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Model comparison

GPT-4.1 nano vs GPT-5.1-Codex-Max

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

41.14/100
Margin
12.6pts
winning →
53.72/100
0 category wins0 category wins

Public leaderboard positions: GPT-4.1 nano #170 (Estimated); GPT-5.1-Codex-Max #95 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4.1 nano and GPT-5.1-Codex-Max share 12 comparable benchmark results. 0 of 8 categories are comparable. 9 results are unique to GPT-4.1 nano; 1 to GPT-5.1-Codex-Max.

Updated July 24, 2026
Shared results
12
GPT-4.1 nano only
9
GPT-5.1-Codex-Max only
1
Comparable categories
0 / 8

Benchmark data for GPT-4.1 nano and GPT-5.1-Codex-Max is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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.

GPT-5.1-Codex-Max is priced at $1.25 input / $10.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano. GPT-4.1 nano has the larger context window at 1M, compared with 400K for GPT-5.1-Codex-Max.

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-5.1-Codex-Max
CategoryGPT-4.1 nanoΔGPT-5.1-Codex-Max
KnowledgeGPT-4.1 nano50.3MarginNo overlapGPT-5.1-Codex-MaxNot measured
MathGPT-4.1 nano1.0MarginNo overlapGPT-5.1-Codex-MaxNot measured
Inst. FollowingGPT-4.1 nano83.2MarginNo overlapGPT-5.1-Codex-MaxNot measured

Operational comparison

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

MetricGPT-4.1 nanoGPT-5.1-Codex-MaxComparison
Input / output priceUSD per 1M tokensGPT-4.1 nano$0.1 input / $0.4 outputGPT-5.1-Codex-Max$1.25 input / $10 outputGPT-4.1 nano has the lower combined listed price.
Generation speedtokens per secondGPT-4.1 nano181 tok/sGPT-5.1-Codex-MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-4.1 nano0.63 sGPT-5.1-Codex-MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-4.1 nano1MGPT-5.1-Codex-Max400KGPT-4.1 nano lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4.1 nanoGPT-5.1-Codex-MaxResult
AA Agentic IndexSource 1.2%Not comparable
τ²-bench resultsSource 17.3%83%GPT-5.1-Codex-Max leads
GDPval-AASource 0.0%Not comparable
GDPval-AASource 63Not comparable
Coding
BenchmarkGPT-4.1 nanoGPT-5.1-Codex-MaxResult
AA Coding IndexSource 11.1%Not comparable
AA-SciCodeSource 25.9%40.2%GPT-5.1-Codex-Max leads
Vibe Code BenchSource 22.17%Not comparable
Reasoning
BenchmarkGPT-4.1 nanoGPT-5.1-Codex-MaxResult
AA-LCRSource 17.0%67.3%GPT-5.1-Codex-Max leads
CritPtSource 0.0%5.7%GPT-5.1-Codex-Max leads
Knowledge
BenchmarkGPT-4.1 nanoGPT-5.1-Codex-MaxResult
MMLUSource 80.1%Not comparable
GPQASource 50.3%Not comparable
Artificial Analysis Intelligence IndexSource 9.6%34.7%GPT-5.1-Codex-Max leads
AA-GPQA DiamondSource 51.2%86.0%GPT-5.1-Codex-Max leads
AA-HLESource 3.9%23.4%GPT-5.1-Codex-Max leads
AA-Omniscience IndexSource -56.4%-6.0%GPT-5.1-Codex-Max leads
AA-Omniscience AccuracySource 13.3%39.2%GPT-5.1-Codex-Max leads
AA-Omniscience Hallucination RateSource 80.4%74.4%GPT-5.1-Codex-Max leads
Math
BenchmarkGPT-4.1 nanoGPT-5.1-Codex-MaxResult
FrontierMath v2 (Tiers 1-3)Source 1.034%Not comparable
Multimodal
BenchmarkGPT-4.1 nanoGPT-5.1-Codex-MaxResult
AA-MMMU-ProSource 40.1%72.5%GPT-5.1-Codex-Max leads
Design Arena WebsiteSource 1003Not comparable
Inst. Following
BenchmarkGPT-4.1 nanoGPT-5.1-Codex-MaxResult
IFEvalSource 83.2%Not comparable
AA-IFBenchSource 32.0%70.0%GPT-5.1-Codex-Max leads
Frequently Asked Questions (3)

Can I compare GPT-4.1 nano and GPT-5.1-Codex-Max 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 GPT-5.1-Codex-Max today?

GPT-4.1 nano: $0.10 input / $0.40 output per 1M tokens GPT-5.1-Codex-Max: $1.25 input / $10.00 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 24, 2026