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Model comparison

GPT-5.1 vs GPT-5.2-Codex

Data verified

Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
53.65/100
Margin
5.5pts
winning →
59.1/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.1 #94 (Estimated); GPT-5.2-Codex #58 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.1 and GPT-5.2-Codex share 14 comparable benchmark results. 0 of 8 categories are comparable. 7 results are unique to GPT-5.1; 1 to GPT-5.2-Codex.

Updated July 20, 2026
Shared results
14
GPT-5.1 only
7
GPT-5.2-Codex only
1
Comparable categories
0 / 8

Benchmark data for GPT-5.1 and GPT-5.2-Codex is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 14 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-5.2-Codex is priced at $1.75 input / $14.00 output per 1M tokens, versus $1.25 input / $10.00 output per 1M tokens for GPT-5.1. GPT-5.2-Codex has the larger context window at 400K, compared with 200K for GPT-5.1.

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-5.1 and GPT-5.2-Codex
CategoryGPT-5.1ΔGPT-5.2-Codex
MathGPT-5.126.4MarginNo overlapGPT-5.2-CodexNot measured

Operational comparison

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

MetricGPT-5.1GPT-5.2-CodexComparison
Input / output priceUSD per 1M tokensGPT-5.1$1.25 input / $10 outputGPT-5.2-Codex$1.75 input / $14 outputGPT-5.1 has the lower combined listed price.
Generation speedtokens per secondGPT-5.1111 tok/sGPT-5.2-Codex123 tok/sGPT-5.2-Codex has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-5.157.47 sGPT-5.2-Codex87.34 sGPT-5.1 reaches the first token sooner.
Context windowmaximum listed tokensGPT-5.1200KGPT-5.2-Codex400KGPT-5.2-Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.1GPT-5.2-CodexResult
AA Agentic IndexSource 21.0%Not comparable
τ²-bench resultsSource 81.9%92.1%GPT-5.2-Codex leads
Gert LabsSource 41.24%51.79%GPT-5.2-Codex leads
GDPval-AASource 24.4%Not comparable
GDPval-AASource 987Not comparable
JobBenchSource 26.0%Not comparable
Coding
BenchmarkGPT-5.1GPT-5.2-CodexResult
Vibe Code BenchSource 24.61%37.91%GPT-5.2-Codex leads
AA Coding IndexSource 49.4%Not comparable
AA-SciCodeSource 43.3%54.6%GPT-5.2-Codex leads
Reasoning
BenchmarkGPT-5.1GPT-5.2-CodexResult
AA-LCRSource 75.0%75.7%GPT-5.2-Codex leads
CritPtSource 4.9%8.7%GPT-5.2-Codex leads
Knowledge
BenchmarkGPT-5.1GPT-5.2-CodexResult
Artificial Analysis Intelligence IndexSource 36.9%40.1%GPT-5.2-Codex leads
AA-GPQA DiamondSource 87.3%89.9%GPT-5.2-Codex leads
AA-HLESource 26.5%33.5%GPT-5.2-Codex leads
AA-Omniscience IndexSource 5.6%-2.5%GPT-5.1 leads
AA-Omniscience AccuracySource 37.6%40.7%GPT-5.2-Codex leads
AA-Omniscience Hallucination RateSource 51.3%72.8%GPT-5.1 leads
Math
BenchmarkGPT-5.1GPT-5.2-CodexResult
FrontierMath v2 (Tiers 1-3)Source 31.034%Not comparable
FrontierMath v2 (Tier 4)Source 12.500%Not comparable
Multimodal
BenchmarkGPT-5.1GPT-5.2-CodexResult
AA-MMMU-ProSource 75.5%76.3%GPT-5.2-Codex leads
Design Arena WebsiteSource 1220Not comparable
Inst. Following
BenchmarkGPT-5.1GPT-5.2-CodexResult
AA-IFBenchSource 72.9%77.6%GPT-5.2-Codex leads
Frequently Asked Questions (3)

Can I compare GPT-5.1 and GPT-5.2-Codex 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 and GPT-5.2-Codex today?

GPT-5.1: $1.25 input / $10.00 output per 1M tokens GPT-5.2-Codex: $1.75 input / $14.00 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 20, 2026

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