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Model comparison

Qwen3.7 Plus vs Sakana Fugu-Ultra

Data verified

Head-to-head evidence from 8 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

67.22/100
No comparison
N/A
1 category wins4 category wins

Public leaderboard positions: Qwen3.7 Plus #21 (Supported); Sakana Fugu-Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.7 Plus and Sakana Fugu-Ultra share 8 comparable benchmark results. 5 of 8 categories are comparable. 61 results are unique to Qwen3.7 Plus; 3 to Sakana Fugu-Ultra.

Updated July 23, 2026
Shared results
8
Qwen3.7 Plus only
61
Sakana Fugu-Ultra only
3
Comparable categories
5 / 8

Treat this as a split decision. Qwen3.7 Plus makes more sense if coding is the priority; Sakana Fugu-Ultra is the better fit if knowledge is the priority.

Confidence note. This is a partial-evidence comparison with 8 shared benchmark results across 5 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

Qwen3.7 Plus 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.

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 Qwen3.7 Plus and Sakana Fugu-Ultra
CategoryQwen3.7 PlusΔSakana Fugu-Ultra
KnowledgeQwen3.7 Plus60.1Margin→ 35.4Sakana Fugu-Ultra95.5
CodingQwen3.7 Plus75.6Margin← 11.1Sakana Fugu-Ultra64.5
AgenticQwen3.7 Plus71.7Margin→ 10.4Sakana Fugu-Ultra82.1
MultimodalQwen3.7 Plus81.5Margin→ 5.1Sakana Fugu-Ultra86.6
ReasoningQwen3.7 Plus91.7Margin→ 1.9Sakana Fugu-Ultra93.6
MathQwen3.7 Plus92.9MarginNo overlapSakana Fugu-UltraNot measured
MultilingualQwen3.7 Plus85.4MarginNo overlapSakana Fugu-UltraNot measured
Inst. FollowingQwen3.7 Plus84.5MarginNo overlapSakana Fugu-UltraNot measured

Decisive benchmark drivers

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

More
A · Qwen3.7 PlusB · Sakana Fugu-Ultra

  1. SWE-bench Pro

    Coding
    Source ↗
    A 57.6%B 73.7%
    Winner: Sakana Fugu-UltraΔ 16.1
    SWE-bench Pro: Qwen3.7 Plus scored 57.6%; Sakana Fugu-Ultra scored 73.7%. Sakana Fugu-Ultra wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 70.3%B 82.1%
    Winner: Sakana Fugu-UltraΔ 11.8
    Terminal-Bench 2.0: Qwen3.7 Plus scored 70.3%; Sakana Fugu-Ultra scored 82.1%. Sakana Fugu-Ultra wins this benchmark.

  3. SciCode

    Coding
    Source ↗
    A 51.3%B 58.7%
    Winner: Sakana Fugu-UltraΔ 7.4
    SciCode: Qwen3.7 Plus scored 51.3%; Sakana Fugu-Ultra scored 58.7%. Sakana Fugu-Ultra wins this benchmark.

  4. GPQA

    Knowledge
    Source ↗
    A 90.3%B 95.5%
    Winner: Sakana Fugu-UltraΔ 5.2
    GPQA: Qwen3.7 Plus scored 90.3%; Sakana Fugu-Ultra scored 95.5%. Sakana Fugu-Ultra wins this benchmark.

  5. MRCRv2

    Reasoning
    Source ↗
    A 91.7%B 93.6%
    Winner: Sakana Fugu-UltraΔ 1.9
    MRCRv2: Qwen3.7 Plus scored 91.7%; Sakana Fugu-Ultra scored 93.6%. Sakana Fugu-Ultra wins this benchmark.

Operational comparison

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

MetricQwen3.7 PlusSakana Fugu-UltraComparison
Input / output priceUSD per 1M tokensQwen3.7 PlusNot availableSakana Fugu-UltraNot availableA complete price comparison is not available.
Generation speedtokens per secondQwen3.7 PlusNot availableSakana Fugu-UltraNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.7 PlusNot availableSakana Fugu-UltraNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.7 Plus1MSakana Fugu-Ultra1MListed context windows are equal.

Benchmark Deep Dive

AgenticSakana Fugu-Ultra wins
BenchmarkQwen3.7 PlusSakana Fugu-UltraResult
Terminal-Bench 2.0Source 70.3%82.1%Sakana Fugu-Ultra leads
QwenClawBenchSource 61.8%—Not comparable
QwenWebBenchSource 1536—Not comparable
Claw-EvalSource 62.7%—Not comparable
BFCL v4Source 72.9%—Not comparable
MCP AtlasSource 73.2%—Not comparable
VITA-BenchSource 45.6%—Not comparable
DeepPlanningSource 62.3%—Not comparable
OSWorld-VerifiedSource 73.3%—Not comparable
AndroidWorldSource 81.0%—Not comparable
AA Agentic IndexSource 20.8%—Not comparable
APEX-Agents-AASource 22.4%—Not comparable
τ²-bench resultsSource 93%—Not comparable
GDPval-AASource 21.8%—Not comparable
GDPval-AASource 936—Not comparable
OSWorld 2.0Source 2.8%—Not comparable
CodingQwen3.7 Plus wins
BenchmarkQwen3.7 PlusSakana Fugu-UltraResult
Terminal-Bench 2.0Source 70.3%82.1%Sakana Fugu-Ultra leads
SWE-bench VerifiedSource 77.7%—Not comparable
SWE-bench ProSource 57.6%73.7%Sakana Fugu-Ultra leads
SWE MultilingualSource 75.8%—Not comparable
NL2RepoSource 41.1%—Not comparable
SciCodeSource 51.3%58.7%Sakana Fugu-Ultra leads
LiveCodeBenchSource 89.6%—Not comparable
AA Coding IndexSource 55.9%—Not comparable
AA-SciCodeSource 45.5%—Not comparable
LiveCodeBench v6Source —93.2%Not comparable
LiveCodeBench ProSource —90.8%Not comparable
ReasoningSakana Fugu-Ultra wins
BenchmarkQwen3.7 PlusSakana Fugu-UltraResult
CritPtSource 9.1%—Not comparable
MRCRv2Source 91.7%93.6%Sakana Fugu-Ultra leads
AA-LCRSource 65.0%—Not comparable
KnowledgeSakana Fugu-Ultra wins
BenchmarkQwen3.7 PlusSakana Fugu-UltraResult
GPQASource 90.3%95.5%Sakana Fugu-Ultra leads
GPQA-DSource 90.3%95.5%Sakana Fugu-Ultra leads
HLESource 34.7%—Not comparable
MMLU-ProSource 88.5%—Not comparable
MMLU-ReduxSource 94.5%—Not comparable
SuperGPQASource 71.4%—Not comparable
MMMLUSource 89.0%—Not comparable
Artificial Analysis Intelligence IndexSource 39.0%—Not comparable
AA-GPQA DiamondSource 90.0%—Not comparable
AA-HLESource 33.4%—Not comparable
AA-Omniscience IndexSource 2.4%—Not comparable
AA-Omniscience AccuracySource 22.2%—Not comparable
AA-Omniscience Hallucination RateSource 25.5%—Not comparable
HLE w/o toolsSource —50%Not comparable
Math
BenchmarkQwen3.7 PlusSakana Fugu-UltraResult
HMMT Feb 2026Source 92.9%—Not comparable
IMOAnswerBenchSource 86.0%—Not comparable
ApexSource 22.7%—Not comparable
Multilingual
BenchmarkQwen3.7 PlusSakana Fugu-UltraResult
MMLU-ProXSource 85.4%—Not comparable
NOVA-63Source 58.8%—Not comparable
INCLUDESource 83.0%—Not comparable
MAXIFESource 88.8%—Not comparable
PolyMathSource 84.0%—Not comparable
MultimodalSakana Fugu-Ultra wins
BenchmarkQwen3.7 PlusSakana Fugu-UltraResult
MMMU-ProSource 79%—Not comparable
MathVisionSource 90.3%—Not comparable
CharXivSource 85.9%86.6%Sakana Fugu-Ultra leads
ERQASource 69.8%—Not comparable
MedXpertQA (MM)Source 71.0%—Not comparable
ScreenSpot ProSource 79.0%—Not comparable
SimpleVQASource 81.7%—Not comparable
MMSearch-PlusSource 41.4%—Not comparable
RealWorldQASource 86.9%—Not comparable
OmniDocBench 1.5Source 91.4%—Not comparable
OCRBench V2Source 70.7%—Not comparable
ODINW13Source 51.1%—Not comparable
Video-MME (with subtitle)Source 88.0%—Not comparable
VideoMMMUSource 85.4%—Not comparable
MLVU (M-Avg)Source 87.4%—Not comparable
AA-MMMU-ProSource 80.5%—Not comparable
Design Arena WebsiteSource 1288—Not comparable
Inst. Following
BenchmarkQwen3.7 PlusSakana Fugu-UltraResult
IFEvalSource 94.6%—Not comparable
IFBenchSource 79.1%—Not comparable
AA-IFBenchSource 78.0%—Not comparable
Frequently Asked Questions (6)

Which is better, Qwen3.7 Plus or Sakana Fugu-Ultra?

Qwen3.7 Plus 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, Qwen3.7 Plus or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 60.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for coding, Qwen3.7 Plus or Sakana Fugu-Ultra?

Qwen3.7 Plus has the edge for coding in this comparison, averaging 75.6 versus 64.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for reasoning, Qwen3.7 Plus or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for reasoning in this comparison, averaging 93.6 versus 91.7. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Qwen3.7 Plus or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 71.7. 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, Qwen3.7 Plus or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for multimodal and grounded tasks in this comparison, averaging 86.6 versus 81.5. Inside this category, CharXiv is the benchmark that creates the most daylight between them.

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