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Model comparison

GPT-4.1 nano 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.
42.06/100
No comparison
Sakana AI
N/A
0 category wins0 category wins

Public leaderboard positions: GPT-4.1 nano #161 (Estimated); Fugu Cyber unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4.1 nano and Fugu Cyber share 0 comparable benchmark results. 0 of 8 categories are comparable. 21 results are unique to GPT-4.1 nano; 2 to Fugu Cyber.

Updated July 21, 2026
Shared results
0
GPT-4.1 nano only
21
Fugu Cyber only
2
Comparable categories
0 / 8

Benchmark data for GPT-4.1 nano 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.

Fugu Cyber is priced at $6.00 input / $36.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano.

Operational comparison

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

MetricGPT-4.1 nanoFugu CyberComparison
Input / output priceUSD per 1M tokensGPT-4.1 nano$0.1 input / $0.4 outputFugu Cyber$6 input / $36 outputGPT-4.1 nano has the lower combined listed price.
Generation speedtokens per secondGPT-4.1 nano181 tok/sFugu CyberNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-4.1 nano0.63 sFugu CyberNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-4.1 nano1MFugu Cyber1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4.1 nanoFugu CyberResult
AA Agentic IndexSource 1.2%Not comparable
τ²-bench resultsSource 17.3%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource 41Not comparable
CyberGymSource 86.9%Not comparable
CTI-REALMSource 72.1%Not comparable
Coding
BenchmarkGPT-4.1 nanoFugu CyberResult
AA Coding IndexSource 11.1%Not comparable
AA-SciCodeSource 25.9%Not comparable
Reasoning
BenchmarkGPT-4.1 nanoFugu CyberResult
AA-LCRSource 17.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGPT-4.1 nanoFugu CyberResult
MMLUSource 80.1%Not comparable
GPQASource 50.3%Not comparable
Artificial Analysis Intelligence IndexSource 9.6%Not comparable
AA-GPQA DiamondSource 51.2%Not comparable
AA-HLESource 3.9%Not comparable
AA-Omniscience IndexSource -56.4%Not comparable
AA-Omniscience AccuracySource 13.3%Not comparable
AA-Omniscience Hallucination RateSource 80.4%Not comparable
Math
BenchmarkGPT-4.1 nanoFugu CyberResult
FrontierMath v2 (Tiers 1-3)Source 1.034%Not comparable
Multimodal
BenchmarkGPT-4.1 nanoFugu CyberResult
AA-MMMU-ProSource 40.1%Not comparable
Design Arena WebsiteSource 1003Not comparable
Inst. Following
BenchmarkGPT-4.1 nanoFugu CyberResult
IFEvalSource 83.2%Not comparable
AA-IFBenchSource 32.0%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-4.1 nano 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 GPT-4.1 nano and Fugu Cyber today?

GPT-4.1 nano: $0.10 input / $0.40 output per 1M tokens 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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