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Model comparison

Hy3 Preview vs Sakana Fugu-Ultra

Data verified

Head-to-head evidence from 5 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

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No comparison
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0 category wins3 category wins

Evidence parity. Hy3 Preview and Sakana Fugu-Ultra share 5 comparable benchmark results. 3 of 8 categories are comparable. 17 results are unique to Hy3 Preview; 6 to Sakana Fugu-Ultra.

Updated July 23, 2026
Shared results
5
Hy3 Preview only
17
Sakana Fugu-Ultra only
6
Comparable categories
3 / 8

Treat this as a split decision. Hy3 Preview makes more sense if its workflow fits your team better; Sakana Fugu-Ultra is the better fit if knowledge is the priority or you need the larger 1M context window.

Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 3 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Hy3 Preview 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 256K for Hy3 Preview.

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 Hy3 Preview and Sakana Fugu-Ultra
CategoryHy3 PreviewΔSakana Fugu-Ultra
KnowledgeHy3 Preview33.8Margin→ 61.7Sakana Fugu-Ultra95.5
AgenticHy3 Preview54.4Margin→ 27.7Sakana Fugu-Ultra82.1
CodingHy3 Preview57.8Margin→ 6.7Sakana Fugu-Ultra64.5
ReasoningHy3 PreviewNot measuredMarginNo overlapSakana Fugu-Ultra93.6
MultimodalHy3 PreviewNot measuredMarginNo overlapSakana Fugu-Ultra86.6
Inst. FollowingHy3 Preview63.1MarginNo overlapSakana Fugu-UltraNot measured

Decisive benchmark drivers

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

More
A · Hy3 PreviewB · Sakana Fugu-Ultra

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 54.4%B 82.1%
    Winner: Sakana Fugu-UltraΔ 27.7
    Terminal-Bench 2.0: Hy3 Preview scored 54.4%; Sakana Fugu-Ultra scored 82.1%. Sakana Fugu-Ultra wins this benchmark.

  2. SciCode

    Coding
    Source ↗
    A 41.2%B 58.7%
    Winner: Sakana Fugu-UltraΔ 17.5
    SciCode: Hy3 Preview scored 41.2%; Sakana Fugu-Ultra scored 58.7%. Sakana Fugu-Ultra wins this benchmark.

  3. GPQA

    Knowledge
    Source ↗
    A 87.2%B 95.5%
    Winner: Sakana Fugu-UltraΔ 8.3
    GPQA: Hy3 Preview scored 87.2%; Sakana Fugu-Ultra scored 95.5%. Sakana Fugu-Ultra wins this benchmark.

Operational comparison

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

MetricHy3 PreviewSakana Fugu-UltraComparison
Input / output priceUSD per 1M tokensHy3 Preview$0 input / $0 outputSakana Fugu-UltraNot availableA complete price comparison is not available.
Generation speedtokens per secondHy3 PreviewNot availableSakana Fugu-UltraNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenHy3 PreviewNot availableSakana Fugu-UltraNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensHy3 Preview256KSakana Fugu-Ultra1MSakana Fugu-Ultra lists the larger context window.

Benchmark Deep Dive

AgenticSakana Fugu-Ultra wins
BenchmarkHy3 PreviewSakana Fugu-UltraResult
Terminal-Bench 2.0Source 54.4%82.1%Sakana Fugu-Ultra leads
Gert LabsSource 36.91%—Not comparable
AA Agentic IndexSource 30.7%—Not comparable
GDPval-AASource 35.7%—Not comparable
GDPval-AASource 1214—Not comparable
CodingSakana Fugu-Ultra wins
BenchmarkHy3 PreviewSakana Fugu-UltraResult
SWE-bench VerifiedSource 74.4%—Not comparable
Terminal-Bench 2.0Source 54.4%82.1%Sakana Fugu-Ultra leads
SciCodeSource 41.2%58.7%Sakana Fugu-Ultra leads
AA-SciCodeSource 47.6%—Not comparable
AA Coding IndexSource 58.8%—Not comparable
SWE-bench ProSource —73.7%Not comparable
LiveCodeBench v6Source —93.2%Not comparable
LiveCodeBench ProSource —90.8%Not comparable
Reasoning
BenchmarkHy3 PreviewSakana Fugu-UltraResult
AA-LCRSource 66.7%—Not comparable
CritPtSource 4.9%—Not comparable
MRCRv2Source —93.6%Not comparable
KnowledgeSakana Fugu-Ultra wins
BenchmarkHy3 PreviewSakana Fugu-UltraResult
Artificial Analysis Intelligence IndexSource 41.2%—Not comparable
GPQASource 87.2%95.5%Sakana Fugu-Ultra leads
GPQA-DSource 87.2%95.5%Sakana Fugu-Ultra leads
HLESource 25.5%—Not comparable
AA-Omniscience AccuracySource 31.5%—Not comparable
AA-Omniscience Hallucination RateSource 73.0%—Not comparable
AA-GPQA DiamondSource 89.7%—Not comparable
AA-HLESource 31.6%—Not comparable
AA-Omniscience IndexSource -18.5%—Not comparable
HLE w/o toolsSource —50%Not comparable
Multimodal
BenchmarkHy3 PreviewSakana Fugu-UltraResult
CharXivSource —86.6%Not comparable
Inst. Following
BenchmarkHy3 PreviewSakana Fugu-UltraResult
IFBenchSource 63.1%—Not comparable
Frequently Asked Questions (4)

Which is better, Hy3 Preview or Sakana Fugu-Ultra?

Hy3 Preview 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, Hy3 Preview or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 33.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for coding, Hy3 Preview or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for coding in this comparison, averaging 64.5 versus 57.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Hy3 Preview or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 54.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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