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Model comparison

GPT-5.2-Codex vs GPT-5.5 Pro

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

59.1/100
Margin
4.6pts
winning →
63.69/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.2-Codex #58 (Supported); GPT-5.5 Pro #38 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.2-Codex and GPT-5.5 Pro share 1 comparable benchmark result. 0 of 8 categories are comparable. 14 results are unique to GPT-5.2-Codex; 6 to GPT-5.5 Pro.

Updated July 22, 2026
Shared results
1
GPT-5.2-Codex only
14
GPT-5.5 Pro only
6
Comparable categories
0 / 8

Benchmark data for GPT-5.2-Codex and GPT-5.5 Pro is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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-5.5 Pro is priced at $30.00 input / $180.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.2-Codex. GPT-5.5 Pro has the larger context window at 1M, compared with 400K for GPT-5.2-Codex.

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-Codex and GPT-5.5 Pro
CategoryGPT-5.2-CodexΔGPT-5.5 Pro
AgenticGPT-5.2-CodexNot measuredMarginNo overlapGPT-5.5 Pro90.1
KnowledgeGPT-5.2-CodexNot measuredMarginNo overlapGPT-5.5 Pro57.2
MathGPT-5.2-CodexNot measuredMarginNo overlapGPT-5.5 Pro48.1

Operational comparison

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

MetricGPT-5.2-CodexGPT-5.5 ProComparison
Input / output priceUSD per 1M tokensGPT-5.2-Codex$1.75 input / $14 outputGPT-5.5 Pro$30 input / $180 outputGPT-5.2-Codex has the lower combined listed price.
Generation speedtokens per secondGPT-5.2-Codex123 tok/sGPT-5.5 ProNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.2-Codex87.34 sGPT-5.5 ProNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.2-Codex400KGPT-5.5 Pro1MGPT-5.5 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.2-CodexGPT-5.5 ProResult
τ²-bench resultsSource 92.1%Not comparable
Gert LabsSource 51.79%Not comparable
JobBenchSource 26.0%Not comparable
BrowseCompSource 90.1%Not comparable
Coding
BenchmarkGPT-5.2-CodexGPT-5.5 ProResult
Vibe Code BenchSource 37.91%Not comparable
AA-SciCodeSource 54.6%Not comparable
Reasoning
BenchmarkGPT-5.2-CodexGPT-5.5 ProResult
AA-LCRSource 75.7%Not comparable
CritPtSource 8.7%30.6%GPT-5.5 Pro leads
Knowledge
BenchmarkGPT-5.2-CodexGPT-5.5 ProResult
Artificial Analysis Intelligence IndexSource 40.1%Not comparable
AA-GPQA DiamondSource 89.9%Not comparable
AA-HLESource 33.5%Not comparable
AA-Omniscience IndexSource -2.5%Not comparable
AA-Omniscience AccuracySource 40.7%Not comparable
AA-Omniscience Hallucination RateSource 72.8%Not comparable
HLESource 57.2%Not comparable
HLE w/o toolsSource 43.1%Not comparable
Math
BenchmarkGPT-5.2-CodexGPT-5.5 ProResult
FrontierMath (legacy)Source 52.4%Not comparable
FrontierMath v2 (Tiers 1-3)Source 51.000%Not comparable
FrontierMath v2 (Tier 4)Source 39.600%Not comparable
Multimodal
BenchmarkGPT-5.2-CodexGPT-5.5 ProResult
AA-MMMU-ProSource 76.3%Not comparable
Inst. Following
BenchmarkGPT-5.2-CodexGPT-5.5 ProResult
AA-IFBenchSource 77.6%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5.2-Codex and GPT-5.5 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 GPT-5.5 Pro today?

GPT-5.2-Codex: $1.75 input / $14.00 output per 1M tokens GPT-5.5 Pro: $30.00 input / $180.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 22, 2026

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