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Model comparison

GPT-5.2 vs GPT-5 nano

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
OpenAI
57.63/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: GPT-5.2 #70 (Estimated); GPT-5 nano #146 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.2 and GPT-5 nano share 0 comparable benchmark results. 0 of 8 categories are comparable. 28 results are unique to GPT-5.2; 0 to GPT-5 nano.

Updated July 24, 2026
Shared results
0
GPT-5.2 only
28
GPT-5 nano only
0
Comparable categories
0 / 8

Benchmark data for GPT-5.2 and GPT-5 nano is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 does not have sourced benchmark coverage for GPT-5 nano yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GPT-5.2 is priced at $1.75 input / $14.00 output per 1M tokens, versus $0.05 input / $0.40 output per 1M tokens for GPT-5 nano.

Operational comparison

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

MetricGPT-5.2GPT-5 nanoComparison
Input / output priceUSD per 1M tokensGPT-5.2$1.75 input / $14 outputGPT-5 nano$0.05 input / $0.4 outputGPT-5 nano has the lower combined listed price.
Generation speedtokens per secondGPT-5.273 tok/sGPT-5 nano137 tok/sGPT-5 nano has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-5.2130.34 sGPT-5 nano83.30 sGPT-5 nano reaches the first token sooner.
Context windowmaximum listed tokensGPT-5.2400KGPT-5 nano400KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.2GPT-5 nanoResult
BrowseCompSource 65.8%Not comparable
OSWorld-VerifiedSource 47.3%Not comparable
τ²-bench resultsSource 84.8%Not comparable
Gert LabsSource 46.54%Not comparable
JobBenchSource 34.3%Not comparable
Coding
BenchmarkGPT-5.2GPT-5 nanoResult
SWE-bench VerifiedSource 80%Not comparable
SWE-bench ProSource 55.6%Not comparable
Vibe Code BenchSource 53.50%Not comparable
AA-SciCodeSource 52.1%Not comparable
Reasoning
BenchmarkGPT-5.2GPT-5 nanoResult
ARC-AGI-2Source 52.9%Not comparable
AA-LCRSource 72.7%Not comparable
CritPtSource 11.6%Not comparable
Knowledge
BenchmarkGPT-5.2GPT-5 nanoResult
GPQASource 92.4%Not comparable
Artificial Analysis Intelligence IndexSource 42.2%Not comparable
AA-GPQA DiamondSource 90.3%Not comparable
AA-HLESource 35.4%Not comparable
AA-Omniscience IndexSource -1.0%Not comparable
AA-Omniscience AccuracySource 43.8%Not comparable
AA-Omniscience Hallucination RateSource 79.7%Not comparable
Math
BenchmarkGPT-5.2GPT-5 nanoResult
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 nanoResult
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 1224Not comparable
Inst. Following
BenchmarkGPT-5.2GPT-5 nanoResult
AA-IFBenchSource 75.4%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5.2 and GPT-5 nano 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 nano today?

GPT-5.2: $1.75 input / $14.00 output per 1M tokens GPT-5 nano: $0.05 input / $0.40 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