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Model comparison

Qwen3.7 Max vs Sakana Fugu-Ultra

Data verified

Head-to-head evidence from 7 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

72.84/100
No comparison
N/A
1 category wins3 category wins

Public leaderboard positions: Qwen3.7 Max #10 (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 Max and Sakana Fugu-Ultra share 7 comparable benchmark results. 4 of 8 categories are comparable. 51 results are unique to Qwen3.7 Max; 4 to Sakana Fugu-Ultra.

Updated July 23, 2026
Shared results
7
Qwen3.7 Max only
51
Sakana Fugu-Ultra only
4
Comparable categories
4 / 8

Treat this as a split decision. Qwen3.7 Max 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 7 shared benchmark results across 4 evidence categories; 4 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 Max 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 Max and Sakana Fugu-Ultra
CategoryQwen3.7 MaxΔSakana Fugu-Ultra
KnowledgeQwen3.7 Max64.2Margin→ 31.3Sakana Fugu-Ultra95.5
CodingQwen3.7 Max77.9Margin← 13.4Sakana Fugu-Ultra64.5
AgenticQwen3.7 Max69.7Margin→ 12.4Sakana Fugu-Ultra82.1
ReasoningQwen3.7 Max90.4Margin→ 3.2Sakana Fugu-Ultra93.6
MathQwen3.7 Max97.1MarginNo overlapSakana Fugu-UltraNot measured
MultilingualQwen3.7 Max87.0MarginNo overlapSakana Fugu-UltraNot measured
MultimodalQwen3.7 MaxNot measuredMarginNo overlapSakana Fugu-Ultra86.6
Inst. FollowingQwen3.7 Max84.4MarginNo overlapSakana Fugu-UltraNot measured

Decisive benchmark drivers

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

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

  1. SWE-bench Pro

    Coding
    Source ↗
    A 60.6%B 73.7%
    Winner: Sakana Fugu-UltraΔ 13.1
    SWE-bench Pro: Qwen3.7 Max scored 60.6%; Sakana Fugu-Ultra scored 73.7%. Sakana Fugu-Ultra wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 69.7%B 82.1%
    Winner: Sakana Fugu-UltraΔ 12.4
    Terminal-Bench 2.0: Qwen3.7 Max scored 69.7%; Sakana Fugu-Ultra scored 82.1%. Sakana Fugu-Ultra wins this benchmark.

  3. SciCode

    Coding
    Source ↗
    A 53.5%B 58.7%
    Winner: Sakana Fugu-UltraΔ 5.2
    SciCode: Qwen3.7 Max scored 53.5%; Sakana Fugu-Ultra scored 58.7%. Sakana Fugu-Ultra wins this benchmark.

  4. MRCRv2

    Reasoning
    Source ↗
    A 90.4%B 93.6%
    Winner: Sakana Fugu-UltraΔ 3.2
    MRCRv2: Qwen3.7 Max scored 90.4%; Sakana Fugu-Ultra scored 93.6%. Sakana Fugu-Ultra wins this benchmark.

  5. GPQA

    Knowledge
    Source ↗
    A 92.4%B 95.5%
    Winner: Sakana Fugu-UltraΔ 3.1
    GPQA: Qwen3.7 Max scored 92.4%; 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.

MetricQwen3.7 MaxSakana Fugu-UltraComparison
Input / output priceUSD per 1M tokensQwen3.7 MaxNot availableSakana Fugu-UltraNot availableA complete price comparison is not available.
Generation speedtokens per secondQwen3.7 MaxNot availableSakana Fugu-UltraNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.7 MaxNot availableSakana Fugu-UltraNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.7 Max1MSakana Fugu-Ultra1MListed context windows are equal.

Benchmark Deep Dive

AgenticSakana Fugu-Ultra wins
BenchmarkQwen3.7 MaxSakana Fugu-UltraResult
Terminal-Bench 2.0Source 69.7%82.1%Sakana Fugu-Ultra leads
QwenClawBenchSource 64.3%—Not comparable
QwenWebBenchSource 1568—Not comparable
Claw-EvalSource 65.2%—Not comparable
BFCL v4Source 75.0%—Not comparable
MCP AtlasSource 76.4%—Not comparable
VITA-BenchSource 47.9%—Not comparable
HLE w/ toolsSource 53.5%—Not comparable
AA Agentic IndexSource 30.6%—Not comparable
τ²-bench resultsSource 94.7%—Not comparable
GDPval-AASource 38.7%—Not comparable
GDPval-AASource 1273—Not comparable
Gert LabsSource 64.27%—Not comparable
ResearchClawBenchSource 18.7%—Not comparable
AA BriefcaseSource 908—Not comparable
AA AutomationBenchSource 25.6%—Not comparable
AA EnterpriseOps-GymSource 45.0%—Not comparable
AA ITBenchSource 42.5%—Not comparable
terminalBenchHardSource 50.8%—Not comparable
aaTerminalBench21Source 74.5%—Not comparable
AA Harvey LABSource 83.4%—Not comparable
CodingQwen3.7 Max wins
BenchmarkQwen3.7 MaxSakana Fugu-UltraResult
SWE-bench VerifiedSource 80.4%—Not comparable
SWE-bench ProSource 60.6%73.7%Sakana Fugu-Ultra leads
SWE MultilingualSource 78.3%—Not comparable
NL2RepoSource 47.2%—Not comparable
SciCodeSource 53.5%58.7%Sakana Fugu-Ultra leads
LiveCodeBenchSource 91.6%—Not comparable
Terminal-Bench 2.0Source 69.7%82.1%Sakana Fugu-Ultra leads
AA Coding IndexSource 66.0%—Not comparable
AA-SciCodeSource 48.8%—Not comparable
LiveCodeBench v6Source —93.2%Not comparable
LiveCodeBench ProSource —90.8%Not comparable
ReasoningSakana Fugu-Ultra wins
BenchmarkQwen3.7 MaxSakana Fugu-UltraResult
MRCRv2Source 90.4%93.6%Sakana Fugu-Ultra leads
CritPtSource 13.4%—Not comparable
AA-LCRSource 69.0%—Not comparable
KnowledgeSakana Fugu-Ultra wins
BenchmarkQwen3.7 MaxSakana Fugu-UltraResult
GPQASource 92.4%95.5%Sakana Fugu-Ultra leads
GPQA-DSource 92.4%95.5%Sakana Fugu-Ultra leads
HLESource 41.4%—Not comparable
MMLU-ProSource 89.6%—Not comparable
MMLU-ReduxSource 95%—Not comparable
SuperGPQASource 73.6%—Not comparable
MMMLUSource 90.3%—Not comparable
Artificial Analysis Intelligence IndexSource 46.0%—Not comparable
AA-GPQA DiamondSource 92.3%—Not comparable
AA-HLESource 38.1%—Not comparable
AA-Omniscience IndexSource 14.1%—Not comparable
AA-Omniscience AccuracySource 30.1%—Not comparable
AA-Omniscience Hallucination RateSource 22.9%—Not comparable
HLE w/o toolsSource —50%Not comparable
Math
BenchmarkQwen3.7 MaxSakana Fugu-UltraResult
HMMT Feb 2026Source 97.1%—Not comparable
IMOAnswerBenchSource 90.0%—Not comparable
ApexSource 44.5%—Not comparable
Multilingual
BenchmarkQwen3.7 MaxSakana Fugu-UltraResult
MMLU-ProXSource 87%—Not comparable
NOVA-63Source 59.0%—Not comparable
INCLUDESource 86.2%—Not comparable
MAXIFESource 89.2%—Not comparable
PolyMathSource 86.5%—Not comparable
Multimodal
BenchmarkQwen3.7 MaxSakana Fugu-UltraResult
Design Arena WebsiteSource 1293—Not comparable
CharXivSource —86.6%Not comparable
Inst. Following
BenchmarkQwen3.7 MaxSakana Fugu-UltraResult
IFEvalSource 94.3%—Not comparable
IFBenchSource 79.1%—Not comparable
AA-IFBenchSource 80.5%—Not comparable
Frequently Asked Questions (5)

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

Qwen3.7 Max 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 Max or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 64.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.

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

Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 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 Max or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for reasoning in this comparison, averaging 93.6 versus 90.4. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.

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

Sakana Fugu-Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 69.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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