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Model comparison

GPT-5.2 vs GPT-5.2-Codex

Data verified

Head-to-head evidence from 14 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
58.43/100
Margin
0.7pts
winning →
59.1/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.2 #64 (Estimated); GPT-5.2-Codex #58 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

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

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

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

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 5 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.

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-5.2 and GPT-5.2-Codex
CategoryGPT-5.2ΔGPT-5.2-Codex
AgenticGPT-5.255.7MarginNo overlapGPT-5.2-CodexNot measured
CodingGPT-5.270.6MarginNo overlapGPT-5.2-CodexNot measured
ReasoningGPT-5.252.9MarginNo overlapGPT-5.2-CodexNot measured
KnowledgeGPT-5.292.4MarginNo overlapGPT-5.2-CodexNot measured
MathGPT-5.235.2MarginNo overlapGPT-5.2-CodexNot measured
MultimodalGPT-5.280.4MarginNo overlapGPT-5.2-CodexNot measured

Operational comparison

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

MetricGPT-5.2GPT-5.2-CodexComparison
Input / output priceUSD per 1M tokensGPT-5.2$1.75 input / $14 outputGPT-5.2-Codex$1.75 input / $14 outputListed prices are equal.
Generation speedtokens per secondGPT-5.273 tok/sGPT-5.2-Codex123 tok/sGPT-5.2-Codex has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-5.2130.34 sGPT-5.2-Codex87.34 sGPT-5.2-Codex reaches the first token sooner.
Context windowmaximum listed tokensGPT-5.2400KGPT-5.2-Codex400KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.2GPT-5.2-CodexResult
BrowseCompSource 65.8%Not comparable
OSWorld-VerifiedSource 47.3%Not comparable
τ²-bench resultsSource 84.8%92.1%GPT-5.2-Codex leads
Gert LabsSource 46.54%51.79%GPT-5.2-Codex leads
JobBenchSource 34.3%26.0%GPT-5.2 leads
Coding
BenchmarkGPT-5.2GPT-5.2-CodexResult
SWE-bench VerifiedSource 80%Not comparable
SWE-bench ProSource 55.6%Not comparable
Vibe Code BenchSource 53.50%37.91%GPT-5.2 leads
AA-SciCodeSource 52.1%54.6%GPT-5.2-Codex leads
Reasoning
BenchmarkGPT-5.2GPT-5.2-CodexResult
ARC-AGI-2Source 52.9%Not comparable
AA-LCRSource 72.7%75.7%GPT-5.2-Codex leads
CritPtSource 11.6%8.7%GPT-5.2 leads
Knowledge
BenchmarkGPT-5.2GPT-5.2-CodexResult
GPQASource 92.4%Not comparable
Artificial Analysis Intelligence IndexSource 42.2%40.1%GPT-5.2 leads
AA-GPQA DiamondSource 90.3%89.9%GPT-5.2 leads
AA-HLESource 35.4%33.5%GPT-5.2 leads
AA-Omniscience IndexSource -1.0%-2.5%GPT-5.2 leads
AA-Omniscience AccuracySource 43.8%40.7%GPT-5.2 leads
AA-Omniscience Hallucination RateSource 79.7%72.8%GPT-5.2-Codex leads
Math
BenchmarkGPT-5.2GPT-5.2-CodexResult
AA AIME 2025Source 99.0%Not comparable
FrontierMath v2 (Tiers 1-3)Source 40.700%Not comparable
FrontierMath v2 (Tier 4)Source 18.800%Not comparable
Multimodal
BenchmarkGPT-5.2GPT-5.2-CodexResult
MMMU-ProSource 79.5%Not comparable
MathVisionSource 83.0%Not comparable
CharXivSource 82.1%Not comparable
V*Source 75.9%Not comparable
Design Arena WebsiteSource 1227Not comparable
AA-MMMU-ProSource 76.3%Not comparable
Inst. Following
BenchmarkGPT-5.2GPT-5.2-CodexResult
AA-IFBenchSource 75.4%77.6%GPT-5.2-Codex leads
Frequently Asked Questions (3)

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

GPT-5.2: $1.75 input / $14.00 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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