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Model comparison

GPT-5.1-Codex-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.
54.48/100
No comparison
Sakana AI
N/A
0 category wins0 category wins

Public leaderboard positions: GPT-5.1-Codex-Max #90 (Estimated); Fugu Cyber unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.1-Codex-Max and Fugu Cyber share 0 comparable benchmark results. 0 of 8 categories are comparable. 13 results are unique to GPT-5.1-Codex-Max; 2 to Fugu Cyber.

Updated July 21, 2026
Shared results
0
GPT-5.1-Codex-Max only
13
Fugu Cyber only
2
Comparable categories
0 / 8

Benchmark data for GPT-5.1-Codex-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.

Fugu Cyber is priced at $6.00 input / $36.00 output per 1M tokens, versus $1.25 input / $10.00 output per 1M tokens for GPT-5.1-Codex-Max. Fugu Cyber has the larger context window at 1M, compared with 400K for GPT-5.1-Codex-Max.

Operational comparison

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

MetricGPT-5.1-Codex-MaxFugu CyberComparison
Input / output priceUSD per 1M tokensGPT-5.1-Codex-Max$1.25 input / $10 outputFugu Cyber$6 input / $36 outputGPT-5.1-Codex-Max has the lower combined listed price.
Generation speedtokens per secondGPT-5.1-Codex-MaxNot availableFugu CyberNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.1-Codex-MaxNot availableFugu CyberNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.1-Codex-Max400KFugu Cyber1MFugu Cyber lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.1-Codex-MaxFugu CyberResult
τ²-bench resultsSource 83%Not comparable
CyberGymSource 86.9%Not comparable
CTI-REALMSource 72.1%Not comparable
Coding
BenchmarkGPT-5.1-Codex-MaxFugu CyberResult
Vibe Code BenchSource 22.17%Not comparable
AA-SciCodeSource 40.2%Not comparable
Reasoning
BenchmarkGPT-5.1-Codex-MaxFugu CyberResult
AA-LCRSource 67.3%Not comparable
CritPtSource 5.7%Not comparable
Knowledge
BenchmarkGPT-5.1-Codex-MaxFugu CyberResult
Artificial Analysis Intelligence IndexSource 34.7%Not comparable
AA-GPQA DiamondSource 86.0%Not comparable
AA-HLESource 23.4%Not comparable
AA-Omniscience IndexSource -6.0%Not comparable
AA-Omniscience AccuracySource 39.2%Not comparable
AA-Omniscience Hallucination RateSource 74.4%Not comparable
Multimodal
BenchmarkGPT-5.1-Codex-MaxFugu CyberResult
AA-MMMU-ProSource 72.5%Not comparable
Inst. Following
BenchmarkGPT-5.1-Codex-MaxFugu CyberResult
AA-IFBenchSource 70.0%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5.1-Codex-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 GPT-5.1-Codex-Max and Fugu Cyber today?

GPT-5.1-Codex-Max: $1.25 input / $10.00 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.

Related Comparisons

Last updated: July 21, 2026

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