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Model comparison

GPT-4.1 nano vs GPT-5.4 Pro

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.

42.06/100
Margin
18.8pts
winning →
60.89/100
0 category wins2 category wins

Public leaderboard positions: GPT-4.1 nano #161 (Estimated); GPT-5.4 Pro #44 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4.1 nano and GPT-5.4 Pro share 2 comparable benchmark results. 2 of 8 categories are comparable. 19 results are unique to GPT-4.1 nano; 10 to GPT-5.4 Pro.

Updated July 23, 2026
Shared results
2
GPT-4.1 nano only
19
GPT-5.4 Pro only
10
Comparable categories
2 / 8

Pick GPT-5.4 Pro if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.4 Pro is clearly ahead on the BenchAlign aggregate, 60.89 to 42.06. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.4 Pro's sharpest advantage is in mathematics, where it averages 46.9 against 1. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 1.034% to 50.000%.

GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano. That is roughly 450.0x on output cost alone. GPT-5.4 Pro is the reasoning model in the pair, while GPT-4.1 nano is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 1M for GPT-4.1 nano.

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 GPT-4.1 nano and GPT-5.4 Pro
CategoryGPT-4.1 nanoΔGPT-5.4 Pro
MathGPT-4.1 nano1.0Margin 45.9GPT-5.4 Pro46.9
KnowledgeGPT-4.1 nano50.3Margin 8.4GPT-5.4 Pro58.7
AgenticGPT-4.1 nanoNot measuredMarginNo overlapGPT-5.4 Pro89.3
ReasoningGPT-4.1 nanoNot measuredMarginNo overlapGPT-5.4 Pro83.3
MultimodalGPT-4.1 nanoNot measuredMarginNo overlapGPT-5.4 Pro94.0
Inst. FollowingGPT-4.1 nano83.2MarginNo overlapGPT-5.4 ProNot measured

Decisive benchmark drivers

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

More
A · GPT-4.1 nanoB · GPT-5.4 Pro
  1. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 1.034%B 50.000%
    Winner: GPT-5.4 ProΔ 49
    FrontierMath v2 (Tiers 1-3): GPT-4.1 nano scored 1.034%; GPT-5.4 Pro scored 50.000%. GPT-5.4 Pro wins this benchmark.

Operational comparison

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

MetricGPT-4.1 nanoGPT-5.4 ProComparison
Input / output priceUSD per 1M tokensGPT-4.1 nano$0.1 input / $0.4 outputGPT-5.4 Pro$30 input / $180 outputGPT-4.1 nano has the lower combined listed price.
Generation speedtokens per secondGPT-4.1 nano181 tok/sGPT-5.4 Pro74 tok/sGPT-4.1 nano has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-4.1 nano0.63 sGPT-5.4 Pro151.79 sGPT-4.1 nano reaches the first token sooner.
Context windowmaximum listed tokensGPT-4.1 nano1MGPT-5.4 Pro1.05MGPT-5.4 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4.1 nanoGPT-5.4 ProResult
AA Agentic IndexSource 1.2%Not comparable
τ²-bench resultsSource 17.3%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource 41Not comparable
BrowseCompSource 89.3%Not comparable
Coding
BenchmarkGPT-4.1 nanoGPT-5.4 ProResult
AA Coding IndexSource 11.1%Not comparable
AA-SciCodeSource 25.9%Not comparable
Reasoning
BenchmarkGPT-4.1 nanoGPT-5.4 ProResult
AA-LCRSource 17.0%Not comparable
CritPtSource 0.0%30.0%GPT-5.4 Pro leads
ARC-AGI-2Source 83.3%Not comparable
KnowledgeGPT-5.4 Pro wins
BenchmarkGPT-4.1 nanoGPT-5.4 ProResult
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
HLESource 58.7%Not comparable
FrontierScienceSource 36.7%Not comparable
FrontierScience ResearchSource 36.7%Not comparable
HLE w/o toolsSource 42.7%Not comparable
MathGPT-5.4 Pro wins
BenchmarkGPT-4.1 nanoGPT-5.4 ProResult
FrontierMath v2 (Tiers 1-3)Source 1.034%50.000%GPT-5.4 Pro leads
IPhO 2025 (Theory)Source 93.5%Not comparable
FrontierMath (legacy)Source 50%Not comparable
FrontierMath v2 (Tier 4)Source 37.500%Not comparable
Multimodal
BenchmarkGPT-4.1 nanoGPT-5.4 ProResult
AA-MMMU-ProSource 40.1%Not comparable
Design Arena WebsiteSource 1003Not comparable
MMMU-ProSource 94%Not comparable
Inst. Following
BenchmarkGPT-4.1 nanoGPT-5.4 ProResult
IFEvalSource 83.2%Not comparable
AA-IFBenchSource 32.0%Not comparable
Frequently Asked Questions (3)

Which is better, GPT-4.1 nano or GPT-5.4 Pro?

GPT-5.4 Pro is ahead on BenchLM's BenchAlign leaderboard, 60.89 to 42.06. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 1.034% and 50.000%.

Which is better for knowledge tasks, GPT-4.1 nano or GPT-5.4 Pro?

GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 58.7 versus 50.3. GPT-4.1 nano stays close enough that the answer can still flip depending on your workload.

Which is better for math, GPT-4.1 nano or GPT-5.4 Pro?

GPT-5.4 Pro has the edge for math in this comparison, averaging 46.9 versus 1. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.

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Last updated: July 23, 2026

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