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Model comparison

Qwen3.6 Plus vs Sakana Fugu-Ultra

Data verified

Head-to-head evidence from 5 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

65.2/100
No comparison
N/A
1 category wins4 category wins

Public leaderboard positions: Qwen3.6 Plus #30 (Supported); Sakana Fugu-Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.6 Plus and Sakana Fugu-Ultra share 5 comparable benchmark results. 5 of 8 categories are comparable. 55 results are unique to Qwen3.6 Plus; 6 to Sakana Fugu-Ultra.

Updated July 23, 2026
Shared results
5
Qwen3.6 Plus only
55
Sakana Fugu-Ultra only
6
Comparable categories
5 / 8

Treat this as a split decision. Qwen3.6 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 5 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

Qwen3.6 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 Qwen3.6 Plus and Sakana Fugu-Ultra
CategoryQwen3.6 PlusΔSakana Fugu-Ultra
KnowledgeQwen3.6 Plus57.1Margin→ 38.4Sakana Fugu-Ultra95.5
ReasoningQwen3.6 Plus62.0Margin→ 31.6Sakana Fugu-Ultra93.6
AgenticQwen3.6 Plus61.6Margin→ 20.5Sakana Fugu-Ultra82.1
MultimodalQwen3.6 Plus79.8Margin→ 6.8Sakana Fugu-Ultra86.6
CodingQwen3.6 Plus70.3Margin← 5.8Sakana Fugu-Ultra64.5
MathQwen3.6 Plus60.5MarginNo overlapSakana Fugu-UltraNot measured
MultilingualQwen3.6 Plus84.7MarginNo overlapSakana Fugu-UltraNot measured
Inst. FollowingQwen3.6 Plus82.3MarginNo overlapSakana Fugu-UltraNot measured

Decisive benchmark drivers

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

More
A · Qwen3.6 PlusB · Sakana Fugu-Ultra

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 61.6%B 82.1%
    Winner: Sakana Fugu-UltraΔ 20.5
    Terminal-Bench 2.0: Qwen3.6 Plus scored 61.6%; Sakana Fugu-Ultra scored 82.1%. Sakana Fugu-Ultra wins this benchmark.

  2. SWE-bench Pro

    Coding
    Source ↗
    A 56.6%B 73.7%
    Winner: Sakana Fugu-UltraΔ 17.1
    SWE-bench Pro: Qwen3.6 Plus scored 56.6%; Sakana Fugu-Ultra scored 73.7%. Sakana Fugu-Ultra wins this benchmark.

  3. GPQA

    Knowledge
    Source ↗
    A 90.4%B 95.5%
    Winner: Sakana Fugu-UltraΔ 5.1
    GPQA: Qwen3.6 Plus scored 90.4%; Sakana Fugu-Ultra scored 95.5%. Sakana Fugu-Ultra wins this benchmark.

  4. CharXiv

    Multimodal
    Source ↗
    A 81.5%B 86.6%
    Winner: Sakana Fugu-UltraΔ 5.1
    CharXiv: Qwen3.6 Plus scored 81.5%; 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.

MetricQwen3.6 PlusSakana Fugu-UltraComparison
Input / output priceUSD per 1M tokensQwen3.6 PlusNot availableSakana Fugu-UltraNot availableA complete price comparison is not available.
Generation speedtokens per secondQwen3.6 PlusNot availableSakana Fugu-UltraNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.6 PlusNot availableSakana Fugu-UltraNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.6 Plus1MSakana Fugu-Ultra1MListed context windows are equal.

Benchmark Deep Dive

AgenticSakana Fugu-Ultra wins
BenchmarkQwen3.6 PlusSakana Fugu-UltraResult
Terminal-Bench 2.0Source 61.6%82.1%Sakana Fugu-Ultra leads
Claw-EvalSource 58.8%—Not comparable
QwenClawBenchSource 57.2%—Not comparable
τ³-bench resultsSource 70.7%—Not comparable
VITA-BenchSource 44.3%—Not comparable
DeepPlanningSource 41.5%—Not comparable
ToolathlonSource 39.8%—Not comparable
MCP AtlasSource 48.2%—Not comparable
MCP-TasksSource 74.1%—Not comparable
WideResearchSource 74.3%—Not comparable
AA Agentic IndexSource 27.6%—Not comparable
τ²-bench resultsSource 97.7%—Not comparable
GDPval-AASource 31.8%—Not comparable
GDPval-AASource 1135—Not comparable
Gert LabsSource 50.60%—Not comparable
ResearchClawBenchSource 18.0%—Not comparable
CodingQwen3.6 Plus wins
BenchmarkQwen3.6 PlusSakana Fugu-UltraResult
SWE-bench VerifiedSource 78.8%—Not comparable
SWE-bench ProSource 56.6%73.7%Sakana Fugu-Ultra leads
SWE MultilingualSource 73.8%—Not comparable
LiveCodeBench v6Source 87.1%93.2%Sakana Fugu-Ultra leads
Vibe Code BenchSource 25.56%—Not comparable
AA Coding IndexSource 54.5%—Not comparable
AA-SciCodeSource 40.7%—Not comparable
Terminal-Bench 2.0Source —82.1%Not comparable
LiveCodeBench ProSource —90.8%Not comparable
SciCodeSource —58.7%Not comparable
ReasoningSakana Fugu-Ultra wins
BenchmarkQwen3.6 PlusSakana Fugu-UltraResult
AI-NeedleSource 68.3%—Not comparable
LongBench v2Source 62%—Not comparable
AA-LCRSource 69.7%—Not comparable
CritPtSource 2.9%—Not comparable
MRCRv2Source —93.6%Not comparable
KnowledgeSakana Fugu-Ultra wins
BenchmarkQwen3.6 PlusSakana Fugu-UltraResult
GPQASource 90.4%95.5%Sakana Fugu-Ultra leads
SuperGPQASource 71.6%—Not comparable
MMLU-ProSource 88.5%—Not comparable
MMLU-ReduxSource 94.5%—Not comparable
C-EvalSource 93.3%—Not comparable
HLESource 28.8%—Not comparable
Artificial Analysis Intelligence IndexSource 39.6%—Not comparable
AA-GPQA DiamondSource 88.2%—Not comparable
AA-HLESource 25.7%—Not comparable
AA-Omniscience IndexSource 2.7%—Not comparable
AA-Omniscience AccuracySource 26.2%—Not comparable
AA-Omniscience Hallucination RateSource 32.0%—Not comparable
GPQA-DSource —95.5%Not comparable
HLE w/o toolsSource —50%Not comparable
Math
BenchmarkQwen3.6 PlusSakana Fugu-UltraResult
AIME26Source 95.3%—Not comparable
HMMT Feb 2025Source 96.7%—Not comparable
HMMT Nov 2025Source 94.6%—Not comparable
HMMT Feb 2026Source 87.8%—Not comparable
MMAnswerBenchSource 83.8%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 26.207%—Not comparable
FrontierMath v2 (Tier 4)Source 8.333%—Not comparable
Multilingual
BenchmarkQwen3.6 PlusSakana Fugu-UltraResult
MMLU-ProXSource 84.7%—Not comparable
NOVA-63Source 57.9%—Not comparable
MultimodalSakana Fugu-Ultra wins
BenchmarkQwen3.6 PlusSakana Fugu-UltraResult
MMMUSource 86.0%—Not comparable
MMMU-ProSource 78.8%—Not comparable
MathVisionSource 88.0%—Not comparable
VideoMMMUSource 84.0%—Not comparable
ScreenSpot ProSource 68.2%—Not comparable
CharXivSource 81.5%86.6%Sakana Fugu-Ultra leads
V*Source 96.9%—Not comparable
AA-MMMU-ProSource 78.0%—Not comparable
Design Arena WebsiteSource 1249—Not comparable
Inst. Following
BenchmarkQwen3.6 PlusSakana Fugu-UltraResult
IFEvalSource 94.3%—Not comparable
IFBenchSource 75.8%—Not comparable
AA-IFBenchSource 75.2%—Not comparable
Frequently Asked Questions (6)

Which is better, Qwen3.6 Plus or Sakana Fugu-Ultra?

Qwen3.6 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, Qwen3.6 Plus or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 57.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for coding, Qwen3.6 Plus or Sakana Fugu-Ultra?

Qwen3.6 Plus has the edge for coding in this comparison, averaging 70.3 versus 64.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for reasoning, Qwen3.6 Plus or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for reasoning in this comparison, averaging 93.6 versus 62. Qwen3.6 Plus stays close enough that the answer can still flip depending on your workload.

Which is better for agentic tasks, Qwen3.6 Plus or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 61.6. 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, Qwen3.6 Plus or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for multimodal and grounded tasks in this comparison, averaging 86.6 versus 79.8. Inside this category, CharXiv is the benchmark that creates the most daylight between them.

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