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Model comparison

Qwen3.7 Max vs Fugu Cyber

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
72.84/100
No comparison
Sakana AI
N/A
0 category wins0 category wins

Public leaderboard positions: Qwen3.7 Max #10 (Supported); Fugu Cyber unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.7 Max and Fugu Cyber share 0 comparable benchmark results. 0 of 8 categories are comparable. 58 results are unique to Qwen3.7 Max; 2 to Fugu Cyber.

Updated July 21, 2026
Shared results
0
Qwen3.7 Max only
58
Fugu Cyber only
2
Comparable categories
0 / 8

Benchmark data for Qwen3.7 Max and Fugu Cyber is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Operational comparison

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

MetricQwen3.7 MaxFugu CyberComparison
Input / output priceUSD per 1M tokensQwen3.7 MaxNot availableFugu Cyber$6 input / $36 outputA complete price comparison is not available.
Generation speedtokens per secondQwen3.7 MaxNot availableFugu CyberNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.7 MaxNot availableFugu CyberNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.7 Max1MFugu Cyber1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkQwen3.7 MaxFugu CyberResult
Terminal-Bench 2.0Source 69.7%Not comparable
QwenClawBenchSource 64.3%Not comparable
QwenWebBenchSource 1568Not 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 1273Not comparable
Gert LabsSource 64.27%Not comparable
ResearchClawBenchSource 18.7%Not comparable
AA BriefcaseSource 908Not 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
CyberGymSource 86.9%Not comparable
CTI-REALMSource 72.1%Not comparable
Coding
BenchmarkQwen3.7 MaxFugu CyberResult
SWE-bench VerifiedSource 80.4%Not comparable
SWE-bench ProSource 60.6%Not comparable
SWE MultilingualSource 78.3%Not comparable
NL2RepoSource 47.2%Not comparable
SciCodeSource 53.5%Not comparable
LiveCodeBenchSource 91.6%Not comparable
Terminal-Bench 2.0Source 69.7%Not comparable
AA Coding IndexSource 66.0%Not comparable
AA-SciCodeSource 48.8%Not comparable
Reasoning
BenchmarkQwen3.7 MaxFugu CyberResult
MRCRv2Source 90.4%Not comparable
CritPtSource 13.4%Not comparable
AA-LCRSource 69.0%Not comparable
Knowledge
BenchmarkQwen3.7 MaxFugu CyberResult
GPQASource 92.4%Not comparable
GPQA-DSource 92.4%Not comparable
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
Math
BenchmarkQwen3.7 MaxFugu CyberResult
HMMT Feb 2026Source 97.1%Not comparable
IMOAnswerBenchSource 90.0%Not comparable
ApexSource 44.5%Not comparable
Multilingual
BenchmarkQwen3.7 MaxFugu CyberResult
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 MaxFugu CyberResult
Design Arena WebsiteSource 1293Not comparable
Inst. Following
BenchmarkQwen3.7 MaxFugu CyberResult
IFEvalSource 94.3%Not comparable
IFBenchSource 79.1%Not comparable
AA-IFBenchSource 80.5%Not comparable
Frequently Asked Questions (3)

Can I compare Qwen3.7 Max and Fugu Cyber on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Qwen3.7 Max and Fugu Cyber today?

Qwen3.7 Max: Pricing unavailable Fugu Cyber: $6.00 input / $36.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 21, 2026

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