuse Spark262KSakana Fugu-Ultra1MSakana Fugu-Ultra lists the larger context window.

Benchmark Deep Dive

AgenticSakana Fugu-Ultra wins
BenchmarkMuse SparkSakana Fugu-UltraResult
Terminal-Bench 2.0Source 59%82.1%Sakana Fugu-Ultra leads
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 1144—Not comparable
CodingMuse Spark wins
BenchmarkMuse SparkSakana Fugu-UltraResult
SWE-bench VerifiedSource 77.4%—Not comparable
SWE-bench ProSource 52.4%73.7%Sakana Fugu-Ultra leads
LiveCodeBench ProSource 80.0%90.8%Sakana Fugu-Ultra leads
Vibe Code BenchSource 19.67%—Not comparable
AA Coding IndexSource 58.6%—Not comparable
AA-SciCodeSource 51.5%—Not comparable
Terminal-Bench 2.0Source —82.1%Not comparable
LiveCodeBench v6Source —93.2%Not comparable
SciCodeSource —58.7%Not comparable
ReasoningSakana Fugu-Ultra wins
BenchmarkMuse SparkSakana Fugu-UltraResult
ARC-AGI-2Source 42.5%—Not comparable
AA-LCRSource 69.7%—Not comparable
CritPtSource 11.3%—Not comparable
MRCRv2Source —93.6%Not comparable
KnowledgeSakana Fugu-Ultra wins
BenchmarkMuse SparkSakana Fugu-UltraResult
GPQA-DSource 89.5%95.5%Sakana Fugu-Ultra leads
HLESource 50.4%—Not comparable
HLE w/o toolsSource 42.8%50%Sakana Fugu-Ultra leads
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
GPQASource —95.5%Not comparable
Math
BenchmarkMuse SparkSakana Fugu-UltraResult
FrontierMath v2 (Tiers 1-3)Source 39.000%—Not comparable
FrontierMath v2 (Tier 4)Source 14.600%—Not comparable
MultimodalSakana Fugu-Ultra wins
BenchmarkMuse SparkSakana Fugu-UltraResult
CharXivSource 86.4%86.6%Sakana Fugu-Ultra leads
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
BenchmarkMuse SparkSakana Fugu-UltraResult
AA-IFBenchSource 75.9%—Not comparable
Frequently Asked Questions (6)

Which is better, Muse Spark or Sakana Fugu-Ultra?

Muse Spark and Sakana Fugu-Ultra 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 knowledge tasks, Muse Spark or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 50.4. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.

Which is better for coding, Muse Spark or Sakana Fugu-Ultra?

Muse Spark has the edge for coding in this comparison, averaging 67.8 versus 64.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for reasoning, Muse Spark or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for reasoning in this comparison, averaging 93.6 versus 42.5. Muse Spark stays close enough that the answer can still flip depending on your workload.

Which is better for agentic tasks, Muse Spark or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 59. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Muse Spark or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for multimodal and grounded tasks in this comparison, averaging 86.6 versus 82.5. Inside this category, CharXiv is the benchmark that creates the most daylight between them.

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Last updated: July 23, 2026

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