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Model comparison

Qwen3.5-27B vs Sakana Fugu-Ultra

Data verified

Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

60.7/100
No comparison
N/A
1 category wins3 category wins

Public leaderboard positions: Qwen3.5-27B #45 (Supported); Sakana Fugu-Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.5-27B and Sakana Fugu-Ultra share 2 comparable benchmark results. 4 of 8 categories are comparable. 26 results are unique to Qwen3.5-27B; 9 to Sakana Fugu-Ultra.

Updated July 23, 2026
Shared results
2
Qwen3.5-27B only
26
Sakana Fugu-Ultra only
9
Comparable categories
4 / 8

Treat this as a split decision. Qwen3.5-27B 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 2 shared benchmark results across 2 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

Qwen3.5-27B 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 Qwen3.5-27B.

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 Qwen3.5-27B and Sakana Fugu-Ultra
CategoryQwen3.5-27BΔSakana Fugu-Ultra
ReasoningQwen3.5-27B60.6Margin→ 33.0Sakana Fugu-Ultra93.6
AgenticQwen3.5-27B52.0Margin→ 30.1Sakana Fugu-Ultra82.1
KnowledgeQwen3.5-27B82.7Margin→ 12.8Sakana Fugu-Ultra95.5
CodingQwen3.5-27B64.9Margin← 0.4Sakana Fugu-Ultra64.5
MultilingualQwen3.5-27B82.2MarginNo overlapSakana Fugu-UltraNot measured
MultimodalQwen3.5-27BNot measuredMarginNo overlapSakana Fugu-Ultra86.6
Inst. FollowingQwen3.5-27B95.0MarginNo overlapSakana Fugu-UltraNot measured

Decisive benchmark drivers

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

More
A · Qwen3.5-27BB · Sakana Fugu-Ultra

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 41.6%B 82.1%
    Winner: Sakana Fugu-UltraΔ 40.5
    Terminal-Bench 2.0: Qwen3.5-27B scored 41.6%; Sakana Fugu-Ultra scored 82.1%. Sakana Fugu-Ultra wins this benchmark.

  2. GPQA

    Knowledge
    Source ↗
    A 85.5%B 95.5%
    Winner: Sakana Fugu-UltraΔ 10
    GPQA: Qwen3.5-27B scored 85.5%; 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.

MetricQwen3.5-27BSakana Fugu-UltraComparison
Input / output priceUSD per 1M tokensQwen3.5-27B$0 input / $0 outputSakana Fugu-UltraNot availableA complete price comparison is not available.
Generation speedtokens per secondQwen3.5-27BNot availableSakana Fugu-UltraNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.5-27BNot availableSakana Fugu-UltraNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.5-27B262KSakana Fugu-Ultra1MSakana Fugu-Ultra lists the larger context window.

Benchmark Deep Dive

AgenticSakana Fugu-Ultra wins
BenchmarkQwen3.5-27BSakana Fugu-UltraResult
Terminal-Bench 2.0Source 41.6%82.1%Sakana Fugu-Ultra leads
BrowseCompSource 61%—Not comparable
OSWorld-VerifiedSource 56.2%—Not comparable
τ²-bench resultsSource 93.9%—Not comparable
Gert LabsSource 39.41%—Not comparable
CodingQwen3.5-27B wins
BenchmarkQwen3.5-27BSakana Fugu-UltraResult
SWE-bench VerifiedSource 72.4%—Not comparable
SWE-RebenchSource 58.9%—Not comparable
AA-SciCodeSource 39.5%—Not comparable
SWE-bench ProSource —73.7%Not comparable
Terminal-Bench 2.0Source —82.1%Not comparable
LiveCodeBench v6Source —93.2%Not comparable
LiveCodeBench ProSource —90.8%Not comparable
SciCodeSource —58.7%Not comparable
ReasoningSakana Fugu-Ultra wins
BenchmarkQwen3.5-27BSakana Fugu-UltraResult
LongBench v2Source 60.6%—Not comparable
AA-LCRSource 67.3%—Not comparable
CritPtSource 0.9%—Not comparable
MRCRv2Source —93.6%Not comparable
KnowledgeSakana Fugu-Ultra wins
BenchmarkQwen3.5-27BSakana Fugu-UltraResult
MMLU-ProSource 86.1%—Not comparable
SuperGPQASource 65.6%—Not comparable
GPQASource 85.5%95.5%Sakana Fugu-Ultra leads
Artificial Analysis Intelligence IndexSource 33.8%—Not comparable
AA-GPQA DiamondSource 85.8%—Not comparable
AA-HLESource 22.2%—Not comparable
AA-Omniscience IndexSource -42.0%—Not comparable
AA-Omniscience AccuracySource 21.0%—Not comparable
AA-Omniscience Hallucination RateSource 79.7%—Not comparable
GPQA-DSource —95.5%Not comparable
HLE w/o toolsSource —50%Not comparable
Multilingual
BenchmarkQwen3.5-27BSakana Fugu-UltraResult
MMLU-ProXSource 82.2%—Not comparable
Multimodal
BenchmarkQwen3.5-27BSakana Fugu-UltraResult
MMMUSource 82.3%—Not comparable
MMVUSource 73.3%—Not comparable
MathVisionSource 86.0%—Not comparable
V*Source 93.7%—Not comparable
AA-MMMU-ProSource 75.0%—Not comparable
CharXivSource —86.6%Not comparable
Inst. Following
BenchmarkQwen3.5-27BSakana Fugu-UltraResult
IFEvalSource 95%—Not comparable
AA-IFBenchSource 75.6%—Not comparable
Frequently Asked Questions (5)

Which is better, Qwen3.5-27B or Sakana Fugu-Ultra?

Qwen3.5-27B 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, Qwen3.5-27B or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 82.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for coding, Qwen3.5-27B or Sakana Fugu-Ultra?

Qwen3.5-27B has the edge for coding in this comparison, averaging 64.9 versus 64.5. Sakana Fugu-Ultra stays close enough that the answer can still flip depending on your workload.

Which is better for reasoning, Qwen3.5-27B or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for reasoning in this comparison, averaging 93.6 versus 60.6. Qwen3.5-27B stays close enough that the answer can still flip depending on your workload.

Which is better for agentic tasks, Qwen3.5-27B or Sakana Fugu-Ultra?

Sakana Fugu-Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 52. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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