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Model comparison

GPT-5.2-Codex vs Nova Pro

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.

59.1/100
Margin
38.8pts
← winning
Amazon
20.32/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.2-Codex #58 (Supported); Nova Pro #196 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.2-Codex and Nova Pro share 12 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to GPT-5.2-Codex; 0 to Nova Pro.

Updated July 20, 2026
Shared results
12
GPT-5.2-Codex only
3
Nova Pro only
0
Comparable categories
0 / 8

Benchmark data for GPT-5.2-Codex and Nova Pro 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-5.2-Codex has the larger context window at 400K, compared with 128K for Nova Pro.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Operational comparison

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

MetricGPT-5.2-CodexNova ProComparison
Input / output priceUSD per 1M tokensGPT-5.2-Codex$1.75 input / $14 outputNova ProNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5.2-Codex123 tok/sNova Pro141 tok/sNova Pro has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-5.2-Codex87.34 sNova Pro0.81 sNova Pro reaches the first token sooner.
Context windowmaximum listed tokensGPT-5.2-Codex400KNova Pro128KGPT-5.2-Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.2-CodexNova ProResult
τ²-bench resultsSource 92.1%14%GPT-5.2-Codex leads
Gert LabsSource 51.79%Not comparable
JobBenchSource 26.0%Not comparable
Coding
BenchmarkGPT-5.2-CodexNova ProResult
Vibe Code BenchSource 37.91%Not comparable
AA-SciCodeSource 54.6%20.8%GPT-5.2-Codex leads
Reasoning
BenchmarkGPT-5.2-CodexNova ProResult
AA-LCRSource 75.7%19.0%GPT-5.2-Codex leads
CritPtSource 8.7%0.0%GPT-5.2-Codex leads
Knowledge
BenchmarkGPT-5.2-CodexNova ProResult
Artificial Analysis Intelligence IndexSource 40.1%7.7%GPT-5.2-Codex leads
AA-GPQA DiamondSource 89.9%49.9%GPT-5.2-Codex leads
AA-HLESource 33.5%3.4%GPT-5.2-Codex leads
AA-Omniscience IndexSource -2.5%-47.6%GPT-5.2-Codex leads
AA-Omniscience AccuracySource 40.7%17.0%GPT-5.2-Codex leads
AA-Omniscience Hallucination RateSource 72.8%77.9%GPT-5.2-Codex leads
Multimodal
BenchmarkGPT-5.2-CodexNova ProResult
AA-MMMU-ProSource 76.3%44.3%GPT-5.2-Codex leads
Inst. Following
BenchmarkGPT-5.2-CodexNova ProResult
AA-IFBenchSource 77.6%38.1%GPT-5.2-Codex leads
Frequently Asked Questions (3)

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

GPT-5.2-Codex: $1.75 input / $14.00 output per 1M tokens Nova Pro: Pricing unavailable 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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